compound-docs

compound-docs Skill

Purpose: Automatically document solved problems to build searchable institutional knowledge with category-based organization (enum-validated problem types).

Overview

This skill captures problem solutions immediately after confirmation, creating structured documentation that serves as a searchable knowledge base for future sessions.

Organization: Single-file architecture - each problem documented as one markdown file in its symptom category directory (e.g., docs/solutions/performance-issues/n-plus-one-briefs.md). Files use YAML frontmatter for metadata and searchability.

---

<critical_sequence name="documentation-capture" enforce_order="strict">

7-Step Process

<step number="1" required="true"> ### Step 1: Detect Confirmation

Auto-invoke after phrases:

• "that worked"
• "it's fixed"
• "working now"
• "problem solved"
• "that did it"

OR manual: /doc-fix command

Non-trivial problems only:

• Multiple investigation attempts needed
• Tricky debugging that took time
• Non-obvious solution
• Future sessions would benefit

Skip documentation for:

• Simple typos
• Obvious syntax errors
• Trivial fixes immediately corrected </step>

<step number="2" required="true" depends_on="1"> ### Step 2: Gather Context

Extract from conversation history:

Required information:

• Module name: Which module or component had the problem
• Symptom: Observable error/behavior (exact error messages)
• Investigation attempts: What didn't work and why
• Root cause: Technical explanation of actual problem
• Solution: What fixed it (code/config changes)
• Prevention: How to avoid in future

Environment details:

• Python/framework version (Django, FastAPI, etc.)
• Environment (local, staging, production)
• OS version
• File/line references

BLOCKING REQUIREMENT: If critical context is missing (module name, exact error, stage, or resolution steps), ask user and WAIT for response before proceeding to Step 3:

I need a few details to document this properly:

1. Which module had this issue? [ModuleName]
2. What was the exact error message or symptom?
3. What environment was this in? (local, staging, production)

[Continue after user provides details]

</step> <step number="3" required="false" depends_on="2"> ### Step 3: Check Existing Docs

Search docs/solutions/ for similar issues:

# Search by error message keywords
grep -r "exact error phrase" docs/solutions/

# Search by symptom category
ls docs/solutions/[category]/

IF similar issue found:

THEN present decision options:

Found similar issue: docs/solutions/[path]

What's next?
1. Create new doc with cross-reference (recommended)
2. Update existing doc (only if same root cause)
3. Other

Choose (1-3): _

WAIT for user response, then execute chosen action.

ELSE (no similar issue found):

Proceed directly to Step 4 (no user interaction needed). </step>

<step number="4" required="true" depends_on="2"> ### Step 4: Generate Filename

Format: [sanitized-symptom]-[module]-[YYYYMMDD].md

Sanitization rules:

• Lowercase
• Replace spaces with hyphens
• Remove special characters except hyphens
• Truncate to reasonable length (< 80 chars)

Examples:

• missing-prefetch-OrderProcessing-20260401.md
• parameter-not-saving-state-EmailProcessing-20260401.md
• serializer-validation-error-PaymentService-20260401.md </step>

<step number="5" required="true" depends_on="4" blocking="true"> ### Step 5: Validate YAML Schema

CRITICAL: All docs require validated YAML frontmatter with enum validation.

<validation_gate name="yaml-schema" blocking="true">

Validate against schema: Load schema.yaml and classify the problem against the enum values defined in yaml-schema.md. Ensure all required fields are present and match allowed values exactly.

BLOCK if validation fails:

❌ YAML validation failed

Errors:
- problem_type: must be one of schema enums, got "compilation_error"
- severity: must be one of [critical, high, medium, low], got "invalid"
- symptoms: must be array with 1-5 items, got string

Please provide corrected values.

GATE ENFORCEMENT: Do NOT proceed to Step 6 (Create Documentation) until YAML frontmatter passes all validation rules defined in schema.yaml.

</validation_gate> </step>

<step number="6" required="true" depends_on="5"> ### Step 6: Create Documentation

Determine category from problem_type: Use the category mapping defined in yaml-schema.md (lines 49-61).

