agentic/code/addons/aiwg-utils/skills/aiwg-language-map/SKILL.md
AIWG addons + extensions language map — categories, curated discover phrases, and per-bundle pointers covering everything beyond the framework quickrefs
npx skillsauth add jmagly/aiwg aiwg-language-mapInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This is your always-loaded directory for the AIWG addon and extension surface. It's the orientation layer for the ~270 skills that live outside the 8 frameworks. Frameworks have their own per-framework quickrefs (sdlc-quickref, forensics-quickref, etc.); this map covers everything else: addons (utilities, loops, voice, testing, etc.) and ops extensions (sys/net/sec/dev/it/stream).
aiwg discover "<phrase>" and surface the top match (or top-3) to the useraiwg show skill <name> — never find / ls / Read on storage pathsIf a phrase doesn't fit the user's exact need, paraphrase. aiwg discover is forgiving with natural language.
The discover→show pattern is mandatory. See aiwg-utils-quickref for the canonical pipeline and skill-discovery HIGH rule for enforcement.
The map has two sections:
ops-completeEach section opens with an explicit aiwg discover "<phrase>" example. Table rows underneath show bare phrases — pass them straight to aiwg discover (the verb is implied by the section header). Phrases have been verified against the index; each surfaces the listed bundle in the top results.
When the user needs an iterative coding loop, recursive context decomposition, eval gates, or guided autonomous implementation.
Example: aiwg discover "ralph loop". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Iterative AI coding loop (Ralph) | ralph loop | agent-loop |
| Loop status / abort / resume / attach | ralph attach (or ralph abort / ralph resume / ralph status) | agent-loop |
| External crash-resilient loop variant | ralph external loop | agent-loop |
| Recursive decomposition of a huge corpus | rlm query | rlm |
| RLM batch processing with parallel sub-agents | rlm batch fan-out | rlm |
| Bounded autonomous issue-to-code | guided implementation | guided-implementation |
| Inner generator/critic eval loop in a pipeline | eval loop | nlp-prod |
| KAMI-based agent quality eval framework | agent quality eval | aiwg-evals |
When the user needs persistent agent memory, semantic ingestion, or context curation.
Example: aiwg discover "memory ingest". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Semantic memory ingest | memory ingest | semantic-memory |
| Lint memory entries | semantic memory lint | semantic-memory |
| Capture / query memory | memory query | semantic-memory |
| Filter context to remove distractors | filter distractors from context | context-curator |
Bundles
auto-memoryandllm-wikiship as templates / topology only — they have no indexable skills today. For project-local memory bootstrapping, useaiwg-utils(auto memory templateslives there). Thellm-wikitopology is consumed by the knowledge-base framework — seeknowledge-base-quickref.
When the user is producing or reviewing prose and needs voice consistency, AI-pattern detection, or related text quality work.
Example: aiwg discover "apply voice profile". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Apply a voice profile to existing content | apply voice profile | voice-framework |
| Create a new voice profile | create voice profile | voice-framework |
| Blend two voices | blend voice profiles | voice-framework |
| Analyze content's current voice | analyze voice | voice-framework |
| Detect AI-pattern artifacts in writing | ai pattern detection | writing-quality |
| Improve output diversity (verbalized sampling) | verbalized sampling | verbalized-sampling |
When the user is building or optimizing LLM inference systems.
Example: aiwg discover "pipeline architect". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| LLM inference pipeline architecture | pipeline architect | nlp-prod |
| Pipeline pattern selection | pipeline pattern | nlp-prod |
| Cost optimizer for LLM workloads | llm cost optimizer | nlp-prod |
| Eval-loop generator/critic | eval loop | nlp-prod |
| Productionize an inference pipeline | pipeline productionize | nlp-prod |
| Prompt engineering | prompt engineer | nlp-prod |
When the user is scraping, extracting, or analyzing documentation as a corpus.
Example: aiwg discover "doc analyst". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Coordinate doc analysis (master orchestrator) | doc analyst | doc-intelligence |
| Scrape documentation sites | doc scraper | doc-intelligence |
| Extract from PDFs | pdf extractor | doc-intelligence |
| Run an OpenProse program | prose run | prose-integration |
| Validate / parse a Prose program | prose validate | prose-integration |
When the user needs test enforcement, UAT, or quality automation.
