
Report research-corpus discovery curators (PROF-S) ranked by yield (return-to score = inducted-ref-count × avg GRADE), with revisit-cadence staleness and a discovery-orphan check. Runs via `aiwg corpus curator-status`.
Scaffold compact PROF-P entity profiles for unprofiled hub authors — ranks corpus REFs by citation in-degree, takes each top REF's primary author, skips institutional/group names and already-profiled people. Runs via `aiwg corpus profile-generate`.
Build, query, inspect dependencies, and report statistics for the searchable index of SDLC artifacts in .aiwg/
Scaffold a PROF-S source/curator profile for a research-corpus discovery curator (account/feed) from its handle. Runs via `aiwg corpus curator-init`.
Render research-corpus markdown index views (by-topic, by-year, authors, citation-network, ...) from corpus state. As of
Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.
Report research-corpus entity profiles (PROF-P/O/G/F) past their refresh cadence. Computes staleness via the shared cadence helper, sorted most-overdue-first. Runs via `aiwg corpus profile-status`.
Build the bipartite funder↔paper analytics — per-funder paper/A-grade/mean-grade rollup, mean CD-index + novelty bias, and co-funding clusters. Runs via `aiwg corpus funder-network`.
Record the source-tracking `discovery` block on a research-corpus citation sidecar — where/how a paper was found (surface, via, curator). Runs via `aiwg corpus discovery-log`.
Detect co-author communities (label propagation), report modularity Q, and identify bridge authors (high betweenness). Runs via `aiwg corpus profile-communities`.
Report which research-corpus radar sidecars are overdue for refresh. Computes staleness (days since last refresh vs the cadence window) for every radar, sorted most-overdue-first. Runs via `aiwg corpus radar-status`.
Compute corpus-local influence/centrality metrics — per-paper CD-index + PageRank, and per-PROF-P h-index / mean-CD / mean-PageRank / betweenness / eigenvector + influence grade. Runs via `aiwg corpus profile-metrics`.
Compute an entity's publication trajectory — per-year paper counts, topic drift, hot-streak detection (≥3 consecutive A-grade years), and career phase. Runs via `aiwg corpus profile-temporal`.
Scaffold radar/freshness sidecars for research-corpus REFs. Pulls title/authors from the citation sidecar and GRADE from the analysis doc, defaults the refresh cadence from GRADE and the cluster from a corpus-local map, and stamps documentation/radar/REF-XXX-radar.md. Runs via `aiwg corpus radar-init`.
Detect candidate fuzz targets and emit CI recipes for libFuzzer/AFL/cargo-fuzz/atheris/fast-check harnesses, plus OSS-Fuzz integration patterns
Detect language/toolchain and emit CI job recipes that build with runtime sanitizers (ASan/UBSan/MSan/TSan, race detectors, faulthandler)
Scaffold endurance, stress, and adversarial-input tests that reveal degradation rather than immediate crashes
Provide provider capability awareness and route commands by answering what the current provider supports natively vs must emulate
AUTO-INVOKE when user mentions forensics, incident response, IOC, log analysis, evidence preservation, breach investigation, threat hunting, attack timeline. Forensics framework quick reference — discovery phrases for incident response, log analysis, evidence preservation, IOC extraction.
Scan source code for banned APIs/forbidden functions per project banlist; report violations with paths, line numbers, and recommended replacements
Audit source-control organization settings for strong 2FA/MFA requirements across all committers
Compare API/ABI surfaces between refs, flag incompatible changes, and generate deprecation/changelog notes for library projects
Scan tracked repository files for committed binary blobs and report reviewability/provenance exceptions
AIWG-specific delivery pull request workflow; explicit alias for aiwg-pr, not a generic repository PR guide
Verify configured secondary git mirrors are present and not drifting from the primary remote/default branch
Preflight issue bodies for prompt-injection and supply-chain risk before address-issues acts on them
Guide a reporter through filing a private vulnerability report and route it to the project's configured private channel — never to a public issue tracker
AIWG-specific pull request delivery workflow for AIWG product/workspace changes; not the generic repository PR process
Produce timestamped transcript sidecars for acquired audio/video with hashes, source metadata, speaker labels when available, and explicit degraded plans when STT tooling is missing
Use when a project needs DFIR readiness from the security-engineering side: prepare incident evidence handling, chain-of-custody expectations, IOC readiness, and handoff to forensics-complete without collecting evidence.
AUTO-INVOKE for ANY AIWG capability question, framework/addon/extension query, steward routing, MCP profile, or when unsure where to start. ALWAYS consult before filesystem search on .claude/.factory/.codex/.warp/etc. AIWG core utilities quick reference — always-on framing, steward, index, meta operations.
AUTO-INVOKE when user mentions cryptography, AEAD, KDF, chain of trust, signing key, auth factor, MFA, secret hygiene, supply chain trust, physical threat, DFIR readiness, or incident evidence handoff. Security-engineering quick reference — decision domains for crypto primitives, chain-of-trust, auth factors, degraded modes, supply-chain trust, physical-threat modeling, and DFIR readiness routing.
Regenerate platform context file with preserved team directives
Address open issues using issue-thread-driven agent loops with 2-way human-AI collaboration
Check build and CI configuration for warning-as-error, strict typechecking, and language-specific compiler/linter floors
Track private vulnerability reports from triage through fix, CVE coordination, embargo, publication, and post-disclosure closure
Detect requests for iterative autonomous agent loops and route to the appropriate loop executor
Detect bidi controls, zero-width characters, mixed-script identifiers, and homoglyph risks in source and release metadata
Read-only health check on browser-control setup. Verifies browser binary, Playwright MCP Bridge extension presence, token file mode/contents, AIWG MCP registration, provider config injection, and optional workspace allow-list. Outputs pass/fail per check with remediation commands.
Interactive wizard that wires up @playwright/mcp end-to-end — detects the user's browsers, walks through Playwright MCP Bridge extension install, captures the per-install token, registers the MCP server in the AIWG registry with --extension and the env block, injects into the active provider's config, and verifies the connection.
Scaffold a new agent definition file inside an existing addon or framework
Orchestrate multi-loop background operations via the Mission Control dashboard — start sessions, dispatch missions, monitor, and stop
Generate or complete intake forms (project-intake, solution-profile, option-matrix) with interactive questioning and optional guidance. INTENDED FOR SUBSTANTIAL NEW WORK — new addons, new frameworks, new tracks, refactors crossing module boundaries — not every feature request. Apply the `sdlc-right-sizing` rule first to determine whether intake is appropriate; most day-to-day features need only an issue and possibly an ADR.
Create a new agent with AI-guided expertise definition following the Agent Design Bible
Reconfigure the browser-control wiring. Rotate the Playwright MCP Bridge token, switch the target browser, or fully tear down the AIWG registration and provider injection. Walks the user through extension UI regeneration where needed; respects human-authorization gates for destructive operations.
AUTO-INVOKE when user mentions ops, runbook, inventory, audit trail, ops repo, sysops, devops, itops, infrastructure operations, fleet management. Ops framework quick reference — capability domains, extension model, and discovery phrases for runbooks, inventory, audit trail, verification.
Enable interactive design mode
Execute iterative task loop until completion criteria are met - iteration beats perfection
Apply a voice profile to transform content. Use when the user asks to write in a specific voice, match a tone, or sound like a particular voice profile.
Analyze test coverage reports, identify gaps by priority, and recommend test improvements with trend tracking
Config-driven release orchestration — reads .aiwg/release.config and walks the project's declared gates (local build, CI green, doc-sync, changelog/announcement, README, release entry, post-release housekeeping)
Audit CI workflow files for supply-chain risk — unpinned actions, unpinned container images, pull_request-triggered jobs with secret access, curl-pipe-shell installers, and bare :latest tags. Produces a structured markdown report with file:line refs.
Execute STRIDE threat modeling, vulnerability scanning, and security control validation with risk scoring
Plan iterations, delegate to SDLC agents, and compile iteration status
Cross-framework project status aggregator — discovers contributors from installed frameworks, runs declarative detection, produces a unified status report.
Ingest a source into any consumer's semantic memory by reading the topology contract
Execute multi-stage research workflows
AIWG project issue filing only — templates, environment capture, duplicate detection, and import flow for AIWG tracker reports; not for general issue audits or address-issues processing
Enforce minimum security criteria before iteration close or release
Update project CLAUDE.md with AIWG framework context and configuration
Audit and triage general issue backlogs with read-only defaults, interactive cleanup decisions, and guidance steering; use this for "audit open issues" instead of aiwg-issue
Parallel fan-out processing - spawn multiple sub-agents for chunked context processing
Rebuild and redeploy AIWG from local customization source — makes recent edits live
Display workspace status dashboard showing installed frameworks, deployments, artifact counts, and health indicators
Orchestrate a pragmatic npm supply-chain hardening pass: dependency-source audit, release-age gate, lifecycle-script review, trusted publishing, signed releases, SBOM, and user verification docs.
Audit npm projects for Shai-Hulud-class supply-chain exposure: lifecycle scripts, Git dependency prepare hooks, release-age gaps, publish-token exposure, trusted publishing, signed releases, and verifier docs.
