skill-evolve
- Repo stars 479
- Author updated Live
- Author repo UniClipboard
- Domain
- Data
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @UniClipboard · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: skill-evolve
description: Meta-skill for evolving other skills. Invoke after resolving a real-world issue to extract lesso…
category: data
runtime: no special runtime
---
# skill-evolve output preview
## PART A: Task fit
- Use case: Meta-skill for evolving other skills. Invoke after resolving a real-world issue to extract lessons and merge them into the referenced SKILL.md. Usage - /skill-evolve @path/to/SKILL.md.
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “When to Use / Procedure / Step 1 — Gather Context” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Meta-skill for evolving other skills. Invoke after resolving a real-world issue to extract lessons and merge them into the referenced SKILL.md. Usage - /skill-evolve @path/to/SKILL.md”.
- **02** When the source has headings, the agent prioritizes “When to Use / Procedure / Step 1 — Gather Context” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/skill-evolve`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “When to Use / Procedure / Step 1 — Gather Context”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: skill-evolve
description: Meta-skill for evolving other skills. Invoke after resolving a real-world issue to extract lesso…
category: data
source: UniClipboard/UniClipboard
---
# skill-evolve
## When to use
- Meta-skill for evolving other skills. Invoke after resolving a real-world issue to extract lessons and merge them into…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “When to Use / Procedure / Step 1 — Gather Context” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "skill-evolve" {
input -> user goal + target files + boundaries + acceptance criteria
context -> When to Use / Procedure / Step 1 — Gather Context
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, run shell commands | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Skill Evolve
Turn real-world experience into durable skill knowledge.
When to Use
User invokes this skill after completing work that revealed a gap, pitfall, or new pattern not yet captured in an existing SKILL.md. Typical trigger: /skill-evolve @path/to/SKILL.md
Procedure
Step 1 — Gather Context
- Read the referenced SKILL.md in full.
- Review the current conversation to identify:
- What went wrong or was discovered (the incident/finding)
- Root cause (why it happened)
- The fix or pattern (what the correct approach is)
- Why the existing skill didn't prevent it (the gap)
Step 2 — Classify the Learning
Determine which type of update is needed:
| Type | Description | Example |
|---|---|---|
| New Rule | A pattern/anti-pattern not covered at all | .entered() in async is forbidden |
| Rule Refinement | Existing rule needs caveats or edge cases | skip_all needed when params include trait objects |
| New Example | Correct/incorrect code pattern to illustrate existing rule | async {}.instrument(span).await for match arms |
| Checklist Addition | New review checkpoint | ".entered() held across .await? FORBIDDEN" |
| Section Expansion | Existing section needs a new subsection | Adding async lifecycle patterns to spawn section |
Step 3 — Draft the Update
Write the proposed additions following these principles:
- Match the existing style — same heading levels, table formats, code block conventions
- Place it where it belongs — near related content, not appended randomly at the end
- Lead with the rule, then the why, then the example
- Include both CORRECT and FORBIDDEN patterns when adding anti-patterns
- Keep it concise — skills are reference material, not tutorials
Step 4 — Apply and Summarize
- Edit the SKILL.md with the new content.
- Present a summary to the user:
## Skill Evolution Summary
**Skill**: <skill name>
**Trigger**: <what happened that revealed the gap>
**Update type**: <New Rule | Rule Refinement | New Example | Checklist Addition | Section Expansion>
**What was added**:
- <bullet summary of each change>
**Section(s) modified**: <list of modified section numbers/names>
Quality Gates
Before applying the update, verify:
- The new content does NOT duplicate existing rules (check the full SKILL first)
- The new content is grounded in a real incident from this conversation (not hypothetical)
- Code examples compile conceptually (correct syntax, realistic types)
- The learning is generalizable — useful beyond this one specific case
- If adding a FORBIDDEN pattern, a CORRECT alternative is shown alongside it
Anti-Patterns for This Skill
- Don't bloat: If the learning is too narrow or one-off, suggest the user add it to memory instead of a skill
- Don't rewrite: Evolve the skill incrementally. Don't restructure or rewrite existing sections unless they are wrong
- Don't speculate: Only add patterns that were validated in practice during this conversation
- Don't duplicate: If the fix was specific to one codebase and not transferable, it belongs in CLAUDE.md, not a skill
Decide Fit First
Design Intent
How To Use It
Boundaries And Review