evolve-skill
Analyze feedback and evolve skills through structured improvement. The meta-skill that makes other skills better.
Best use case
evolve-skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Analyze feedback and evolve skills through structured improvement. The meta-skill that makes other skills better.
Teams using evolve-skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/evolve-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How evolve-skill Compares
| Feature / Agent | evolve-skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Analyze feedback and evolve skills through structured improvement. The meta-skill that makes other skills better.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Evolve Skill
Analyze feedback and improve skills through structured evolution. This meta-skill enables skills to learn and improve over time.
## Arguments
- `$0` - Skill name to evolve (e.g., `add-chart`)
- Or special commands:
- `--all` - Analyze all skills
- `--analyze-only {skill}` - Just show analysis, no changes
- `rollback {skill}` - Rollback to previous version
- `rollback {skill} {version}` - Rollback to specific version
- `versions {skill}` - List available versions
---
## Mode 1: Evolve a Skill
### Step 1: Gather Feedback
Read all feedback files for the target skill:
```
.claude/skills/.feedback/${$0}/*.yaml
```
Parse each feedback file and aggregate:
- Outcome distribution (success/partial/failed)
- Common strengths (patterns that appear multiple times)
- Common corrections (fixes that were needed repeatedly)
- Common suggestions (frequently requested improvements)
### Step 2: Analyze Patterns
Categorize improvements by type:
1. **Instructions** - Steps that need clarification or reordering
2. **Templates** - Code patterns that need updating
3. **Verification** - Missing checklist items
4. **Tools** - Tool permissions that should change
Look for patterns:
- If 2+ feedback entries mention the same correction → likely needed
- If 2+ feedback entries suggest the same improvement → worth considering
- If success rate < 70% → skill needs significant improvement
### Step 3: Propose Improvements
Present proposals to the user using `AskUserQuestion`:
```
Based on {N} feedback entries for '{skill-name}':
- Success rate: {X}%
- Common corrections: {list}
- Common suggestions: {list}
Proposed improvements:
1. {Improvement 1} - rationale from feedback
2. {Improvement 2} - rationale from feedback
...
Which improvements should we apply?
```
Options should include:
- Apply all proposed improvements
- Select specific improvements
- Skip (just update metadata)
### Step 4: Apply Changes (with approval)
For each approved improvement:
1. **Save current version to .versions/**
```
cp SKILL.md .versions/{current-version}.md
```
2. **Edit SKILL.md** with the improvement
- Be precise with edits
- Maintain skill structure and formatting
- Add new sections if needed
3. **Update metadata:**
```yaml
version: {new-version} # Bump appropriately
last-evolved: {today's date}
evolution-count: {previous + 1}
```
4. **Update CHANGELOG.md:**
```markdown
## [{new-version}] - {date}
### Changed
- {Description of change 1}
- {Description of change 2}
### Feedback-driven
Based on {N} feedback entries. Key patterns addressed:
- {Pattern 1}
- {Pattern 2}
```
### Step 5: Commit Changes
Create a git commit with:
```bash
git add .claude/skills/${$0}/
git commit -m "evolve(${$0}): {brief description}
Based on {N} feedback entries:
- {Key improvement 1}
- {Key improvement 2}
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>"
```
### Step 6: Report
Tell the user:
- Changes applied
- New version number
- Suggest testing the skill with `/skill-name` to verify
---
## Mode 2: Rollback
### `rollback {skill}` - Previous Version
1. Read current version from SKILL.md frontmatter
2. Find previous version in `.versions/`
3. Copy previous version to SKILL.md
4. Update metadata (decrement evolution-count)
5. Add CHANGELOG entry noting rollback
6. Commit with message: `revert(${skill}): rollback to {version}`
### `rollback {skill} {version}` - Specific Version
1. Verify version exists in `.versions/{version}.md`
2. Copy that version to SKILL.md
3. Update metadata appropriately
4. Add CHANGELOG entry
5. Commit
---
## Mode 3: List Versions
### `versions {skill}`
1. List all files in `.versions/` directory
2. Show version, date (from filename or metadata), and brief description
3. Indicate current version
Output format:
```
Versions for '{skill}':
1.0.0 - 2026-02-02 - Initial release
1.1.0 - 2026-02-15 - Added ErrorBoundary pattern (current)
```
---
## Mode 4: Analyze All
### `--all`
1. Scan all skill directories
2. For each skill with feedback:
- Calculate success rate
- Count pending feedback entries
- Identify skills most in need of evolution
Output format:
```
Skill Evolution Status:
add-chart - 5 feedback entries, 60% success, needs evolution
add-api-route - 2 feedback entries, 100% success, healthy
add-dashboard - 0 feedback entries, no data
...
```
Recommend which skills to evolve first.
---
## Version Numbering
Use semantic versioning:
- **Patch (1.0.x)** - Small fixes, clarifications
- Typo fixes
- Minor wording improvements
- Adding missing details
- **Minor (1.x.0)** - New content, significant improvements
- New sections added
- Template code updated
- Verification steps added
- **Major (x.0.0)** - Breaking changes (rare for skills)
- Complete restructure
- Argument changes
- Fundamental approach change
---
## Feedback Analysis Patterns
### Detecting Instruction Issues
```yaml
# If corrections mention "order" or "sequence"
corrections:
- "Had to reorder the steps"
- "Step 3 should come before Step 2"
→ Instruction ordering issue
```
### Detecting Template Issues
```yaml
# If corrections mention specific code
corrections:
- "Fixed import order"
- "Added missing ErrorBoundary"
→ Template needs updating
```
### Detecting Missing Guidance
```yaml
# If suggestions mention "add" or "include"
suggestions:
- "Add section about error handling"
- "Include z-index best practices"
→ Missing documentation
```
---
## Verification Checklist
After evolution:
1. [ ] Previous version saved to `.versions/`
2. [ ] SKILL.md updated with improvements
3. [ ] Version bumped appropriately
4. [ ] `last-evolved` date updated
5. [ ] `evolution-count` incremented
6. [ ] CHANGELOG.md entry added
7. [ ] Git commit created
8. [ ] User notified of changes
After rollback:
1. [ ] Correct version restored
2. [ ] Metadata updated
3. [ ] CHANGELOG notes rollback
4. [ ] Git commit createdRelated Skills
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