Run the full Recursive Language Model pipeline — prep, fan out across chunks, and recursively synthesize until results fit one context window
Crash-resilient external agent loop with state persistence and CI/CD integration
Infer measurable completion criteria for an agent-loop task from project docs, code, and AIWG standards when the user has not supplied --completion explicitly
Start an agentic session with pre-flight health checks, auto-repair, optional MCP injection, and provider launch
Combine multiple voice profiles with weighted mixing to create hybrid voices
Capture, list, show, or replay point-in-time workflow snapshots so execution state can be preserved and reproduced
Merge multiple SOUL.md files into a composite persona for team-level agents or multi-perspective characters
Reverse-engineer voice profiles from sample content by analyzing writing patterns
Provide provider capability awareness and route commands by answering what the current provider supports natively vs must emulate
Apply a SOUL.md identity to content generation, incorporating worldview, opinions, and character
Show SOUL.md enforcement state across all installed providers with quality check
Generate a SOUL.md identity file from source material, interactive prompts, or an existing voice profile
Improve an existing SOUL.md by identifying vague sections, suggesting missing content, and generating calibration examples
Enable soul enforcement by wiring SOUL.md into platform context files and deploying the enforcement rule
Validate a SOUL.md file against community best practices and quality criteria
Analyze and summarize a transcript, meeting notes, or discussion thread into a clear actionable document
Deploy AIWG frameworks and addons to the current workspace across supported providers
Apply a voice profile to transform content. Use when the user asks to write in a specific voice, match a tone, or sound like a particular voice profile.
Detect AI-generated writing patterns and suggest authentic alternatives. Use when reviewing or editing content, or when the user mentions authenticity or natural voice.
Wipe .aiwg/ directory and optionally restart with fresh intake
Clean up .aiwg/working/ by promoting, archiving, or deleting temporary files
Remove a previously installed Claude Code plugin and unregister it from the local plugin registry
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions
Orchestrate multi-agent teams across AIWG providers natively on Claude Code or emulated via Mission Control elsewhere
Update AIWG to the latest stable version and re-deploy all installed frameworks from the registry
Validate AIWG extension definitions against the metadata schema and report errors with field names, line numbers, and remediation hints
Generate an AIWG voice profile from an existing SOUL.md identity file
Assess workspace alignment and recommend cleanup or realignment actions at key lifecycle transition points
Generate custom voice profiles from natural language descriptions by mapping tone, formality, and domain to voice dimensions
Display the current AIWG version, release channel, and installation path
Generate a SOUL.md from an existing AIWG voice profile
Reorganize and update .aiwg/ documentation to reflect current project reality
Load, validate, and populate templates consistently across frameworks
Manage the AIWG skills registry by listing, searching, inspecting, installing, and publishing skills
Disable soul enforcement without deleting SOUL.md or soul files
Create, update, list, or run scheduled remote agents (triggers) that execute on a cron schedule
Orchestrate dual-track iteration with synchronized Discovery (next) and Delivery (current) workflows
Orchestrate Knowledge Transfer flow with assessment, documentation, shadowing, validation, and handover
Generate behavioral specifications (Layer 3) from use cases and architecture documents using multi-agent orchestration
Classify incidents by severity, assemble response teams, and coordinate initial response actions and comms
Scan existing codebase and generate intake documents by analyzing code, dependencies, and infrastructure. Accepts optional guidance text to tailor analysis.
Scaffold a new behavior definition with BEHAVIOR.md and optional scripts inside an existing addon or framework
Research-grounded SDLC issue planner — dispatches parallel research, generates the supporting doc corpus, then files prioritized cross-referenced issues for human review.
Validate provenance records and chains for completeness and consistency
Scaffold a new agent definition file inside an existing addon or framework
Query and manage the unified .aiwg/activity.log chronological record of AIWG-managed workflow operations
Security-engineering framework quick reference — decision domains and curated discovery phrases for crypto primitives, chain-of-trust, auth factors, degraded modes, supply-chain trust, and physical-threat modeling
Verify all citations in a document against the research corpus
Generate troubleshooting documentation
Verify bidirectional traceability from requirements to code to tests and identify coverage gaps and orphan artifacts
Trigger Tree of Thoughts exploration when agents face architectural decisions with multiple valid approaches
Evaluate architectural decisions using Tree of Thoughts exploration
Generate system definition file for ToolSmith with tested OS commands
One-command TDD infrastructure setup with pre-commit hooks and CI coverage gates
Enforce minimum security criteria before iteration close or release
Perform comprehensive security assessment
Generate MCP environment definition for MCPSmith with Docker and Node.js verification
Generate SDLC reports including iteration status, metrics dashboards, and executive summaries across phases
SDLC framework quick reference — phase model, capability domains, and curated discovery phrases that surface the right skill on `aiwg discover`
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions and focused gate questions
Continuously identify, assess, track, and retire risks throughout the SDLC with register and RAG reporting
Analyze team retrospectives for insights
Generate properly formatted citation from research corpus
Detect visual and UI regressions through screenshot comparison and pixel-diff analysis across browsers and viewports
Generate comprehensive regression analysis reports combining bisect, baseline, and metrics data with actionable recommendations
Detect performance regressions by comparing benchmarks across versions with latency, throughput, and statistical significance analysis
Track and analyze regression statistics, trends, hotspots, and health indicators across test suites
Improve regression detection over time through cross-task pattern recognition, test prioritization, and historical analysis
Integrate regression testing into CI/CD pipelines with baseline comparison and merge blocking on failure
Compare current behavior against baseline to detect regressions
Identify the commit that introduced a regression using git bisect with automated test execution and blame context
Create and maintain regression test baselines for comparison and drift detection across versioned snapshots
Automatically manage regression test baseline lifecycle triggered by releases, deployments, and quality gates
Perform GRADE quality assessment on a research source
Detect breaking changes in API contracts across REST, GraphQL, and gRPC interfaces with semver enforcement
Generate provenance coverage dashboard and statistics
Query provenance chains to trace artifact derivation and impact
Create a W3C PROV-compliant provenance record for an artifact
Simulate project outcomes with variable modeling, risk assessment, and resource optimization scenarios.
Analyze overall project health and metrics
Conduct comprehensive PR review from multiple perspectives (PM, Developer, QA, Security)
Plan iterations, delegate to SDLC agents, and compile iteration status
Update existing ticket/issue with status changes, comments, or field updates
Automatically detect and update linked issues based on commits, artifacts, and task events
List and filter tickets/issues from configured backend
Create a new ticket/issue with configurable backend (Gitea, GitHub, Jira, Linear, or local files)
Add structured comments to issues using templates for progress, feedback, or blockers
Mark an issue as complete with comprehensive summary and verification
Detect issue references in commits and artifacts and automatically update or close linked tracker issues
Generate or complete intake forms (project-intake, solution-profile, option-matrix) with interactive questioning and optional guidance
Ingest the Project Intake Form and kick off Concept → Inception with agent assignments, accepts optional guidance to tailor process
Generate corpus-wide GRADE quality distribution report
Trigger GRADE quality assessment automatically when new research sources or findings enter the corpus
Validate phase gate criteria with multi-agent review and generate pass/fail reports
Orchestrate comprehensive test strategy with test suite execution, coverage validation, defect triage, and regression analysis
Generate comprehensive test suite for $ARGUMENTS following project testing conventions and best practices.
Orchestrate continuous security validation, threat modeling, vulnerability management, and security gate enforcement across SDLC phases
Orchestrate Team Onboarding flow with pre-boarding, training, buddy assignment, and 30/60/90 day check-ins
Orchestrate continuous risk identification, assessment, tracking, and retirement across SDLC phases
Orchestrate systematic retrospective cycle with structured feedback collection, improvement tracking, and action item management
Orchestrate living requirements refinement, change control, impact analysis, and traceability maintenance throughout SDLC
Orchestrate continuous performance optimization with baseline establishment, bottleneck identification, optimization implementation, load testing, and SLO validation
Orchestrate production incident triage, escalation, resolution, and post-incident review using ITIL best practices
Orchestrate Inception→Elaboration phase transition with architecture baselining and risk retirement
Orchestrate hypercare monitoring period with 24/7 support, SLO tracking, and rapid issue response
Orchestrate handoff validation between SDLC phases and tracks (Discovery→Delivery, Delivery→Ops, phase transitions)
Orchestrate SDLC phase gate validation with multi-agent review and comprehensive reporting
Orchestrate Elaboration→Construction phase transition with iteration planning, team scaling, and full-scale development kickoff
Orchestrate production deployment with strategy selection, validation, automated rollback, and regression gates
Orchestrate Delivery Track flow with test-driven development, quality gates, and iteration assessment
Orchestrate cross-team synchronization with dependency mapping, sync cadence, blocker escalation, integration planning, and cross-team demos
Orchestrate Concept→Inception phase transition with intake validation and vision alignment
Orchestrate compliance validation workflow with requirements mapping, audit evidence collection, gap analysis, remediation tracking, and attestation
Orchestrate change control workflow with baseline management, impact assessment, CCB review, and communication
Orchestrate architecture evolution workflow with ADR management, architecture review, breaking change analysis, and migration planning
Synchronize documentation and code to eliminate drift with parallel audit, auto-fix, and Al refinement
Crawl repository for scattered docs and consolidate into categorized reference index in .aiwg/docs/
Facilitate data-driven technical decisions using weighted decision matrices, trade-off analysis, and ADR generation
Create a Product Requirements Document (PRD) for a product feature
Orchestrate Construction→Transition phase transition with IOC validation, production deployment, and operational handover
Report on research corpus health, completeness, and integrity
Validate that an AIWG skill chain has all requires inputs satisfied by upstream ensures outputs. Catches missing dependencies at wiring time, not runtime.
Generate a human-readable manifest for an AIWG skill chain — agent assignments, requires/ensures contracts, data flow, and parallelization opportunities.
