Docs Update

Docs Update

Cross-Platform AI Agent Skill This skill works with any AI agent platform that supports the skills.sh standard.

Update Documentation

Synchronize documentation with the current codebase state. Can update all docs, specific files, or entire categories.

Anti-Hallucination Guidelines

CRITICAL: Documentation updates must reflect REALITY, not assumptions:

1. Explore before updating - Use Explore agent to understand actual codebase state
2. Verify every claim - Before writing any statement, verify it with code
3. Count accurately - Use find/glob for exact counts, never estimate
4. Remove stale content - Delete claims about features that no longer exist
5. Cross-reference - After updating, verify the update matches reality

Workflow

Phase 1: Deep Codebase Analysis (Explore Codebase)

Before updating ANY documentation, thoroughly explore the codebase:

Phase 2: Track Progress (Use TodoWrite)

For updating multiple documents, use TodoWrite to track progress:

Create todos for each document to update, marking them in_progress as you work
### Phase 3: Parse Arguments

1. Extract update mode from `command arguments`
2. Modes:
 - No args or `all` -> Update all relevant docs
 - `<doc-name>` -> Update specific doc (e.g., `architecture`)
 - `category:<name>` -> Update category (e.g., `category:data`)
3. Default: Update all

### Phase 4: Determine Update Scope and Analyze

**For "all" mode**: Analyze entire project, identify all relevant documentation types, update everything that exists or should exist.

**For specific doc mode**: Validate doc name, find the corresponding file, update only that document.

**For category mode**: Parse category name (`core`, `data`, `infrastructure`, `development`), identify all docs in that category, update all.

