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Project Documentation Coordinator

L2 Coordinator that gathers project context once and delegates document creation to specialized L3 workers.

Purpose & Scope

• Single context gathering — analyzes project once, builds Context Store
• Project type detection — determines hasBackend, hasDatabase, hasFrontend, hasDocker
• Delegates to 5 workers — passes Context Store to each worker
• Aggregates results — collects status from all workers, returns summary
• Solves the "context loss" problem by gathering data once and passing explicitly

Invocation (who/when)

• ln-100-documents-pipeline: Invoked as first L2 coordinator in documentation pipeline
• Never called directly by users

Inputs

From ln-100 (via Phase 0 Legacy Migration):

{
  "LEGACY_CONTENT": {
    "legacy_architecture": { "sections": [...], "diagrams": [...] },
    "legacy_requirements": { "functional": [...] },
    "legacy_principles": { "principles": [...], "anti_patterns": [...] },
    "legacy_tech_stack": { "frontend": "...", "backend": "...", "versions": {} },
    "legacy_api": { "endpoints": [...], "authentication": "..." },
    "legacy_database": { "tables": [...], "relationships": [...] },
    "legacy_runbook": { "prerequisites": [...], "install_steps": [...], "env_vars": [...] }
  }
}

LEGACY_CONTENT is passed to workers as base content. Priority: Legacy > Auto-discovery > Template defaults.

Architecture

ln-110-project-docs-coordinator (this skill)
├── Phase 1: Context Gathering (ONE TIME)
├── Phase 2: Delegate to Workers
│   ├── ln-111-root-docs-creator → 4 root docs (ALWAYS)
│   ├── ln-112-project-core-creator → 3 core docs (ALWAYS)
│   ├── ln-113-backend-docs-creator → 2 docs (if hasBackend/hasDatabase)
│   ├── ln-114-frontend-docs-creator → 1 doc (if hasFrontend)
│   └── ln-115-devops-docs-creator → 1 doc (if hasDocker)
└── Phase 3: Aggregate Results

Workflow

Phase 1: Context Gathering (ONE TIME)

1.1 Auto-Discovery (scan project files):

Source	Data Extracted	Context Store Keys
package.json	name, description, dependencies, scripts, engines, author, contributors	PROJECT_NAME, PROJECT_DESCRIPTION, DEPENDENCIES, DEV_COMMANDS, DEVOPS_CONTACTS
docker-compose.yml	services, ports, deploy.replicas, runtime:nvidia	DOCKER_SERVICES, DEPLOYMENT_SCALE, HAS_GPU
Dockerfile	runtime version	RUNTIME_VERSION
src/ structure	folders, patterns	SRC_STRUCTURE, ARCHITECTURE_PATTERN
migrations/	table definitions	SCHEMA_OVERVIEW
.env.example	environment variables	ENV_VARIABLES
tsconfig.json, .eslintrc	conventions	CODE_CONVENTIONS
README.md	project description, scaling mentions	PROJECT_DESCRIPTION (fallback), DEPLOYMENT_SCALE (fallback)
CODEOWNERS	maintainers	DEVOPS_CONTACTS
git log	frequent committers	DEVOPS_CONTACTS (fallback)

1.2 Detect Project Type:

Flag	Detection Rule
hasBackend	express/fastify/nestjs/fastapi/django in dependencies
hasDatabase	pg/mongoose/prisma/sequelize in dependencies OR postgres/mongo in docker-compose
hasFrontend	react/vue/angular/svelte in dependencies
hasDocker	Dockerfile exists OR docker-compose.yml exists

1.3 User Materials Request:

• Ask: "Do you have existing materials (requirements, designs, docs)?"
• If provided: Extract answers for Context Store

1.4 MCP Research (for detected technologies):

• Use Context7/Ref for best practices
• Store in Context Store for workers

1.5 Build Context Store:

{
  "PROJECT_NAME": "my-project",
  "PROJECT_DESCRIPTION": "...",
  "TECH_STACK": { "frontend": "React 18", "backend": "Express 4.18", "database": "PostgreSQL 15" },
  "DEPENDENCIES": [...],
  "SRC_STRUCTURE": { "controllers": [...], "services": [...] },
  "ENV_VARIABLES": ["DATABASE_URL", "JWT_SECRET"],
  "DEV_COMMANDS": { "dev": "npm run dev", "test": "npm test" },
  "DOCKER_SERVICES": ["app", "db"],
  "DEPLOYMENT_SCALE": "single",
  "DEVOPS_CONTACTS": [],
  "HAS_GPU": false,
  "flags": { "hasBackend": true, "hasDatabase": true, "hasFrontend": true, "hasDocker": true }
}