CI-friendly complexity enforcement gate returning pass/fail results for pipeline integration
Map source file structure into navigable sections with line ranges and summaries for efficient agent navigation
Scan source code and report agent-readiness metrics with actionable recommendations
Verify citations against the research corpus to prevent hallucinated references and enforce GRADE compliance
Verify the full refinement chain from use cases through behavioral specs, pseudo-code specs, code, and tests — report coverage at each layer and identify gaps
Build or rebuild the SDLC artifact index for agent-navigable discovery
Audit codebase for dead code, unused exports, orphaned files, and stale manifests
Build a Proof of Concept (PoC) to validate technical feasibility and retire architectural risks
Configure Yarn's npmMinimalAgeGate (7-day default, 10-day high-sensitivity) for JavaScript projects on Yarn 4.x or later. Includes Corepack detection and lockfile-caveat warning.
Check a file for citation quality and GRADE compliance
Execute STRIDE threat modeling, vulnerability scanning, and security control validation with risk scoring
Generate or update the agentic environment definition for AgentSmith, SkillSmith, and CommandSmith
Analyze test coverage reports, identify gaps by priority, and recommend test improvements with trend tracking
Regenerate CLAUDE.md for Claude Code with hook file architecture
Regenerate Codex context file (CODEX.md or ~/.codex/instructions.md) with AIWG framework content
Regenerate copilot-instructions.md for GitHub Copilot with vendor-specific content only
Regenerate .cursorrules for Cursor with preserved team directives
Regenerate platform context file with preserved team directives
Manage artifact metadata, versioning, ownership, and review history across the SDLC lifecycle
Validate documentation for unsupported claims, made-up metrics, and unverifiable statements
Audit codebase for dead code, unused exports, orphaned files, and stale manifests
Set or report the reproducibility mode governing how AIWG workflows execute, from standard to fully auditable
Analyze token usage efficiency against the MetaGPT baseline and surface per-step optimization opportunities
Auto-populate SDLC artifact metadata headers across all templates using team profile configuration
Migrate the .aiwg/ directory from single-framework layout to the multi-framework layout with an automatic backup
Route natural language requests to appropriate skills and workflows by parsing intent and matching trigger patterns
Bundle a single plugin into a distributable marketplace archive, validating metadata and optionally publishing
Batch package every plugin in the workspace in a single release-prep operation
Manage remotely installed AIWG packages sourced from Git repositories via list, info, and remove subcommands
Run a workflow multiple times and compare outputs to produce a similarity score and pass/fail verdict
Launch multiple agents concurrently, collect their results, and handle timeouts for fan-out orchestration patterns
Cross-framework project status aggregator — discovers contributors from installed frameworks, runs declarative detection, produces a unified status report.
Regenerate WARP.md for Warp Terminal with preserved team directives
Create a complete framework package structure inside agentic/code/frameworks/
Create a complete addon package structure inside agentic/code/addons/
Remove a deployed framework or addon from the current workspace
Execute a named script defined in .aiwg/aiwg.config or list all available scripts
Restore the .aiwg/ directory from a migrate-workspace backup, listing available backups when none is specified
Manage the AIWG ops ecosystem of sysops, devops, and itops workspaces and frameworks
Show AIWG hook state across all installed providers
Lint @-mentions for style consistency and correctness
Generate traceability report from @-mentions
Validate all @-mentions resolve to existing files
Analyze codebase and inject @-mentions for traceability
Display @-mention naming conventions and placement rules
Rebuild AIWG hook files from currently installed framework manifests
Build, query, inspect dependencies, and report statistics for the searchable index of SDLC artifacts in .aiwg/
Pull the latest upstream AIWG updates into the user's fork and rebuild — preserves user customizations
Install AIWG-compatible packages from remote Git repositories into the current workspace
List the frameworks and addons currently installed in the workspace registry
Disable the AIWG context hook without uninstalling AIWG or deleting hook files
Synchronize documentation and code to eliminate drift with parallel audit and auto-fix
Enable the AIWG context hook in platform context files without re-deploying
Migrate existing CLAUDE.md full-injection to the AIWG.md hook file architecture
Manage the user-level AIWG configuration file for persistent preferences across all projects
Generate deployment configurations (Docker, Kubernetes) for the current project
Rebuild and redeploy AIWG from local customization source — makes recent edits live
Ensure the session's AIWG installation is current and correctly deployed to the active provider
Show current AIWG customization status — mode, source path, what you've customized vs upstream
Browse the AIWG model catalog — list available AI models, fetch model details, and search by capability or name
Manage AIWG behavior bundles that bind reactive directives and toolset configurations to specific agent types
Configure pnpm's minimumReleaseAge gate (7-day default, 10-day high-sensitivity) plus blockExoticSubdeps for workspace-scope dep-source enforcement. Includes Corepack detection and lockfile-caveat warning.
Validate AIWG extension definitions against the metadata schema and report errors with field names, line numbers, and remediation hints
Configure Bun's install.minimumReleaseAge gate (7-day default, 10-day high-sensitivity) for JavaScript projects on Bun. Includes Corepack-equivalent version detection and lockfile-caveat warning.
Configure and review npm min-release-age controls for JavaScript projects, including 7-day default gates, 10-day high-sensitivity profiles, npm version requirements, and safe override handling.
AIWG addons + extensions language map — categories, curated discover phrases, and per-bundle pointers covering everything beyond the framework quickrefs
Synchronize documentation and code to eliminate drift — detect stale docs, fix documentation drift, reconcile code-to-docs and docs-to-code with parallel audit and Al refinement
Create a new extension package inside an existing framework's extensions/ directory
Display a comprehensive runtime environment report covering detected provider, available tools, AIWG version, and installed frameworks
Transform standard technical content into ROKO voice — dense technical mythology wrapped in cypherpunk cultural narrative
Detect project type, AIWG framework state, team configuration, and active work to summarize status and recommend next actions
List installed Claude Code plugins with version, install date, and enabled status
Scaffold a new AIWG-managed project with .aiwg/ directory structure, starter CLAUDE.md, and framework registry
Install plugins into Claude Code from the AIWG marketplace with registry lookup, download, and local deployment
Submit a bug report, feature request, or feedback to the AIWG GitHub repository — prefills system context automatically
Crawl repository for scattered docs and consolidate into categorized reference index in .aiwg/docs/
Initialize AIWG daemon mode configuration from a named profile for persistent background sessions
Set up personal AIWG customization mode from a local clone or fork — makes your clone the live global AIWG instance so edits go live immediately
Contribute a user's AIWG customization back upstream as a PR — reviews for general applicability, creates branch, opens PR
Generate a cost and token-spending report for the current or most recent workflow session
Show cost trends across multiple workflow sessions, surfacing expensive operations, spending patterns, and outliers
Initialize an AIWG contribution workflow by creating a feature branch, configuring DCO, and linking a tracking issue
Validate AIWG configuration files and project setup for correctness and completeness
Create a well-formatted git commit and push to remote repository
Create, list, or recover mid-workflow checkpoints so interrupted work resumes from a known-good position
Display workspace status dashboard showing installed frameworks, deployments, artifact counts, and health indicators
Regenerate .windsurfrules for Windsurf with preserved team directives
AIWG core utilities quick reference — capability domains and curated discovery phrases for the always-on framing, steward, index, and meta operations
Regenerate OpenCode context file (.opencode/context.md) with AIWG framework content
Regenerate AGENTS.md for Factory AI with hook file architecture
Regenerate AGENTS.md with vendor-neutral content for multi-platform support
Update AIWG CLI and redeploy frameworks/tools to current project without leaving the session
Manage the AIWG MCP server — start it, configure clients, and maintain the registered server registry
Display all available AIWG CLI commands, their arguments, and usage examples
Initialize AIWG configuration for an existing project by creating .aiwg/aiwg.config with provider and script entries
Contextual AIWG help — explains current version features, answers how-to questions, routes live queries to the steward
Run a comprehensive health check on the AIWG installation and workspace with pass/fail diagnostics and remediation steps
Scaffold a new document template inside an existing addon or framework
Scaffold a new SKILL.md inside an existing addon or framework
Scaffold a new command definition inside an existing addon or framework
Generate W3C PROV-compliant provenance records automatically when agents create or modify artifacts
Analyze large source files and produce decomposition plans, optionally executing refactoring with import updates and test verification
Orchestrate Discovery Track flow to prepare validated requirements and designs one iteration ahead of delivery
Orchestrate autonomous issue-to-code implementation using existing tools and agents with bounded iteration
Enforce minimum security criteria before iteration close or release
Accept/reject logic and quality scoring heuristics for media content
yt-dlp patterns for acquiring content from YouTube and video platforms
Lint @-mentions for style consistency and correctness
Full multi-agent investigation workflow
Evidence acquisition with chain of custody and hash verification
Orchestrate Concept→Inception phase transition with intake validation and vision alignment
Orchestrate SDLC phase gate validation with multi-agent review and comprehensive reporting
Generate comprehensive test suite for $ARGUMENTS following project testing conventions and best practices.
Classify incidents by severity, assemble response teams, and coordinate initial response actions and comms
Generate or complete intake forms (project-intake, solution-profile, option-matrix) with interactive questioning and optional guidance
Detect issue references in commits and artifacts and automatically update or close linked tracker issues
List and filter tickets/issues from configured backend
Research-grounded SDLC issue planner — dispatches parallel research, generates the supporting doc corpus, then files prioritized cross-referenced issues for human review.
Update existing ticket/issue with status changes, comments, or field updates
Validate provenance records and chains for completeness and consistency
Scan existing campaign materials, media kit, or marketing assets and generate intake documents by analyzing content, brand elements, and performance data
Detect breaking changes in API contracts across REST, GraphQL, and gRPC interfaces with semver enforcement
Generate system definition file for ToolSmith with tested OS commands
Update AIWG CLI and redeploy frameworks/tools to current project without leaving the session
Validate all @-mentions resolve to existing files
Scaffold a new AIWG-managed project with .aiwg/ directory structure, starter CLAUDE.md, and framework registry
Update existing project CLAUDE.md with latest AIWG orchestration guidance
Auto-populate SDLC artifact metadata headers across all templates using team profile configuration
Report on research corpus health, completeness, and integrity
Download research papers and extract metadata
Update project CLAUDE.md with AIWG framework context and configuration
Scan existing codebase and generate intake documents by analyzing code, dependencies, and infrastructure. Accepts optional guidance text to tailor analysis.