Example: aiwg discover "tdd enforce". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| TDD enforcement / test gates | tdd enforce | testing-quality |
| Mutation testing analyst | mutation analyst | sdlc-complete (agent) |
| Mutation test runner | mutation test | testing-quality |
| UAT plan generation via MCP | uat plan | uat-mcp |
| UAT execution via MCP | uat execute | uat-mcp |
When the user is building new AIWG content (skills, addons, framework changes).
Example: aiwg discover "skill architect". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| End-to-end skill creation orchestrator | skill architect | skill-factory |
| Build a skill | skill builder | skill-factory |
| Enhance / validate / package a skill | skill packager | skill-factory |
| Validate an AIWG addon | validate addon | aiwg-dev |
| Validate a framework component | validate component | aiwg-dev |
| AIWG devkit build helpers | devkit build | aiwg-dev |
| Link-check across docs | link check | aiwg-dev |
When the user needs color theory or palette tooling.
Example: aiwg discover "color palette". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Generate or review a color palette | color palette | color-palette |
| Color theory fundamentals reference | color theory | color-palette |
| Accessibility / contrast review | color accessibility | color-palette |
When the user needs persistent sessions or background orchestration.
Example: aiwg discover "daemon init". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Concierge daemon entry / init | daemon init | aiwg-utils |
| Concierge agent (front-of-house) | concierge daemon | daemon |
| Mission Control (background mission orchestrator) | mc dispatch | agent-loop |
| Star-prompt for repo recommendations | star prompt | star-prompt |
When the user is bootstrapping a project or installing AIWG itself.
Example: aiwg discover "setup manifest generate". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Generate a reproducible installer manifest | setup manifest generate | agentic-installer |
| Validate / run a setup manifest | setup manifest validate run | agentic-installer |
When the user needs platform-level lifecycle hooks, HITL gates, or external bridges.
Example: aiwg discover "hitl patterns". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| HITL gate patterns (rule) | hitl patterns | sdlc-complete (rule) |
| HITL gates (rule, ensemble review) | hitl gates | sdlc-complete (rule) |
| Factory AI compat agent | factory compat | sdlc-complete (agent) |
The
aiwg-hooks,agent-persistence, anddroid-bridgeaddons ship templates / rules / MCP servers without indexable skills. Their content lives in.claude/hooks/(Claude Code lifecycle hooks), in HITL rules under sdlc-complete, and as a separate MCP server respectively. Use the curated phrases above to surface the rules; the hook scripts themselves are accessible via theaiwg-hooksaddon README.
For everything else AIWG-internal — context regeneration, workspace management, index/query, validation, and project-status surfaces — see aiwg-utils-quickref. It's already loaded; this map points back at it.
Operational extensions live under agentic/code/extensions/<domain>/ and extend ops-complete. They carry both skills AND rules. The framework-level ops-quickref lists the high-level extension model; this section gives you direct phrases.
Each block opens with one explicit aiwg discover example; remaining phrases are bare — pass straight to aiwg discover.
Hardware, OS, boot chains, fleet host documentation, immutable bases, hardware safety procedures.
aiwg discover "sys host profile" # → sys-host-profiler agent (1.00)
sys host audit # → sys-host-audit skill
luks tpm dual phase # → sec-luks-dual-phase rule (sys+sec border)
sys host independence # → sys-host-independence rule
VLANs, DNS, firewalls, Cloudflare tunnels, UniFi config, network state authority, cert expiry gates, tunnel safety.
aiwg discover "vlan audit" # → net-vlan-audit (1.00)
net dns check # → net-dns-check skill
net change blast radius # → net-change-blast-radius rule
tunnel safety # → net-tunnel-safety rule
net state authority # → net-state-authority rule
PKI, LUKS, TPM2, YubiKey, SSH CA, access auditing, cert expiry gates, key material handling.
aiwg discover "sec cert scan" # → sec-cert-scan
sec access snapshot # → sec-access-snapshot
sec access audit frequency # → sec-access-audit-frequency rule
sec cert expiry gate # → sec-cert-expiry-gates rule
key material handling # → sec-key-material-handling rule
sec luks dual phase # → sec-luks-dual-phase rule
Pipeline safety, idempotent builds, secret hygiene, self-contained CI builders.