Determine output path:

PROBLEM_TYPE="[from validated YAML]"
CATEGORY="[mapped from problem_type]"
FILENAME="[generated-filename].md"

Path rules (microservice mode):

• If the solution applies to a single service: DOC_PATH="{service}/docs/solutions/${CATEGORY}/${FILENAME}" — add service: [service-name] to the YAML frontmatter
• If the solution is cross-service or there is no service context: DOC_PATH="docs/solutions/${CATEGORY}/${FILENAME}" — add services: [service-a, service-b] to the YAML frontmatter for cross-service solutions

Create documentation file:

# Create directory if needed
mkdir -p "$(dirname ${DOC_PATH})"

# Write documentation using template from assets/resolution-template.md
# (Content populated with Step 2 context and validated YAML frontmatter)

Result:

• Single file in category directory (per-service or root)
• Enum validation ensures consistent categorization

Create documentation: Populate the structure from resolution-template.md with context gathered in Step 2 and validated YAML frontmatter from Step 5. </step>

<step number="7" required="false" depends_on="6"> ### Step 7: Cross-Reference & Critical Pattern Detection

If similar issues found in Step 3:

Update existing doc:

# Add Related Issues link to similar doc
echo "- See also: [$FILENAME]($REAL_FILE)" >> [similar-doc.md]

Update new doc: Already includes cross-reference from Step 6.

Update patterns if applicable:

If this represents a common pattern (3+ similar issues):

# Add to docs/solutions/patterns/common-solutions.md
cat >> docs/solutions/patterns/common-solutions.md << 'EOF'

## [Pattern Name]

**Common symptom:** [Description]
**Root cause:** [Technical explanation]
**Solution pattern:** [General approach]

**Examples:**
- [Link to doc 1]
- [Link to doc 2]
- [Link to doc 3]
EOF

Critical Pattern Detection (Optional Proactive Suggestion):

If this issue has automatic indicators suggesting it might be critical:

• Severity: critical in YAML
• Affects multiple modules OR foundational components (models, middleware, auth)
• Non-obvious solution

Then in the decision menu (Step 8), add a note:

💡 This might be worth adding to Required Reading (Option 2)

But NEVER auto-promote. User decides via decision menu (Option 2).

Template for critical pattern addition:

When user selects Option 2 (Add to Required Reading), use the template from critical-pattern-template.md to structure the pattern entry. Number it sequentially based on existing patterns in docs/solutions/patterns/critical-patterns.md. </step>

</critical_sequence>

---

<decision_gate name="post-documentation" wait_for_user="true">

Decision Menu After Capture

After successful documentation, present options and WAIT for user response:

✓ Solution documented

File created:
- docs/solutions/[category]/[filename].md

What's next?
1. Continue workflow (recommended)
2. Add to Required Reading - Promote to critical patterns (critical-patterns.md)
3. Link related issues - Connect to similar problems
4. Add to existing skill - Add to a learning skill (e.g., django-patterns)
5. Create new skill - Extract into new learning skill
6. View documentation - See what was captured
7. Other

Handle responses:

Option 1: Continue workflow

• Return to calling skill/workflow
• Documentation is complete

Option 2: Add to Required Reading ⭐ PRIMARY PATH FOR CRITICAL PATTERNS

User selects this when:

• System made this mistake multiple times across different modules
• Solution is non-obvious but must be followed every time
• Foundational requirement (Django ORM, async patterns, database migrations, etc.)

Action:

1. Extract pattern from the documentation
2. Format as ❌ WRONG vs ✅ CORRECT with code examples
3. Add to docs/solutions/patterns/critical-patterns.md
4. Add cross-reference back to this doc
5. Confirm: "✓ Added to Required Reading. All subagents will see this pattern before code generation."

Option 3: Link related issues

• Prompt: "Which doc to link? (provide filename or describe)"
• Search docs/solutions/ for the doc
• Add cross-reference to both docs
• Confirm: "✓ Cross-reference added"

Option 4: Add to existing skill

User selects this when the documented solution relates to an existing learning skill:

Action:

1. Prompt: "Which skill? (django-patterns, etc.)"
2. Determine which reference file to update (resources.md, patterns.md, or examples.md)
3. Add link and brief description to appropriate section
4. Confirm: "✓ Added to [skill-name] skill in [file]"

Example: For Django template context processors solution:

• Add to django-patterns/references/resources.md under "Project-Specific Resources"
• Add to django-patterns/references/examples.md with link to solution doc

Option 5: Create new skill

User selects this when the solution represents the start of a new learning domain:

Action:

1. Prompt: "What should the new skill be called? (e.g., stripe-billing, email-processing)"
2. Run python3 .claude/skills/skill-creator/scripts/init_skill.py [skill-name]
3. Create initial reference files with this solution as first example
4. Confirm: "✓ Created new [skill-name] skill with this solution as first example"

Option 6: View documentation

• Display the created documentation
• Present decision menu again

Option 7: Other

• Ask what they'd like to do

</decision_gate>

---

<integration_protocol>

Integration Points

Invoked by:

• /compound command (primary interface)
• Manual invocation in conversation after solution confirmed
• Can be triggered by detecting confirmation phrases like "that worked", "it's fixed", etc.