CI-friendly complexity enforcement gate returning pass/fail results for pipeline integration
Scan source code and report agent-readiness metrics with actionable recommendations
Validate that an AIWG skill chain has all requires inputs satisfied by upstream ensures outputs. Catches missing dependencies at wiring time, not runtime.
Create a Product Requirements Document (PRD) for a product feature
Facilitate data-driven technical decisions using weighted decision matrices, trade-off analysis, and ADR generation
Orchestrate architecture evolution workflow with ADR management, architecture review, breaking change analysis, and migration planning
Orchestrate change control workflow with baseline management, impact assessment, CCB review, and communication
Trigger GRADE quality assessment automatically when new research sources or findings enter the corpus
Orchestrate compliance validation workflow with requirements mapping, audit evidence collection, gap analysis, remediation tracking, and attestation
Orchestrate Construction→Transition phase transition with IOC validation, production deployment, and operational handover
Orchestrate cross-team synchronization with dependency mapping, sync cadence, blocker escalation, integration planning, and cross-team demos
Orchestrate Delivery Track flow with test-driven development, quality gates, and iteration assessment
Orchestrate production deployment with strategy selection, validation, automated rollback, and regression gates
Orchestrate Discovery Track flow to prepare validated requirements and designs one iteration ahead of delivery
Generate deployment configurations (Docker, Kubernetes) for the current project
Orchestrate Elaboration→Construction phase transition with iteration planning, team scaling, and full-scale development kickoff
Orchestrate autonomous issue-to-code implementation using existing tools and agents with bounded iteration
Orchestrate handoff validation between SDLC phases and tracks (Discovery→Delivery, Delivery→Ops, phase transitions)
Orchestrate hypercare monitoring period with 24/7 support, SLO tracking, and rapid issue response
Orchestrate Inception→Elaboration phase transition with architecture baselining and risk retirement
Orchestrate production incident triage, escalation, resolution, and post-incident review using ITIL best practices
Orchestrate dual-track iteration with synchronized Discovery (next) and Delivery (current) workflows
Orchestrate Knowledge Transfer flow with assessment, documentation, shadowing, validation, and handover
Orchestrate continuous performance optimization with baseline establishment, bottleneck identification, optimization implementation, load testing, and SLO validation
Orchestrate living requirements refinement, change control, impact analysis, and traceability maintenance throughout SDLC
Orchestrate systematic retrospective cycle with structured feedback collection, improvement tracking, and action item management
Orchestrate continuous risk identification, assessment, tracking, and retirement across SDLC phases
Orchestrate continuous security validation, threat modeling, vulnerability management, and security gate enforcement across SDLC phases
Orchestrate Team Onboarding flow with pre-boarding, training, buddy assignment, and 30/60/90 day check-ins
Orchestrate comprehensive test strategy with test suite execution, coverage validation, defect triage, and regression analysis
Ingest the Project Intake Form and kick off Concept → Inception with agent assignments, accepts optional guidance to tailor process
Mark an issue as complete with comprehensive summary and verification
Conduct comprehensive PR review from multiple perspectives (PM, Developer, QA, Security)
Create and maintain regression test baselines for comparison and drift detection across versioned snapshots
Simulate project outcomes with variable modeling, risk assessment, and resource optimization scenarios.
Automatically manage regression test baseline lifecycle triggered by releases, deployments, and quality gates
Generate comprehensive regression analysis reports combining bisect, baseline, and metrics data with actionable recommendations
Route marketing assets through multi-stakeholder approval chains with status tracking and escalation
Synthesize audience data from multiple sources into unified personas, segments, and targeting strategies
Refine brand identity through metaphor testing, competitive research, and owner-grounded verification tied to repository reality
Run multi-stage quality assurance on marketing assets with channel-specific validation and approval-ready reports
Aggregate multi-reviewer feedback into consolidated, prioritized, and actionable recommendations
Download media from discovered sources with format selection and progress tracking
Generate a human-readable manifest for an AIWG skill chain — agent assignments, requires/ensures contracts, data flow, and parallelization opportunities.
Analyze large source files and produce decomposition plans, optionally executing refactoring with import updates and test verification
Orchestrate comprehensive test strategy with test suite execution, coverage validation, defect triage, and regression analysis
Orchestrates issue-driven agent loops that post cycle status to issue threads and incorporate human feedback in each cycle.
List and filter tickets/issues from configured backend
Wipe .aiwg/ directory and optionally restart with fresh intake
Configure TDD enforcement via pre-commit hooks and CI coverage gates. Use when setting up test-first workflows or adding coverage gates.
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions and focused gate questions
Orchestrate systematic retrospective cycle with structured feedback collection, improvement tracking, and action item management
View and configure agent loop settings — show, set, reset, and apply named presets
Crash-resilient external loop with state persistence and CI/CD integration
Assess workspace alignment and recommend cleanup or realignment actions at key lifecycle transition points
Orchestrate Construction→Transition phase transition with IOC validation, production deployment, and operational handover
Orchestrate Inception→Elaboration phase transition with architecture baselining and risk retirement
Manage bounded iteration loops for autonomous implementation — track retries, synthesize failure feedback, and escalate when limits hit
Regenerate CLAUDE.md for Claude Code with hook file architecture
Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.
Orchestrate architecture evolution workflow with ADR management, architecture review, breaking change analysis, and migration planning
Orchestrate Knowledge Transfer flow with assessment, documentation, shadowing, validation, and handover
Update existing ticket/issue with status changes, comments, or field updates
Steward-assisted prep for filing issues and PRs — environment capture, template selection, duplicate detection, delivery-policy compliance check
Build a Proof of Concept (PoC) to validate technical feasibility and retire architectural risks
Synchronize documentation and code to eliminate drift with parallel audit, auto-fix, and Al refinement
Generate MCP environment definition for MCPSmith with Docker and Node.js verification
Create a new ticket/issue with configurable backend (Gitea, GitHub, Jira, Linear, or local files)
Perform GRADE quality assessment on a research source
Analyze test coverage reports, identify gaps by priority, and recommend test improvements with trend tracking
Project directory path (default current directory)
Project directory path (default current directory)
Marketing framework quick reference — capability domains and curated discovery phrases for campaign intake, brand compliance, content production, audience synthesis, and approval workflows
Orchestrate marketing data collection, transformation, aggregation, and reporting workflows across platforms
Project directory path (default current directory)
Project directory path (default current directory)
Validate manually-created campaign intake forms and kick off Strategy phase with agent assignments
Project directory path (default current directory)
Generate or complete marketing intake forms (campaign-intake, brand-profile, option-matrix) with interactive questioning and optional guidance
Enable interactive question mode
Project directory path (default current directory)
Manage Al semantic memory entries — list, query, and clear lessons learned across loop iterations
Crawl repository for scattered docs and consolidate into categorized reference index in .aiwg/docs/
Perform comprehensive security assessment
Validate phase gate criteria with multi-agent review and generate pass/fail reports
Generate behavioral specifications (Layer 3) from use cases and architecture documents using multi-agent orchestration
Generate corpus-wide GRADE quality distribution report
Scan existing codebase and generate intake documents by analyzing code, dependencies, and infrastructure. Accepts optional guidance text to tailor analysis.