DEPLOYMENT_SCALE detection rules:

• "single" (default): No deploy.replicas, no scaling keywords in README
• "multi": deploy.replicas > 1 OR load balancer mentioned
• "auto-scaling": auto-scaling keywords in README/docker-compose
• "gpu-based": runtime: nvidia in docker-compose

DEVOPS_CONTACTS fallback chain:

1. CODEOWNERS file → extract maintainers
2. package.json author/contributors → extract names/emails
3. git log → top 3 frequent committers
4. If all empty → [TBD: Provide DevOps team contacts]

1.6 Merge Legacy Content (if provided by ln-100):

• Check if LEGACY_CONTENT was passed from ln-100 Phase 0
• If exists, merge into Context Store:

  contextStore.LEGACY_CONTENT = input.LEGACY_CONTENT
  

• Merge priority for workers:
  • LEGACY_CONTENT.legacy_architecture → used by ln-112 for architecture.md
  • LEGACY_CONTENT.legacy_requirements → used by ln-112 for requirements.md
  • LEGACY_CONTENT.legacy_tech_stack → merged with auto-discovered TECH_STACK
  • LEGACY_CONTENT.legacy_principles → used by ln-111 for principles.md
  • LEGACY_CONTENT.legacy_api → used by ln-113 for api_spec.md
  • LEGACY_CONTENT.legacy_database → used by ln-113 for database_schema.md
  • LEGACY_CONTENT.legacy_runbook → used by ln-115 for runbook.md
• If no LEGACY_CONTENT: workers use auto-discovery + template defaults

Phase 2: Delegate to Workers

2.1 Always invoke (parallel):

• ln-111-root-docs-creator with Context Store
• ln-112-project-core-creator with full Context Store

2.2 Conditionally invoke:

• ln-113-backend-docs-creator if hasBackend OR hasDatabase
• ln-114-frontend-docs-creator if hasFrontend
• ln-115-devops-docs-creator if hasDocker

Delegation Pattern:

• Pass Context Store and flags to workers via direct Skill tool invocation
• Wait for completion
• Collect result (created, skipped, tbd_count, validation)

Phase 3: Aggregate Results

1. Collect status from all workers
2. Sum totals: created files, skipped files, TBD markers
3. Report any validation warnings
4. Return aggregated summary to ln-100
5. Include Context Store for subsequent workers (ln-120 needs TECH_STACK)

Output:

{
  "workers_invoked": 5,
  "total_created": 11,
  "total_skipped": 0,
  "total_tbd": 8,
  "validation_status": "OK",
  "files": [
    "CLAUDE.md",
    "docs/README.md",
    "docs/documentation_standards.md",
    "docs/principles.md",
    "docs/project/requirements.md",
    "docs/project/architecture.md",
    "docs/project/tech_stack.md",
    "docs/project/api_spec.md",
    "docs/project/database_schema.md",
    "docs/project/design_guidelines.md",
    "docs/project/runbook.md"
  ],
  "context_store": {
    "PROJECT_NAME": "...",
    "TECH_STACK": { "frontend": "React 18", "backend": "Express 4.18", "database": "PostgreSQL 15" },
    "DEPENDENCIES": [...],
    "flags": { "hasBackend": true, "hasDatabase": true, "hasFrontend": true, "hasDocker": true }
  }
}

Critical Notes

• Context gathered ONCE — never duplicated in workers
• Context Store passed explicitly — no implicit state
• Workers self-validate — coordinator only aggregates
• Idempotent — workers skip existing files
• Parallel where possible — ln-111 and ln-112 can run in parallel

Documentation Standards (passed to workers)

• NO_CODE Rule: Documents describe contracts, not implementations
• Stack Adaptation: Links must match TECH_STACK (Context Store)
• Format Priority: Tables/ASCII > Lists > Text

Definition of Done

• Context Store built with all discovered data
• Project type flags determined
• All applicable workers invoked
• Results aggregated
• Actuality verified: all document facts match current code (paths, functions, APIs, configs exist and are accurate)
• Summary returned to ln-100

Reference Files

• Guides: references/guides/automatic_analysis_guide.md, critical_questions.md, troubleshooting.md

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Version: 2.1.0 Last Updated: 2025-01-12