这是整个 AI 技能系统的“进化中枢”。它不仅负责优化单个 Skill，还负责跨 Skill 的经验复盘和沉淀。
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionskill-evolution-managerExecute the skills CLI command in your project's root directory to begin installation:
Fetches skill-evolution-manager from kkkkhazix/khazix-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate skill-evolution-manager. Access via /skill-evolution-manager in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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这是整个 AI 技能系统的“进化中枢”。它不仅负责优化单个 Skill，还负责跨 Skill 的经验复盘和沉淀。
evolution.json）。SKILL.md，确保持久化且不被版本更新覆盖。Trigger:
/evolve当用户触发复盘时，Agent 必须执行：
yt-dlp 或 baoyu-comic）。{
"preferences": ["用户希望下载默认静音"],
"fixes": ["Windows 下 ffmpeg 路径需转义"],
"custom_prompts": "在执行前总是先打印预估耗时"
}
Agent 调用 scripts/merge_evolution.py，将上述 JSON 增量写入目标 Skill 的 evolution.json 文件中。
python scripts/merge_evolution.py <skill_path> <json_string>Agent 调用 scripts/smart_stitch.py，将 evolution.json 的内容转化为 Markdown 并追加到 SKILL.md 末尾。
python scripts/smart_stitch.py <skill_path>当 skill-manager 更新了某个 Skill 后，Agent 应主动运行 smart_stitch.py，将之前保存的经验“重新缝合”到新版文档中。
scripts/merge_evolution.py: 增量合并工具。负责读取旧 JSON，去重合并新 List，保存。scripts/smart_stitch.py: 文档生成工具。负责读取 JSON，在 SKILL.md 末尾生成或更新 ## User-Learned Best Practices & Constraints 章节。scripts/align_all.py: 全量对齐工具。一键遍历所有 Skill 文件夹，将存在的 evolution.json 经验重新缝合回对应的 SKILL.md。常用于 skill-manager 批量更新后的经验还原。evolution.json 通道进行，这样可以保证在 Skill 升级时经验不丢失。Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: skill-evolution-manager is focused, and the summary matches what you get after install.
Useful defaults in skill-evolution-manager — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for skill-evolution-manager matched our evaluation — installs cleanly and behaves as described in the markdown.
skill-evolution-manager is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added skill-evolution-manager from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: skill-evolution-manager is focused, and the summary matches what you get after install.
We added skill-evolution-manager from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for skill-evolution-manager matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in skill-evolution-manager — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
skill-evolution-manager has been reliable in day-to-day use. Documentation quality is above average for community skills.
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