compound-docs

everyinc/compound-engineering-plugin · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/everyinc/compound-engineering-plugin --skill compound-docs
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summary

Automatically capture solved problems as searchable documentation with category-based organization and YAML validation.

  • Auto-triggers after confirmation phrases like \"that worked\" or \"it's fixed\"; documents non-trivial problems with investigation history, root cause, and prevention guidance
  • Enforces strict YAML frontmatter validation against enum-defined problem types and severity levels before file creation
  • Organizes solutions into category directories (e.g., docs/solutions/perf
skill.md

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

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

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:

  • Rails version
  • Stage (0-6 or post-implementation)
  • 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 stage were you in? (0-6 or post-implementation)

[Continue after user provides details]

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).

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-include-BriefSystem-20251110.md
  • parameter-not-saving-state-EmailProcessing-20251110.md
  • webview-crash-on-resize-Assistant-20251110.md

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>

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

Create documentation file:

PROBLEM_TYPE="[from validated YAML]"
CATEGORY="[mapped from problem_type]"
FILENAME="[generated-filename].md"
DOC_PATH="docs/solutions/${CATEGORY}/${FILENAME}"

# Create directory if needed
mkdir -p "docs/solutions/${CATEGORY}"

# 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
  • Enum validation ensures consistent categorization

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

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 stage (Stage 2 or 3)
  • 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 assets/critical-pattern-template.md to structure the pattern entry. Number it sequentially based on existing patterns in docs/solutions/patterns/critical-patterns.md.

</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., hotwire-native)
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 (Rails, Rails API, threading, 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? (hotwire-native, 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 Hotwire Native Tailwind variants solution:

  • Add to hotwire-native/references/resources.md under "Project-Specific Resources"
  • Add to hotwire-native/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: Brief System
    • Symptom: Brief generation taking >5 seconds, N+1 query when loading email threads
    • Failed attempts: Added pagination (didn't help), checked background job performance
    • Solution: Added eager loading with includes(:emails) on Brief model
    • Root cause: Missing eager loading causing separate database query per email thread
  3. Check existing: No similar issue found
  4. Generate filename: n-plus-one-brief-generation-BriefSystem-20251110.md
  5. Validate YAML:
    module: Brief System
    date: 2025-11-10
    problem_type: performance_issue
    component: rails_model
    symptoms:
      - "N+1 query when loading email threads"
      - "Brief generation taking >5 seconds"
    root_cause: missing_include
    severity: high
    tags: [n-plus-one, eager-loading, performance]
    
    ✅ Valid
  6. Create documentation:
    • docs/solutions/performance-issues/n-plus-one-brief-generation-BriefSystem-20251110.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., hotwire-native)
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
how to use compound-docs

How to use compound-docs on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add compound-docs
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/everyinc/compound-engineering-plugin --skill compound-docs

The skills CLI fetches compound-docs from GitHub repository everyinc/compound-engineering-plugin and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/compound-docs

Reload or restart Cursor to activate compound-docs. Access the skill through slash commands (e.g., /compound-docs) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.657 reviews
  • Chaitanya Patil· Dec 28, 2024

    We added compound-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kaira Menon· Dec 28, 2024

    compound-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Lucas Abbas· Dec 16, 2024

    compound-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Carlos Torres· Dec 16, 2024

    compound-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Omar Ndlovu· Dec 12, 2024

    compound-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Piyush G· Nov 19, 2024

    compound-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kiara Farah· Nov 11, 2024

    compound-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Zaid Anderson· Nov 7, 2024

    Keeps context tight: compound-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Omar Agarwal· Oct 26, 2024

    We added compound-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Alexander Kapoor· Oct 26, 2024

    Keeps context tight: compound-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.

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