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:
- Explore before updating - Use Explore agent to understand actual codebase state
- Verify every claim - Before writing any statement, verify it with code
- Count accurately - Use find/glob for exact counts, never estimate
- Remove stale content - Delete claims about features that no longer exist
- 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Identify which docs are outdated and prioritize updates.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:
- Re-read the document
- For each major claim, verify against actual code
- If any claim cannot be verified, remove it
- 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 architecturedocs/onboarding.md- Developer onboardingdocs/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 deploymentdocs/security.md- Security architecture
Update when: Infrastructure changes, security updates
Development Documentation
Files relevant for collaborative projects:
docs/contributing.md- Contribution guidelinesdocs/rfc/- RFC documentsdocs/api-documentation.md- API documentation
Update when: Process changes, API changes
Document Name Mapping
| Argument | File Path |
|----------------|----------------------------|
| architecture | docs/architecture.md |
| onboarding | docs/onboarding.md |
| data-model | docs/data-model.md |
| deployment | docs/deployment.md |
| security | docs/security.md |
| contributing | docs/contributing.md |
| api-docs | docs/api-documentation.md|
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
- Extract update mode from
$ARGUMENTS - Modes:
- No args or
all-> Update all relevant docs <doc-name>-> Update specific doc (e.g.,architecture)category:<name>-> Update category (e.g.,category:data)
- No args or
- Default: Update all
Phase 4: Determine Update Scope and Analyze
For "all" mode: Analyze entire project, identify all relevant documentation types, update everything that exists or should exist.
For specific doc mode: Validate doc name, find the corresponding file, update only that document.
For category mode: Parse category name (core, data, infrastructure, development), identify all docs in that category, update all.
Phase 5: Check Documentation Freshness
# For each doc, compare with related code changes
!`git log --since="$(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