aiwg discover "pipeline safety ci" # → dev-pipeline-safety rule
idempotent build # → dev-idempotent-builds rule
ci secret hygiene # → dev-secret-hygiene rule
self contained ci builder # → dev-ci-self-contained rule
Asset registry, service deployments, disaster recovery, change control, asset authority, DR validation.
aiwg discover "it asset sync" # → it-asset-sync skill (0.81)
it asset authority # → it-asset-authority rule
it service health # → it-service-health rule
it dr validation # → it-dr-validation rule
it change control # → it-change-control rule
Transcoders, restreaming, platform integrations, stream pipeline gates.
aiwg discover "stream deploy" # → stream-deploy skill
stream pipeline gates # → stream-pipeline-gates rule
stream safety # → stream-safety rule
Reserved for external API adapter scaffolding. Currently a placeholder bundle with no skills or rules; phrases will appear as adapters are added.
When you don't know which domain a need falls into:
| If the user mentions... | Look in... | |---|---| | "loop", "iterate", "ralph", "recursive", "decompose huge file" | Loops & iteration | | "remember", "memory", "context", "wiki", "ingest" | Memory & state | | "voice", "writing style", "AI pattern", "diversity", "samples" | Voice & writing quality | | "inference", "pipeline cost", "model selection" | NLP & inference pipelines | | "documentation scrape", "extract from PDF", "Prose program" | Documentation intelligence | | "test enforcement", "TDD", "UAT", "MCP test" | Testing & quality | | "build a skill", "scaffold addon", "framework dev" | Skill / extension authoring | | "color", "palette", "contrast", "WCAG" | Color & UX | | "daemon", "background mission", "mission control" | Daemon & background work | | "installer", "setup manifest", "bootstrap" | Setup & installer | | "hooks", "permissions", "session", "droid", "HITL" | Hooks & integration | | "host", "BIOS", "boot chain", "OS install" | Extensions / sys | | "VLAN", "DNS", "firewall", "tunnel" | Extensions / net | | "cert", "LUKS", "YubiKey", "PKI", "access audit" | Extensions / sec | | "CI", "pipeline", "build", "secret in workflow" | Extensions / dev | | "CMDB", "asset", "DR", "service deploy", "change control" | Extensions / it | | "transcoder", "restream", "live broadcast" | Extensions / stream |
Addons and extensions don't all have to come from upstream. Users can pilot their own bundles per-project under .aiwg/{extensions,addons,frameworks,plugins}/<name>/, validate them, then promote to upstream when mature. Curated phrases:
aiwg new-bundle <name> # scaffold; auto-builds project graph
aiwg new-extension <name> --starter rule # extension with starter rule
aiwg new-addon <name> # addon
aiwg new-framework <name> # framework
aiwg new-plugin <name> # plugin
aiwg new-bundle <name> --dry-run # preview without writing
aiwg list --project-local # inventory + validation status
aiwg doctor --project-local # health check (counts, drift, shadows)
aiwg use <name> # deploy single project-local bundle
aiwg promote <name> # graduate to upstream (hash-verified)
aiwg promote <name> --to corpus <path> # promote to private corpus instead
aiwg promote <name> --dry-run # preview promotion
After scaffolding, the bundle is immediately discoverable via aiwg discover "<name>" — the project graph is rebuilt automatically. No manual aiwg index build --graph project step needed.
Don't enumerate from memory. Run aiwg discover with the user's natural-language phrasing — the index is forgiving. If you get zero results, try:
aiwg index stats --graph framework to confirm the index is built and populatedaiwg listaiwg index stats --graph projectIf after that the capability genuinely doesn't exist, you can tell the user honestly — but only after the search ran and came up empty. The skill-discovery HIGH rule mandates the search before declining.
aiwg-utils-quickref — core meta-utility surface and the canonical discover→show pipelinesdlc-quickref, forensics-quickref, research-quickref, media-curator-quickref, marketing-quickref, ops-quickref, security-engineering-quickref, knowledge-base-quickrefskill-discovery HIGH rule — discovery is mandatory before declining or improvisingdata-ai
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`.
data-ai
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`.
testing
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`.
data-ai
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`.