跳到正文
FunCoding

搜索

搜索文档、Skill 和 MCP

skill-improver

Trigger: improve skills, audit skills, refactor skills, skill quality. Audit and upgrade existing LLM-first skills.

代码质量与审查7.6kinternal/assets/skills/skill-improver/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/gentleman-programming/gentle-ai/skill-improver/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

Activation Contract

Use this skill when asked to audit, refactor, normalize, or improve existing SKILL.md files. Use skill-creator instead when creating a brand-new skill from a reusable pattern.

Hard Rules

  • Treat docs/skill-style-guide.md as the normative style contract when it exists.
  • For installed global skills, use references/skill-style-guide.md as the bundled local copy when docs/skill-style-guide.md is unavailable.
  • Treat SKILL.md as the source of truth; preserve author intent, critical rules, activation semantics, and output requirements.
  • Use .atl/skill-registry.md as an index of skill names, triggers, scopes, and exact paths; do not expect generated summaries.
  • Default to audit-only. Modify files only when the user explicitly asks to apply improvements.
  • Never delete meaningful content silently; move long explanation, examples, templates, or schemas into local references/ or assets/.
  • Do not invent triggers, policies, or domain rules. Mark ambiguous cases for human review.

Decision Gates

SituationAction
Missing or invalid frontmatterFix name, quoted one-line description, license, and metadata
Skill reads like tutorial docsConvert to runtime instructions and move background to references/
Body exceeds budgetPreserve rules, move examples/background to supporting files
Branching logic hidden in proseConvert to a compact decision table
Rules conflict or intent is unclearReport the issue; do not rewrite that rule automatically

Execution Steps

  1. Read docs/skill-style-guide.md; if unavailable, read references/skill-style-guide.md; if neither exists, enforce the core LLM-first structure: frontmatter, Activation Contract, Hard Rules, Decision Gates, Execution Steps, Output Contract, References.
  2. Read .atl/skill-registry.md; use listed paths to select skills. If missing, scan known skill directories for */SKILL.md.
  3. For each selected skill, audit metadata, trigger clarity, section order, body budget, actionability, decision gates, output contract, and local references.
  4. Return an audit report grouped by skill with severity and exact proposed changes.
  5. In apply mode, edit only safe issues, preserve content, create supporting files when needed, then rerun or request gentle-ai skill-registry refresh.

Output Contract

Return:

  • Skills audited and paths used.
  • Issues found, grouped by severity.
  • Files changed, if apply mode was requested.
  • Registry refresh recommendation when skill metadata or paths changed.
  • Ambiguities that need human review.

References

  • docs/skill-style-guide.md — normative LLM-first skill style guide for this repo.
  • references/skill-style-guide.md — bundled local copy for installed global skills when the repo doc is unavailable.

相似的 Skill

claude-api
anthropics/skills180k

claude-api

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).

代码质量与审查

ponytail-review
DietrichGebert/ponytail158k

ponytail-review

Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it fast enough, and is every line needed. Reads the connected code, not only the diff. Each finding is explained in plain English. Use for "review this", "code review", "review the last commit", "review my PR", "is this over-engineered", /ponytail-review.

代码质量与审查

code-review-and-quality
addyosmani/agent-skills103k

code-review-and-quality

Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch. Use when asked to review a diff or a pull request, even when the diff is pasted inline.

代码质量与审查

documentation-and-adrs
addyosmani/agent-skills103k

documentation-and-adrs

Records decisions and documentation. Use when you need to document an architecture decision (ADR) or the reasoning behind a design choice, when changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.

代码质量与审查

code-simplification
addyosmani/agent-skills103k

code-simplification

Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.

代码质量与审查

understand
Egonex-AI/Understand-Anything86k

understand

Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships

代码质量与审查