Resume an interrupted agent loop from last checkpoint
Create a new slash command with AI-guided behavior definition
Add structured comments to issues using templates for progress, feedback, or blockers
Automatically detect and update linked issues based on commits, artifacts, and task events
Plan iterations, delegate to SDLC agents, and compile iteration status
Track and analyze regression statistics, trends, hotspots, and health indicators across test suites
Analyze overall project health and metrics
Identify the commit that introduced a regression using git bisect with automated test execution and blame context
Compare current behavior against baseline to detect regressions
Create a W3C PROV-compliant provenance record for an artifact
Query provenance chains to trace artifact derivation and impact
Generate provenance coverage dashboard and statistics
Integrate regression testing into CI/CD pipelines with baseline comparison and merge blocking on failure
Improve regression detection over time through cross-task pattern recognition, test prioritization, and historical analysis
Detect visual and UI regressions through screenshot comparison and pixel-diff analysis across browsers and viewports
Generate properly formatted citation from research corpus
Detect performance regressions by comparing benchmarks across versions with latency, throughput, and statistical significance analysis
Analyze team retrospectives for insights
Continuously identify, assess, track, and retire risks throughout the SDLC with register and RAG reporting
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions and focused gate questions
SDLC framework quick reference — phase model, capability domains, and curated discovery phrases that surface the right skill on `aiwg discover`
Generate SDLC reports including iteration status, metrics dashboards, and executive summaries across phases
Execute STRIDE threat modeling, vulnerability scanning, and security control validation with risk scoring
Project directory path (default current directory)
Validate brand compliance across visual, verbal, and legal dimensions with actionable reports
One-command TDD infrastructure setup with pre-commit hooks and CI coverage gates
Generate or update the agentic environment definition for AgentSmith, SkillSmith, and CommandSmith
Evaluate architectural decisions using Tree of Thoughts exploration
Trigger Tree of Thoughts exploration when agents face architectural decisions with multiple valid approaches
Verify bidirectional traceability from requirements to code to tests and identify coverage gaps and orphan artifacts
Knowledge-base framework quick reference — capability domains and curated discovery phrases for KB ingest/health, semantic-memory kernel skills, and llm-wiki profiles
Generate troubleshooting documentation
Forensics framework quick reference — capability domains and curated discovery phrases for incident response, log analysis, evidence preservation, and IOC extraction
Verify all citations in a document against the research corpus
Project directory path (default current directory)
Project directory path (default current directory)
Gather and analyze competitive intelligence across channels to surface positioning shifts and market opportunities
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Generate executive-ready marketing performance summaries with insights, trends, and prioritized recommendations
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Discover and rank media sources across platforms for an artist or specific content
Media-curator framework quick reference — capability domains and curated discovery phrases for discography analysis, source discovery, acquisition, quality filtering, metadata, and archive integrity
Ops framework quick reference — capability domains, extension model, and curated discovery phrases for runbooks, inventory, audit trail, and verification
Research framework quick reference — capability domains and curated discovery phrases for corpus inception, paper acquisition, GRADE quality, citation graphs, and provenance-tracked synthesis
Address open issues using issue-thread-driven agent loops with 2-way human-AI collaboration
Execute multi-stage research workflows
Search AIWG knowledge base for help, documentation, and troubleshooting
Setup Warp Terminal with AIWG framework context (preserves existing content)
Update AGENTS.md with project-specific context for Factory AI based on codebase analysis
Update existing project CLAUDE.md with latest AIWG orchestration guidance
Update existing project WARP.md with latest AIWG orchestration guidance
Manage architecture changes with impact analysis, ADR generation, migration planning, and breaking change tracking
Search and navigate SDLC artifacts by topic, type, phase, or tag using the aiwg index CLI
Orchestrate multi-agent artifact generation using the Primary Author, Parallel Reviewers, Synthesizer, Archive pattern
Display @-mention naming conventions and placement rules
Generate traceability report from @-mentions
Ingest the Project Intake Form and kick off Concept → Inception with agent assignments, accepts optional guidance to tailor process
Validate phase gate criteria with multi-agent review and generate pass/fail reports
Create a new ticket/issue with configurable backend (Gitea, GitHub, Jira, Linear, or local files)
Update AGENTS.md with project-specific context for Factory AI based on codebase analysis
AUTO-INVOKE when user mentions media curation, discography, archive, music collection, source acquisition, metadata tagging, Plex, Jellyfin, MPD. Media-curator framework quick reference — discovery phrases for discography analysis, source discovery, acquisition, quality filtering, metadata, archive integrity.
Orchestrate multi-agent artifact generation using the Primary Author, Parallel Reviewers, Synthesizer, Archive pattern
Full multi-agent investigation workflow
Detect requests for recursive decomposition and large-scale operations that benefit from RLM processing
Discover and rank media sources across platforms for an artist or specific content
Spawn sub-agent to process focused context and return structured result
Rebuild bidirectional citation edges in a research corpus. Scans outgoing citations, computes the inverse map, rewrites incoming tables. Fixes one-directional graphs.
Extract and enrich indicators of compromise
Generate forensic investigation report
Search for research papers across academic databases
Chain of custody and evidence preservation procedures covering log collection, hash verification, custody documentation, and evidence packaging per RFC 3227
Generate summaries and literature notes from research papers
AWS, Azure, and GCP forensic investigation covering audit logs, IAM review, storage access, network flows, and compute instance forensics
SHA-256 checksum manifest generation, self-verification, and PREMIS fixity patterns
Forensic investigation of Docker, containerd/CRI-O, and Kubernetes — inventory, escape detection, eBPF runtime monitoring, RBAC and etcd audit. Use when investigating container compromise.
Validate a SOUL.md file against community best practices and quality criteria
opustags and ffmpeg patterns for applying metadata to audio and video files
Audit a research corpus for shallow stubs, missing sources, and doc-depth issues. Detects docs written from abstracts rather than full papers; can dispatch expansion agents.
Generate a corpus snapshot report — computes dimensions, topology, degree distribution, delta from previous. Helps with cluster, chain, and gap analysis sections.
Build the mutual citation graph, find connected components, identify isolated clusters, and optionally search for bridge candidates and file gap issues.
Show research corpus health and statistics
Verify archive integrity with self-verifying SHA-256 checksums, generate VERIFY.md, and optionally create W3C PROV provenance
Research-grounded validation of a target (file, directory, or topic) against external best practices and vendor docs. Produces a cited, evidence-grounded comparison.
Improve an existing SOUL.md by identifying vague sections, suggesting missing content, and generating calibration examples
Decision aid for supply-chain trust beyond CVE/SBOM — pinning depth, reproducible builds, snapshot pins, firmware locking, and vendor+hash-lock for critical-path deps.
Decision aid for runtime secret hygiene — fd passing, scratch surface, error-path safety, identifier hygiene, and avoiding the SECRETS_ENV aggregation anti-pattern.
Threat library for physical-access threats STRIDE and OWASP Top 10 miss — evil-maid, DMA, hostile peripheral, travel-host, coercion, cold-boot, side-channel.
Decision-aid skill for fail-closed vs fail-open behavior. Forces a degraded-mode matrix and rejects "type Y to override" prompts in favor of multi-step ceremonies
Decision aid for choosing AEAD, KDF, MAC, and signature primitives — flags anti-patterns (CBC-without-MAC, ad-hoc KDF, key reuse, PBKDF2-on-high-entropy).
Decision aid for bootstrap and verification chains — forces the 'what authenticates the authenticator' question; patterns for signed bootstrap, measured boot, recovery.
Decision aid for authentication factor architecture — have/know/are mapping, coercion resistance, FIDO2 PIN/UV policy, and PRF hot-path anti-patterns.
Search the local research corpus, read matching findings, and synthesize an answer with inline citations to REF-XXX sources. The "query" operation for the research pipeline.
Assess source quality using GRADE methodology
Audit a research corpus for shallow stubs, missing sources, and doc-depth issues. Detects docs written from abstracts rather than full papers; can dispatch expansion agents.
Query provenance chains and artifact relationships
Run the research corpus lint ruleset to detect structural and referential integrity issues — orphan notes, missing frontmatter, broken references, missing GRADE assessments.
Analyze gaps in research coverage
Merge multiple SOUL.md files into a composite persona for team-level agents or multi-perspective characters
Manage architecture changes with impact analysis, ADR generation, migration planning, and breaking change tracking
W3C PROV-O patterns for tracking media derivation chains and production history
Run a comprehensive health check on the AIWG installation and workspace with pass/fail diagnostics and remediation steps
Apply metadata tags, embed artwork, and organize media files with consistent naming
Search and navigate SDLC artifacts by topic, type, phase, or tag using the aiwg index CLI
Generate W3C PROV-compliant provenance records automatically when agents create or modify artifacts
Show status of RLM task tree execution
Rebuild bidirectional citation edges in a research corpus. Scans outgoing citations, computes the inverse map, rewrites incoming tables. Fixes one-directional graphs.
Induct research sources (issue, file, directory, or URI) into a research corpus — reads, annotates, and files structured induction tasks. Like address-issues but for research.
Generate a SOUL.md identity file from source material, interactive prompts, or an existing voice profile
Orchestrate end-to-end media curation from analysis through acquisition, tagging, and verification
Document missing content in media archives with standardized GAP-NOTE markers that guide acquisition and measure completeness
Update project CLAUDE.md with AIWG framework context and configuration
Dispatch the same query to multiple subagents in parallel across chunks in a manifest and aggregate results with source provenance
Lint and health-check the knowledge base. Finds orphan pages, missing cross-references, stale claims, broken wiki-links, and regenerates the index.
Package corpus subsets as distribution archives. Filter by cluster, topic, REF range, or custom expression; bundles PDFs, analysis, citations, and BibTeX into tar.gz.
Evidence acquisition with chain of custody and hash verification
Patterns for finding, processing, and embedding cover artwork into media files
Analyze collection completeness against canonical discography and generate prioritized gap report
ffmpeg patterns for extracting audio from video files and transcoding between formats
Setup Warp Terminal with AIWG framework context (preserves existing content)
Update AGENTS.md with project-specific context for Factory AI based on codebase analysis
Update existing project CLAUDE.md with latest AIWG orchestration guidance
Update existing project WARP.md with latest AIWG orchestration guidance
Build or rebuild the SDLC artifact index for agent-navigable discovery
Build a Proof of Concept (PoC) to validate technical feasibility and retire architectural risks
Verify the full refinement chain from use cases through behavioral specs, pseudo-code specs, code, and tests — report coverage at each layer and identify gaps
Check a file for citation quality and GRADE compliance
Verify citations against the research corpus to prevent hallucinated references and enforce GRADE compliance
Audit codebase for dead code, unused exports, orphaned files, and stale manifests
Map source file structure into navigable sections with line ranges and summaries for efficient agent navigation
Display all available AIWG CLI commands, their arguments, and usage examples
AUTO-INVOKE when user mentions knowledge base, wiki, KB, semantic memory, llm-wiki, knowledge ingest, document corpus. Knowledge-base framework quick reference — discovery phrases for KB ingest/health, semantic-memory kernel skills, llm-wiki profiles.
Download media from discovered sources with format selection and progress tracking
Rebuild AIWG hook files from currently installed framework manifests
Download research papers and extract metadata
Route marketing assets through multi-stakeholder approval chains with status tracking and escalation
Threat hunt using Sigma rules against log sources
AUTO-INVOKE when user mentions marketing, campaign, brand, content production, audience persona, copy, social media, marketing intake, approval workflow. Marketing framework quick reference — discovery phrases for campaign intake, brand compliance, content production, audience synthesis, approval workflows.
