agentic/code/addons/aiwg-utils/skills/project-awareness/SKILL.md
Detect project type, AIWG framework state, team configuration, and active work to summarize status and recommend next actions
npx skillsauth add jmagly/aiwg project-awarenessInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Comprehensive project context detection and state awareness.
Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):
This skill provides rich project context awareness including:
When triggered, this skill:
Detects project type:
Identifies AIWG state:
Parses team configuration:
.aiwg/team/Loads recent activity:
Builds context object:
| Natural Language | Action | |------------------|--------| | "Where are we?" | Check phase status, recent activity | | "What's next?" | Identify pending tasks, next milestone | | "Project status" | Full status report | | "Current phase" | Phase name + completion percentage | | "Ready to transition?" | Gate criteria check | | "What's blocking us?" | Risk register + blockers | | "How long until..." | Milestone progress estimate | | "Who owns..." | Team and agent assignments |
.aiwg/planning/phase-status.md - Current phase and progress.aiwg/planning/iteration-plan.md - Current iteration tasks.aiwg/gates/ - Gate criteria and validation status.aiwg/risks/risk-register.md - Active risks and blockers.aiwg/team/agent-assignments.md - Who's working on what.aiwg/requirements/ - Requirements completion status.aiwg/architecture/ - Architecture baseline statusCLAUDE.md - Project configuration.aiwg/intake/project-intake.md - Original project scope{
"project": {
"name": "my-project",
"type": "application",
"subtype": "web-api",
"root": "/path/to/project",
"description": "From package.json or README"
},
"tech_stack": {
"languages": ["typescript", "python"],
"runtime": "node",
"framework": "express",
"package_manager": "npm",
"database": "postgresql",
"testing": "vitest",
"ci_cd": "github-actions"
},
"aiwg": {
"installed": true,
"frameworks": ["sdlc-complete"],
"addons": ["aiwg-utils", "voice-framework"],
"phase": "elaboration",
"iteration": 3,
"agents_deployed": 45,
"commands_deployed": 38
},
"team": {
"members": [
{"name": "John", "role": "tech-lead", "agent": "architecture-designer"}
],
"agent_assignments": {
"architecture-designer": "John",
"test-architect": "Jane"
}
},
"activity": {
"current_branch": "feature/user-auth",
"recent_commits": [...],
"open_prs": [...],
"modified_artifacts": [...],
"last_gate_check": "2025-12-05"
},
"artifacts": {
"total": 24,
"by_status": {
"draft": 5,
"review": 3,
"baselined": 16
},
"recent": [...]
},
"recommendations": [
"Complete SAD review (2 reviewers pending)",
"Run gate-check for Elaboration exit",
"Update risk register (7 days stale)"
]
}
Phase: [Current Phase] ([X]% complete)
Iteration: [N] of [Total]
Next Milestone: [Milestone Name] - [Date/Status]
Blockers: [Count] ([List if < 3])
## Project: [Name]
Phase: [Phase] | Iteration: [N]
Started: [Date] | Target: [Date]
### Completion
- Requirements: [X]%
- Architecture: [X]%
- Implementation: [X]%
- Testing: [X]%
### Active Work
- [Task 1] - [Owner] - [Status]
- [Task 2] - [Owner] - [Status]
### Blockers/Risks
- [Risk 1] - [Severity] - [Mitigation]
### Next Steps
1. [Action 1]
2. [Action 2]
| Indicator | Project Type | |-----------|-------------| | package.json + src/index.ts | Node.js application | | package.json + lib/ | Node.js library | | setup.py or pyproject.toml | Python package | | Cargo.toml | Rust project | | go.mod | Go module | | pom.xml | Java Maven project | | turbo.json or lerna.json | Monorepo |
| Files | Framework | |-------|-----------| | next.config.js | Next.js | | angular.json | Angular | | vite.config.ts | Vite | | django, manage.py | Django | | express in package.json | Express | | fastapi in requirements | FastAPI |
| Location | Information | |----------|-------------| | .aiwg/ | AIWG artifacts directory exists | | .aiwg/config/registry.json | Installed frameworks | | .aiwg/planning/phase-plan-.md | Current phase | | .aiwg/planning/iteration-.md | Current iteration | | .claude/agents/ | Deployed agents | | .claude/commands/ | Deployed commands |
| Artifacts Present | Likely Phase | |-------------------|--------------| | intake/ only | Concept/Inception | | requirements/ + architecture/ draft | Inception | | architecture/ baselined | Elaboration | | testing/ + deployment/ draft | Construction | | deployment/ baselined | Transition | | All baselined + production logs | Production |
| Phase | Description | Key Artifacts | |-------|-------------|---------------| | Inception | Vision, risks, feasibility | intake forms, business case | | Elaboration | Architecture baseline | SAD, ADRs, test strategy | | Construction | Feature implementation | code, tests, reviews | | Transition | Deployment, handover | runbooks, training | | Production | Operations, iteration | monitoring, incidents |
This skill may trigger these commands based on context:
| Context | Command |
|---------|---------|
| User wants full report | /project-status |
| User asks about health | /project-health-check |
| User asks about gate readiness | /flow-gate-check [phase] |
| User seems lost on next steps | Suggest relevant flow command |
Model auto-invokes project-awareness
Returns:
"Project: MyAPI (Node.js/Express API)
Phase: Elaboration (Iteration 3)
Team: 4 members assigned
Recent: SAD approved, Test Plan in review
Recommendations:
- Complete Test Plan review
- Begin Construction planning"
User: "What phase are we in?"
Skill returns:
"Current Phase: Elaboration
Milestone: Architecture Baseline (ABM)
Progress: 75% complete
Completed:
✓ Requirements baseline
✓ SAD approved
✓ 3/5 ADRs written
Remaining:
- Test Plan approval
- Risk register update
- Gate check"
User: "Who owns the architecture?"
Skill returns:
"Architecture ownership:
- Lead: John (architecture-designer)
- Reviewers: Jane (security-architect), Bob (test-architect)
Recent activity:
- SAD v1.2 updated 2 days ago
- ADR-005 created yesterday"
# Full context dump
python project_awareness.py --full
# Specific aspects
python project_awareness.py --tech-stack
python project_awareness.py --aiwg-state
python project_awareness.py --team
python project_awareness.py --activity
# JSON output
python project_awareness.py --full --json
# Recommendations only
python project_awareness.py --recommendations
This skill provides context for:
artifact-orchestration: Knows current phase for artifact selectiongate-evaluation: Knows what gate to checkparallel-dispatch: Knows which agents are relevanttemplate-engine: Knows project name, type for templatesContext is cached for performance:
Cache location: .aiwg/working/context-cache.json
.aiwg/team/.aiwg/planning/.aiwg/config/registry.json.aiwg/reports/artifact-index.jsondata-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`.