Invokes:

• None (terminal skill - does not delegate to other skills)

Handoff expectations: All context needed for documentation should be present in conversation history before invocation.

</integration_protocol>

---

<success_criteria>

Success Criteria

Documentation is successful when ALL of the following are true:

• ✅ YAML frontmatter validated (all required fields, correct formats)
• ✅ File created in docs/solutions/[category]/[filename].md
• ✅ Enum values match schema.yaml exactly
• ✅ Code examples included in solution section
• ✅ Cross-references added if related issues found
• ✅ User presented with decision menu and action confirmed

</success_criteria>

---

Error Handling

Missing context:

• Ask user for missing details
• Don't proceed until critical info provided

YAML validation failure:

• Show specific errors
• Present retry with corrected values
• BLOCK until valid

Similar issue ambiguity:

• Present multiple matches
• Let user choose: new doc, update existing, or link as duplicate

Module not in modules documentation:

• Warn but don't block
• Proceed with documentation
• Suggest: "Add [Module] to modules documentation if not there"

---

Execution Guidelines

MUST do:

• Validate YAML frontmatter (BLOCK if invalid per Step 5 validation gate)
• Extract exact error messages from conversation
• Include code examples in solution section
• Create directories before writing files (mkdir -p)
• Ask user and WAIT if critical context missing

MUST NOT do:

• Skip YAML validation (validation gate is blocking)
• Use vague descriptions (not searchable)
• Omit code examples or cross-references

---

Quality Guidelines

Good documentation has:

• ✅ Exact error messages (copy-paste from output)
• ✅ Specific file:line references
• ✅ Observable symptoms (what you saw, not interpretations)
• ✅ Failed attempts documented (helps avoid wrong paths)
• ✅ Technical explanation (not just "what" but "why")
• ✅ Code examples (before/after if applicable)
• ✅ Prevention guidance (how to catch early)
• ✅ Cross-references (related issues)

Avoid:

• ❌ Vague descriptions ("something was wrong")
• ❌ Missing technical details ("fixed the code")
• ❌ No context (which version? which file?)
• ❌ Just code dumps (explain why it works)
• ❌ No prevention guidance
• ❌ No cross-references

---

Example Scenario

User: "That worked! The N+1 query is fixed."

Skill activates:

1. Detect confirmation: "That worked!" triggers auto-invoke
2. Gather context:
   • Module: Order Processing
   • Symptom: Order listing taking >5 seconds, N+1 query when loading order items
   • Failed attempts: Added pagination (didn't help), checked Celery task performance
   • Solution: Added select_related('customer') and prefetch_related('items') on Order queryset
   • Root cause: Missing eager loading causing separate database query per order item
3. Check existing: No similar issue found
4. Generate filename: n-plus-one-order-listing-OrderProcessing-20260401.md
5. Validate YAML:

   module: Order Processing
   date: 2026-04-01
   problem_type: performance_issue
   component: django_queryset
   symptoms:
     - "N+1 query when loading order items"
     - "Order listing taking >5 seconds"
   root_cause: missing_prefetch
   severity: high
   tags: [n-plus-one, select-related, prefetch-related, performance]
   

   ✅ Valid
6. Create documentation:
   • docs/solutions/performance-issues/n-plus-one-order-listing-OrderProcessing-20260401.md
7. Cross-reference: None needed (no similar issues)

Output:

✓ Solution documented

File created:
- docs/solutions/performance-issues/n-plus-one-brief-generation-BriefSystem-20251110.md

What's next?
1. Continue workflow (recommended)
2. Add to Required Reading - Promote to critical patterns (critical-patterns.md)
3. Link related issues - Connect to similar problems
4. Add to existing skill - Add to a learning skill (e.g., django-patterns)
5. Create new skill - Extract into new learning skill
6. View documentation - See what was captured
7. Other

---

Future Enhancements

Not in Phase 7 scope, but potential:

• Search by date range
• Filter by severity
• Tag-based search interface
• Metrics (most common issues, resolution time)
• Export to shareable format (community knowledge sharing)
• Import community solutions