Accept/reject logic and quality scoring heuristics for media content
AUTO-INVOKE when user mentions SDLC, requirements, architecture, ADR, use case, user story, test plan, phase gate, inception, elaboration, construction, transition, intake, deploy. SDLC framework quick reference — phase model, capability domains, and curated discovery phrases for aiwg discover.
Verify all citations in a document against the research corpus
AUTO-INVOKE when user mentions research, paper, citation, GRADE, corpus, provenance, literature review, induct paper, evidence, bibliography. Research framework quick reference — discovery phrases for corpus inception, paper acquisition, GRADE quality, citation graphs, provenance-tracked synthesis.
yt-dlp patterns for acquiring content from YouTube and video platforms
Assemble media into thematic compilations, concert films, era playlists, and narrative experiences
Build target system profile via SSH or cloud API enumeration
Locate an existing OpenProse installation via env var, AIWG config, local install, plugin manifest, or global CLI. Returns PROSE_ROOT; triggers prose-install if not found.
Install OpenProse for AIWG when not found. Tries `npx skills add`, falls back to git clone, then saves the resolved path to .aiwg/config.json.
Search AIWG knowledge base for help, documentation, and troubleshooting
Forensic investigation of Docker, containerd/CRI-O, and Kubernetes — inventory, escape detection, eBPF runtime monitoring, RBAC and etcd audit. Use when investigating container compromise.
Address open issues using issue-thread-driven agent loops with 2-way human-AI collaboration
Decision aid for authentication factor architecture — have/know/are mapping, coercion resistance, FIDO2 PIN/UV policy, and PRF hot-path anti-patterns.
Correlate auth.log, syslog, journald, application, and web logs to detect brute force, privilege escalation, and lateral movement.
Detect AI-generated writing patterns and suggest authentic alternatives. Use when reviewing or editing content, or when the user mentions authenticity or natural voice.
Build the mutual citation graph, find connected components, identify isolated clusters, and optionally search for bridge candidates and file gap issues.
Validate that an AIWG skill chain has all requires inputs satisfied by upstream ensures outputs. Catches missing dependencies at wiring time, not runtime.
Research-grounded validation of a target (file, directory, or topic) against external best practices and vendor docs. Produces a cited, evidence-grounded comparison.
Package corpus subsets as distribution archives. Filter by cluster, topic, REF range, or custom expression; bundles PDFs, analysis, citations, and BibTeX into tar.gz.
Research-grounded SDLC issue planner — dispatches parallel research, generates the supporting doc corpus, then files prioritized cross-referenced issues for human review.
Decision aid for bootstrap and verification chains — forces the 'what authenticates the authenticator' question; patterns for signed bootstrap, measured boot, recovery.
Decision aid for choosing AEAD, KDF, MAC, and signature primitives — flags anti-patterns (CBC-without-MAC, ad-hoc KDF, key reuse, PBKDF2-on-high-entropy).
Decision aid for supply-chain trust beyond CVE/SBOM — pinning depth, reproducible builds, snapshot pins, firmware locking, and vendor+hash-lock for critical-path deps.
Decision aid for runtime secret hygiene — fd passing, scratch surface, error-path safety, identifier hygiene, and avoiding the SECRETS_ENV aggregation anti-pattern.
Threat library for physical-access threats STRIDE and OWASP Top 10 miss — evil-maid, DMA, hostile peripheral, travel-host, coercion, cold-boot, side-channel.
Patterns for acquiring content from Internet Archive and archival sources
Analyze an artist's discography to identify eras, catalog structure, and collection plan
Build graph indices (by-topic, by-year, authors, citation-network) from corpus state using definitions in .aiwg/config.yaml. Replaces a manual 3-agent dispatch.
Generate a human-readable manifest for an AIWG skill chain — agent assignments, requires/ensures contracts, data flow, and parallelization opportunities.
Generate a corpus snapshot report — computes dimensions, topology, degree distribution, delta from previous. Helps with cluster, chain, and gap analysis sections.
Ingest a source (URL, file, or freeform note) into the knowledge base. Creates a source summary and updates or creates relevant entity and concept pages.
SBOM analysis, build pipeline forensics, and dependency verification covering package integrity, build reproducibility, and CI/CD pipeline tampering
Deploy AIWG frameworks and addons to the current workspace across supported providers
Volatility 3 memory forensics workflows covering acquisition with LiME and WinPmem, and structured analysis using Volatility 3 plugin reference
Correlate auth.log, syslog, journald, application, and web logs to detect brute force, privilege escalation, and lateral movement.
Apply Sigma rules against log sources for threat hunting; convert rules to Elasticsearch, Splunk, and grep queries
Extract, classify, deduplicate, and enrich IOCs from investigation artifacts; map to STIX 2.1 observables
Quick triage investigation following RFC 3227 volatility order
Generalized Linux incident response and forensic analysis covering Debian/Ubuntu, RHEL/CentOS/Rocky, and SUSE families
Build correlated event timeline from multiple sources
Show investigation status dashboard
Induct research sources (issue, file, directory, or URI) into a research corpus — reads, annotates, and files structured induction tasks. Like address-issues but for research.
Package research artifacts for long-term archival
Research and build a target system profile via SSH — discovers OS, services, users, network baseline, and security stack
Export media collection to platform-specific formats (Plex, Jellyfin, MPD, mobile, archival)
Format citations and generate bibliographies
Regenerate .cursorrules for Cursor with preserved team directives
Scaffold a new SKILL.md inside an existing addon or framework
Run a development-focused health check on the AIWG repository structure
Scaffold a new document template inside an existing addon or framework
Analyze project state from .aiwg/ artifacts and provide contextual status with recommended next steps
Create a new AIWG addon with AI-guided setup
Verify @file references in AIWG skills and agents against the linking contract — per-file or corpus-wide, with optional auto-fix
Orchestrates issue-driven agent loops that post cycle status to issue threads and incorporate human feedback in each cycle.
Regenerate OpenCode context file (.opencode/context.md) with AIWG framework content
Run evaluation tests against a multi-agent workflow to assess orchestration quality and failure archetype resistance
Regenerate copilot-instructions.md for GitHub Copilot with vendor-specific content only
Capture a query answer and file it as a persistent artifact in .aiwg/working/answers/ with promotion guidance to a permanent destination.
Check status of current or previous agent loop
Create a new AIWG extension (framework expansion pack) with AI-guided setup
Validate an entire AIWG addon package for completeness and release readiness
Scaffold a new command definition inside an existing addon or framework
Regenerate Codex context file (CODEX.md or ~/.codex/instructions.md) with AIWG framework content
View and manage agent loop reflections and episodic memory
Switch AIWG CLI to dev mode (local repo source), rebuild, deploy dev tools, and run a health check — all via the Steward agent
Manage the AIWG MCP server — start it, configure clients, and maintain the registered server registry
Regenerate .windsurfrules for Windsurf with preserved team directives
Validate a single AIWG component (skill, agent, or command) for completeness and correctness
Regenerate AGENTS.md for Factory AI with hook file architecture
Auto-fix discoverable issues
Abort a running agent loop and optionally revert changes
Comma-separated phase names
Regenerate WARP.md for Warp Terminal with preserved team directives
Scaffold a new behavior definition with BEHAVIOR.md and optional scripts inside an existing addon or framework
Regenerate AGENTS.md with vendor-neutral content for multi-platform support
Initialize AIWG configuration for an existing project by creating .aiwg/aiwg.config with provider and script entries
Generate an aggregate agent quality report from evaluation results, showing scores, regressions, and recommendations
Run a comprehensive health check on the AIWG installation and workspace with pass/fail diagnostics and remediation steps
Display all available AIWG CLI commands, their arguments, and usage examples
Run evaluation tests against an agent to assess quality and archetype resistance
Inject relevant past reflections into agent context at iteration start so agents learn from prior mistakes without repeating them
Orchestrates issue-driven agent loops that post cycle status to issue threads and incorporate human feedback in each cycle.