### Phase 5: Check Documentation Freshness

```bash
# For each doc, compare with related code changes
!`git log --since="$(git log -1 --format=%ai docs/architecture.md)" --oneline --name-only | head -30`
Identify which docs are outdated and prioritize updates.

### Phase 6: Parallel Updates (Use Parallel Analysis)

For multiple document updates, see [references/update-strategies.md](references/update-strategies.md) for parallel subagent patterns.

#### For Multiple Documents ("all" or "category" mode)

#### For Single Document (Section-Level Parallelization)

Even when updating ONE document, spawn subagents for each major section. See [references/update-strategies.md](references/update-strategies.md) for section-level patterns.

### Phase 7: Update Each Document

- Re-analyze relevant parts of codebase
- **Verify each claim before writing** - Read actual files
- Regenerate diagrams if needed
- Update content while preserving custom sections
- Replace placeholders with current values
- **Remove claims that cannot be verified**

### Phase 8: Post-Update Verification

After updating, verify the updates are accurate:

For each updated document:

1. Re-read the document
2. For each major claim, verify against actual code
3. If any claim cannot be verified, remove it
4. Run docs-check to validate

Phase 9: Preserve Custom Content (Important)

• Keep manually added sections
• Preserve non-template content
• Only update auto-generated parts
• If unsure, ask before overwriting

Phase 10: Report Results

• List documents updated
• List documents skipped (up to date)
• List documents created (if missing)
• Show summary of changes

Documentation Categories

Core Documentation

Files that are always relevant:

• docs/architecture.md - System architecture
• docs/onboarding.md - Developer onboarding
• docs/adr/ - Architecture Decision Records

Update when: Architecture changes, setup process changes

Data Documentation

Files relevant if database detected:

• docs/data-model.md - Database schema and ER diagrams

Update when: Schema changes, models modified

Infrastructure Documentation

Files relevant if deployment configs detected:

• docs/deployment.md - CI/CD and deployment
• docs/security.md - Security architecture

Update when: Infrastructure changes, security updates

Development Documentation

Files relevant for collaborative projects:

• docs/contributing.md - Contribution guidelines
• docs/rfc/ - RFC documents
• docs/api-documentation.md - API documentation

Update when: Process changes, API changes

Document Name Mapping

Usage Examples

Update all documentation:

docs-update
docs-update all
Update specific document:

docs-update architecture docs-update data-model docs-update onboarding docs-update deployment docs-update security Update entire category:

docs-update category:core
docs-update category:data
docs-update category:infrastructure
docs-update category:development
With context:

docs-update architecture after microservices refactor docs-update data-model after schema migration docs-update category:core for onboarding review

Template Placeholder Replacement

Replace these placeholders during update:

• {{PROJECT_NAME}} - Current project name
• {{DATE}} - Current date
• {{TECH_STACK}} - Detected technologies
• {{ER_DIAGRAM}} - Generated ER diagram
• {{ARCHITECTURE_DIAGRAM}} - Generated architecture diagram
• {{ENTITIES}} - Extracted entity descriptions
• {{COMPONENTS}} - Extracted component descriptions

Important Notes

• Preserves custom content: Does not blindly overwrite
• Smart updates: Only updates outdated sections
• Diagram regeneration: Auto-regenerates diagrams
• Git-aware: Uses git to detect what changed
• Safe: Asks before major changes
• Incremental: Can be run frequently

When to Run

• After major refactoring
• When database schema changes
• After adding new features or components
• Before onboarding new team members
• When documentation becomes stale
• As part of release process
• After infrastructure changes
• Before documentation reviews

Best Practices

• Run regularly: Keep documentation current
• Review changes: Always review auto-generated updates
• Preserve custom: Keep manual additions safe
• Commit with code: Update docs alongside code changes
• Be specific: Use specific doc names for targeted updates
• Bulk updates: Use category updates for efficiency
• Verify diagrams: Check generated diagrams for accuracy

Additional Resources

• For parallel update patterns and section-level strategies, see references/update-strategies.md
• For change detection commands, see references/change-detection.md

Claude Code Enhanced Features

This skill includes the following Claude Code-specific enhancements:

Workflow

Phase 1: Deep Codebase Analysis (Use Explore Agent)

Before updating ANY documentation, thoroughly explore the codebase:

Use Task tool with Explore agent:
- prompt: "Comprehensively analyze this codebase. Find: 1) All actual source files and their purposes, 2) Real component counts (services, models, APIs), 3) Actual directory structure with content verification, 4) Technologies actually in use (check package files). Return ONLY verified facts with file paths as evidence."
- subagent_type: "Explore"

Phase 2: Track Progress (Use TodoWrite)

For updating multiple documents, use TodoWrite to track progress:

Create todos for each document to update, marking them in_progress as you work

Phase 3: Parse Arguments

1. Extract update mode from $ARGUMENTS
2. Modes:
   • No args or all -> Update all relevant docs
   • <doc-name> -> Update specific doc (e.g., architecture)
   • category:<name> -> Update category (e.g., category:data)
3. Default: Update all

Phase 4: Determine Update Scope and Analyze

For "all" mode: Analyze entire project, identify all relevant documentation types, update everything that exists or should exist.

For specific doc mode: Validate doc name, find the corresponding file, update only that document.

For category mode: Parse category name (core, data, infrastructure, development), identify all docs in that category, update all.

Phase 5: Check Documentation Freshness

# For each doc, compare with related code changes
!`git log --since="$(git log -1 --format=%ai docs/architecture.md)" --oneline --name-only | head -30`

Identify which docs are outdated and prioritize updates.

Phase 6: Parallel Updates (Use SubAgents)

For multiple document updates, see references/update-strategies.md for parallel subagent patterns.

For Multiple Documents ("all" or "category" mode)

Use Task tool with multiple parallel agents:

Agent 1 - Architecture Update:
- prompt: "Update docs/architecture.md. Explore codebase, verify claims, remove false info, add missing components."
- subagent_type: "general-purpose"

Agent 2 - Data Model Update:
- prompt: "Update docs/data-model.md. Find actual models, verify ER diagram accuracy."
- subagent_type: "general-purpose"

Agent 3 - Onboarding Update:
- prompt: "Update docs/onboarding.md. Verify setup instructions and commands exist."
- subagent_type: "general-purpose"

For Single Document (Section-Level Parallelization)

Even when updating ONE document, spawn subagents for each major section. See references/update-strategies.md for section-level patterns.

Phase 7: Update Each Document

• Re-analyze relevant parts of codebase
• Verify each claim before writing - Read actual files
• Regenerate diagrams if needed
• Update content while preserving custom sections
• Replace placeholders with current values
• Remove claims that cannot be verified

Phase 8: Post-Update Verification

After updating, verify the updates are accurate:

For each updated document:
1. Re-read the document
2. For each major claim, verify against actual code
3. If any claim cannot be verified, remove it
4. Run /docs-check to validate

Phase 9: Preserve Custom Content (Important)

• Keep manually added sections
• Preserve non-template content
• Only update auto-generated parts
• If unsure, ask before overwriting

Phase 10: Report Results

• List documents updated
• List documents skipped (up to date)
• List documents created (if missing)
• Show summary of changes

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