Analyze project state from .aiwg/ artifacts and provide contextual status with recommended next steps
Query and manage the unified .aiwg/activity.log chronological record of AIWG-managed workflow operations
Contextual AIWG help — explains current version features, answers how-to questions, routes live queries to the steward
Validate addon, framework, or extension structure and manifest
Orchestrate multi-agent teams across AIWG providers natively on Claude Code or emulated via Mission Control elsewhere
Analyze collection completeness against canonical discography and generate prioritized gap report
Analyze an artist's discography to identify eras, catalog structure, and collection plan
Reverse-engineer voice profiles from sample content by analyzing writing patterns
Orchestrate end-to-end media curation from analysis through acquisition, tagging, and verification
Assemble media into thematic compilations, concert films, era playlists, and narrative experiences
Discover MCP tools and generate a phased UAT plan with agent-executable test specifications
Production prompt engineering — write, iterate, and refine prompts with built-in eval loop feedback
List the frameworks and addons currently installed in the workspace registry
Enable the AIWG context hook in platform context files without re-deploying
Read a multi-service OpenProse program directory, analyze all service contracts, and generate the Forme wiring manifest for inspection and debugging
Configure and run the isolated eval loop pattern — generate, evaluate, refine until pass threshold met
Interactive LLM inference pipeline design — elicits requirements, recommends pattern, scaffolds production-ready artifacts
Reorganize and update .aiwg/ documentation to reflect current project reality
Generate a cost and token-spending report for the current or most recent workflow session
Manage the user-level AIWG configuration file for persistent preferences across all projects
Validate documentation for unsupported claims, made-up metrics, and unverifiable statements
Migrate existing CLAUDE.md full-injection to the AIWG.md hook file architecture
Manage AIWG behavior bundles that bind reactive directives and toolset configurations to specific agent types
Browse the AIWG model catalog — list available AI models, fetch model details, and search by capability or name
Synthesize audience data from multiple sources into unified personas, segments, and targeting strategies
Project directory path (default current directory)
Project directory path (default current directory)
Validate brand compliance across visual, verbal, and legal dimensions with actionable reports
Orchestrate marketing data collection, transformation, aggregation, and reporting workflows across platforms
Validate manually-created campaign intake forms and kick off Strategy phase with agent assignments
Scan existing campaign materials, media kit, or marketing assets and generate intake documents by analyzing content, brand elements, and performance data
Refine brand identity through metaphor testing, competitive research, and owner-grounded verification tied to repository reality
Generate or complete marketing intake forms (campaign-intake, brand-profile, option-matrix) with interactive questioning and optional guidance
Aggregate multi-reviewer feedback into consolidated, prioritized, and actionable recommendations
Run multi-stage quality assurance on marketing assets with channel-specific validation and approval-ready reports
Project directory path (default current directory)
Format citations and generate bibliographies
Search for research papers across academic databases
Search and navigate SDLC artifacts by topic, type, phase, or tag using the aiwg index CLI
Query provenance chains and artifact relationships
Verify citations against the research corpus to prevent hallucinated references and enforce GRADE compliance
Verify the full refinement chain from use cases through behavioral specs, pseudo-code specs, code, and tests — report coverage at each layer and identify gaps
Search AIWG knowledge base for help, documentation, and troubleshooting
Manage architecture changes with impact analysis, ADR generation, migration planning, and breaking change tracking
Facilitate data-driven technical decisions using weighted decision matrices, trade-off analysis, and ADR generation
CI-friendly complexity enforcement gate returning pass/fail results for pipeline integration
Compare current behavior against baseline to detect regressions
Create a Product Requirements Document (PRD) for a product feature
Orchestrate compliance validation workflow with requirements mapping, audit evidence collection, gap analysis, remediation tracking, and attestation
Crawl repository for scattered docs and consolidate into categorized reference index in .aiwg/docs/
Generate comprehensive test suite for $ARGUMENTS following project testing conventions and best practices.
Identify the commit that introduced a regression using git bisect with automated test execution and blame context
Report on research corpus health, completeness, and integrity
Orchestrate Delivery Track flow with test-driven development, quality gates, and iteration assessment
Orchestrate autonomous issue-to-code implementation using existing tools and agents with bounded iteration
Orchestrate Discovery Track flow to prepare validated requirements and designs one iteration ahead of delivery
Orchestrate SDLC phase gate validation with multi-agent review and comprehensive reporting
Orchestrate continuous performance optimization with baseline establishment, bottleneck identification, optimization implementation, load testing, and SLO validation
Track and analyze regression statistics, trends, hotspots, and health indicators across test suites
Orchestrate living requirements refinement, change control, impact analysis, and traceability maintenance throughout SDLC
Orchestrate production incident triage, escalation, resolution, and post-incident review using ITIL best practices
Generate behavioral specifications (Layer 3) from use cases and architecture documents using multi-agent orchestration
Detect issue references in commits and artifacts and automatically update or close linked tracker issues
Orchestrate production deployment with strategy selection, validation, automated rollback, and regression gates
Orchestrate continuous risk identification, assessment, tracking, and retirement across SDLC phases
Generate forensic investigation report
Automatically detect and update linked issues based on commits, artifacts, and task events
Generate provenance coverage dashboard and statistics
Create a W3C PROV-compliant provenance record for an artifact
Query provenance chains to trace artifact derivation and impact
Create and maintain regression test baselines for comparison and drift detection across versioned snapshots
Generate properly formatted citation from research corpus
Detect breaking changes in API contracts across REST, GraphQL, and gRPC interfaces with semver enforcement
One-command TDD infrastructure setup with pre-commit hooks and CI coverage gates
Trigger Tree of Thoughts exploration when agents face architectural decisions with multiple valid approaches
Verify bidirectional traceability from requirements to code to tests and identify coverage gaps and orphan artifacts
Orchestrate change control workflow with baseline management, impact assessment, CCB review, and communication
Create, update, list, or run scheduled remote agents (triggers) that execute on a cron schedule
Synchronize documentation and code to eliminate drift with parallel audit and auto-fix
Show cost trends across multiple workflow sessions, surfacing expensive operations, spending patterns, and outliers
Prepare source content for RLM processing by discovering files, chunking each one, and writing a unified searchable manifest
Append a structured event to a consumer's semantic memory log
Show status overview of all LLM inference pipelines in the current project
Execute an OpenProse program within the current AIWG session, following the two-phase model (Forme wiring + Prose VM execution)
Recommends the right LLM pipeline pattern for a use case — simple chain, embedded agent, state machine, RAG, eval loop, or dynamic prompt
Health-check any consumer's semantic memory by composing structural and domain-specific checks
Production readiness review — strip prototype scaffolding, harden code, validate cost model, generate prod/ artifacts
Project directory path (default current directory)
Project directory path (default current directory)
Generate corpus-wide GRADE quality distribution report
Trigger GRADE quality assessment automatically when new research sources or findings enter the corpus
Build correlated event timeline from multiple sources
Orchestrate handoff validation between SDLC phases and tracks (Discovery→Delivery, Delivery→Ops, phase transitions)
Orchestrate hypercare monitoring period with 24/7 support, SLO tracking, and rapid issue response
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Orchestrate multi-agent artifact generation using the Primary Author, Parallel Reviewers, Synthesizer, Archive pattern
Update existing project WARP.md with latest AIWG orchestration guidance
Clean up .aiwg/working/ by promoting, archiving, or deleting temporary files
Generate a SOUL.md from an existing AIWG voice profile
Display the current AIWG version, release channel, and installation path
Remove a previously installed Claude Code plugin and unregister it from the local plugin registry
Generate an AIWG voice profile from an existing SOUL.md identity file
Disable soul enforcement without deleting SOUL.md or soul files
Display a comprehensive runtime environment report covering detected provider, available tools, AIWG version, and installed frameworks
Remove a deployed framework or addon from the current workspace
List installed Claude Code plugins with version, install date, and enabled status
Analyze and summarize a transcript, meeting notes, or discussion thread into a clear actionable document
Update AIWG to the latest stable version and re-deploy all installed frameworks from the registry
Audit codebase for dead code, unused exports, orphaned files, and stale manifests
Validate AIWG configuration files and project setup for correctness and completeness
Analyze token usage efficiency against the MetaGPT baseline and surface per-step optimization opportunities
Batch package every plugin in the workspace in a single release-prep operation
Manage remotely installed AIWG packages sourced from Git repositories via list, info, and remove subcommands
Launch multiple agents concurrently, collect their results, and handle timeouts for fan-out orchestration patterns
Disable the AIWG context hook without uninstalling AIWG or deleting hook files
Execute a named script defined in .aiwg/aiwg.config or list all available scripts
Restore the .aiwg/ directory from a migrate-workspace backup, listing available backups when none is specified
Create a complete addon package structure inside agentic/code/addons/
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions
Manage the AIWG skills registry by listing, searching, inspecting, installing, and publishing skills
Apply a SOUL.md identity to content generation, incorporating worldview, opinions, and character
Capture, list, show, or replay point-in-time workflow snapshots so execution state can be preserved and reproduced
Show SOUL.md enforcement state across all installed providers with quality check
Apply metadata tags, embed artwork, and organize media files with consistent naming
Load, validate, and populate templates consistently across frameworks
Migrate the .aiwg/ directory from single-framework layout to the multi-framework layout with an automatic backup
Create a new extension package inside an existing framework's extensions/ directory
Split a file into overlapping chunks suitable for parallel fanout processing and emit a manifest describing each chunk
Capture query synthesis as durable pages in semantic memory
Bundle a single plugin into a distributable marketplace archive, validating metadata and optionally publishing
Analyze codebase and inject @-mentions for traceability
Manage the AIWG ops ecosystem of sysops, devops, and itops workspaces and frameworks
Run a workflow multiple times and compare outputs to produce a similarity score and pass/fail verdict
Create a complete framework package structure inside agentic/code/frameworks/
Detect project type, AIWG framework state, team configuration, and active work to summarize status and recommend next actions
Transform standard technical content into ROKO voice — dense technical mythology wrapped in cypherpunk cultural narrative
Route natural language requests to appropriate skills and workflows by parsing intent and matching trigger patterns
Project directory path (default current directory)
Enable soul enforcement by wiring SOUL.md into platform context files and deploying the enforcement rule
Orchestrate dual-track iteration with synchronized Discovery (next) and Delivery (current) workflows
Check a file for citation quality and GRADE compliance
Install AIWG-compatible packages from remote Git repositories into the current workspace
Crawl repository for scattered docs and consolidate into categorized reference index in .aiwg/docs/
Analyze LLM pipeline costs and generate concrete optimization recommendations with savings estimates
Initialize an AIWG contribution workflow by creating a feature branch, configuring DCO, and linking a tracking issue
Create a well-formatted git commit and push to remote repository
Package research artifacts for long-term archival
Quick triage investigation following RFC 3227 volatility order
Project directory path (default current directory)
Generate executive-ready marketing performance summaries with insights, trends, and prioritized recommendations
Generate summaries and literature notes from research papers
Orchestrate Concept→Inception phase transition with intake validation and vision alignment
Project directory path (default current directory)
Improve regression detection over time through cross-task pattern recognition, test prioritization, and historical analysis
Initialize AIWG daemon mode configuration from a named profile for persistent background sessions
Integrate regression testing into CI/CD pipelines with baseline comparison and merge blocking on failure
Detect performance regressions by comparing benchmarks across versions with latency, throughput, and statistical significance analysis
Analyze overall project health and metrics
Automatically manage regression test baseline lifecycle triggered by releases, deployments, and quality gates
Detect visual and UI regressions through screenshot comparison and pixel-diff analysis across browsers and viewports
Generate comprehensive regression analysis reports combining bisect, baseline, and metrics data with actionable recommendations
Analyze team retrospectives for insights
Continuously identify, assess, track, and retire risks throughout the SDLC with register and RAG reporting
Generate SDLC reports including iteration status, metrics dashboards, and executive summaries across phases
Perform comprehensive security assessment
Ensure the session's AIWG installation is current and correctly deployed to the active provider
Pull the latest upstream AIWG updates into the user's fork and rebuild — preserves user customizations
Generate or update the agentic environment definition for AgentSmith, SkillSmith, and CommandSmith
Generate MCP environment definition for MCPSmith with Docker and Node.js verification
Generate system definition file for ToolSmith with tested OS commands
Evaluate architectural decisions using Tree of Thoughts exploration
Manage artifact metadata, versioning, ownership, and review history across the SDLC lifecycle
Route structured artifact work to AIWG workflows via MCP with zero parent context cost
Contribute a user's AIWG customization back upstream as a PR — reviews for general applicability, creates branch, opens PR
Set up personal AIWG customization mode from a local clone or fork — makes your clone the live global AIWG instance so edits go live immediately
Create, list, or recover mid-workflow checkpoints so interrupted work resumes from a known-good position
Decision-aid skill for fail-closed vs fail-open behavior. Forces a degraded-mode matrix and rejects "type Y to override" prompts in favor of multi-step ceremonies
Set or report the reproducibility mode governing how AIWG workflows execute, from standard to fully auditable
Show AIWG hook state across all installed providers
Build or rebuild the SDLC artifact index for agent-navigable discovery
Project directory path (default current directory)
Generate troubleshooting documentation
Capture a query answer and file it as a persistent artifact in .aiwg/working/answers/ with promotion guidance to a permanent destination.
Execute a UAT plan against live MCP connections, tracking pass/fail per test and filing issues on failure
Generate UAT completion report with tool coverage matrix, pass/fail metrics, and regression detection
Combine multiple voice profiles with weighted mixing to create hybrid voices
Generate custom voice profiles from natural language descriptions by mapping tone, formality, and domain to voice dimensions
Extract and enrich indicators of compromise
Show investigation status dashboard
Ingest a source (URL, file, or freeform note) into the knowledge base. Creates a source summary and updates or creates relevant entity and concept pages.
Verify archive integrity with self-verifying SHA-256 checksums, generate VERIFY.md, and optionally create W3C PROV provenance
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Project directory path (default current directory)
Analyze gaps in research coverage
Show research corpus health and statistics
Setup Warp Terminal with AIWG framework context (preserves existing content)
Generate W3C PROV-compliant provenance records automatically when agents create or modify artifacts
Audit codebase for dead code, unused exports, orphaned files, and stale manifests
Map source file structure into navigable sections with line ranges and summaries for efficient agent navigation
Scan source code and report agent-readiness metrics with actionable recommendations
Conduct comprehensive PR review from multiple perspectives (PM, Developer, QA, Security)
Build target system profile via SSH or cloud API enumeration
Lint and health-check the knowledge base. Finds orphan pages, missing cross-references, stale claims, broken wiki-links, and regenerates the index.
Threat hunt using Sigma rules against log sources
Document missing content in media archives with standardized GAP-NOTE markers that guide acquisition and measure completeness
Export media collection to platform-specific formats (Plex, Jellyfin, MPD, mobile, archival)
Project directory path (default current directory)
Show current AIWG customization status — mode, source path, what you've customized vs upstream
Gather and analyze competitive intelligence across channels to surface positioning shifts and market opportunities
Enable interactive question mode
Assess source quality using GRADE methodology
Perform GRADE quality assessment on a research source
Orchestrate cross-team synchronization with dependency mapping, sync cadence, blocker escalation, integration planning, and cross-team demos
Analyze large source files and produce decomposition plans, optionally executing refactoring with import updates and test verification
Orchestrate Elaboration→Construction phase transition with iteration planning, team scaling, and full-scale development kickoff
Orchestrate continuous security validation, threat modeling, vulnerability management, and security gate enforcement across SDLC phases
Orchestrate Team Onboarding flow with pre-boarding, training, buddy assignment, and 30/60/90 day check-ins
Classify incidents by severity, assemble response teams, and coordinate initial response actions and comms
Mark an issue as complete with comprehensive summary and verification
Add structured comments to issues using templates for progress, feedback, or blockers
Simulate project outcomes with variable modeling, risk assessment, and resource optimization scenarios.
Install plugins into Claude Code from the AIWG marketplace with registry lookup, download, and local deployment
Validate provenance records and chains for completeness and consistency
Create, manage, and validate Python virtual environments. Use for project isolation and dependency management.
Execute JavaScript/TypeScript tests with Vitest, supporting coverage, watch mode, and parallel execution. Use for JS/TS test automation.
Review GitHub pull requests for code quality, security, and best practices. Use for automated PR feedback and approval workflows.
Extract, classify, deduplicate, and enrich IOCs from investigation artifacts; map to STIX 2.1 observables
Research and build a target system profile via SSH — discovers OS, services, users, network baseline, and security stack
Generalized Linux incident response and forensic analysis covering Debian/Ubuntu, RHEL/CentOS/Rocky, and SUSE families
Volatility 3 memory forensics workflows covering acquisition with LiME and WinPmem, and structured analysis using Volatility 3 plugin reference
SBOM analysis, build pipeline forensics, and dependency verification covering package integrity, build reproducibility, and CI/CD pipeline tampering
Apply Sigma rules against log sources for threat hunting; convert rules to Elasticsearch, Splunk, and grep queries
Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test automation.
Run ESLint for JavaScript/TypeScript code quality and style enforcement. Use for static analysis and auto-fixing.
SHA-256 checksum manifest generation, self-verification, and PREMIS fixity patterns
Patterns for acquiring content from Internet Archive and archival sources
Capture a query answer and file it as a persistent artifact in .aiwg/working/answers/ with promotion guidance to a permanent destination.
W3C PROV-O patterns for tracking media derivation chains and production history
AWS, Azure, and GCP forensic investigation covering audit logs, IAM review, storage access, network flows, and compute instance forensics
Patterns for finding, processing, and embedding cover artwork into media files
Interactive tuning of Verbalized Sampling diversity parameters with preset management and A/B comparison
opustags and ffmpeg patterns for applying metadata to audio and video files
Run mutation testing to validate test quality beyond code coverage. Use when assessing test effectiveness, finding weak tests, or validating test suite quality.
Detect orphaned tests, obsolete assertions, and test-code misalignment. Use for test suite maintenance, cleanup, and traceability validation.
Detect requests for UAT generation, execution, or reporting and invoke the appropriate UAT command
Search the local research corpus, read matching findings, and synthesize an answer with inline citations to REF-XXX sources. The "query" operation for the research pipeline.
Run the research corpus lint ruleset to detect structural and referential integrity issues — orphan notes, missing frontmatter, broken references, missing GRADE assessments.
ffmpeg patterns for extracting audio from video files and transcoding between formats
Analyze GitHub repositories for structure, documentation, dependencies, and contribution patterns. Use for codebase understanding and health assessment.
Chain of custody and evidence preservation procedures covering log collection, hash verification, custody documentation, and evidence packaging per RFC 3227
Enable agent loops to learn from similar past tasks and share patterns across loops
Show daemon health, active sessions, task queue, and subsystem status
Package skills into uploadable ZIP files for Claude. Use after skill-builder/skill-enhancer to create final upload package.
Execute tests on generated code and iterate until passing
Initialize AIWG configuration for an existing project by creating .aiwg/aiwg.config with provider and script entries
Manage the AIWG MCP server — start it, configure clients, and maintain the registered server registry
Automatically execute tests when code-generating agents modify source files, enforcing the execute-before-return pattern
Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.
Split large documentation (10K+ pages) into focused sub-skills with intelligent routing. Use for massive doc sites like Godot, AWS, or MSDN.
Merge multiple documentation sources (docs, GitHub, PDF) with conflict detection. Use when combining docs + code for complete skill coverage.
Submit a bug report, feature request, or feedback to the AIWG GitHub repository — prefills system context automatically
Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.
Detect and use llms.txt files for LLM-optimized documentation. Use when checking if a site has LLM-ready docs before scraping.
Generate a human-readable Markdown view from a consumer's JSON Lines event log
Suggest and apply fixes for flaky tests based on detected patterns. Use after flaky-detect identifies unreliable tests that need repair.
Extract text, tables, and images from PDF files. Use when converting PDF documentation, manuals, or reports to searchable text.
Query and manage the executable feedback debug memory
Validate a `setup.aiwg.io/v1` SetupManifest file against the schema and run cons
Show analytics and metrics from agent loop execution history
AI-powered enhancement of skill SKILL.md files. Use to transform basic templates into comprehensive, high-quality skill documentation.
Read and parse an OpenProse program file, extracting its contract (requires, ensures, strategies, errors, invariants) and services into a structured representation
Clone or update the OpenProse repository to ensure AIWG prose tools hook into the latest version of the specification and examples
Validate an OpenProse program file against Prose contract grammar without executing it — checks frontmatter, contract structure, service references, and strategy syntax
Validate skill quality, completeness, and adherence to standards. Use before packaging to ensure skill meets quality requirements.
Attach to a running agent loop's live output stream
Start an agentic session with pre-flight health checks, auto-repair, optional MCP injection, and provider launch
Generate a `setup.manifest.yaml` file for a project using the `setup.aiwg.io/v1`
Execute a `setup.aiwg.io/v1` SetupManifest, performing cross-platform installati
Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages.