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cccskills
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skill-pruner

Reads invocation logs from eval_tracker and recommends which of the 50+ skills to prune or consolidate. Run monthly to keep the skill surface tight. Triggers: "audit skills", "prune skills", "which skills do I never use", "skill cleanup".

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  • SKILL.md1.2 KB

SKILL.md(原文)

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Skill Pruner

Keeps the skill surface tight by recommending removals based on real usage data.

When to use

  • Monthly cadence
  • Before adding a new skill (check for an existing one to extend)
  • When skill-master routing feels slow

Process

  1. Pull 30-day invocation report:
    python -c "from tools.eval_tracker import skill_usage_report; import json; print(json.dumps(skill_usage_report(days=30), indent=2))"
    
  2. Categorize skills:
    • Hot (>10 invocations) — keep
    • Warm (1–10) — keep, possibly merge with neighbors
    • Cold (0 invocations) — propose removal or consolidation
  3. For each cold skill, check git log skills/<name>/ to see if it's brand new (<14 days = give it more time)
  4. Output: ranked recommendation list with reasoning

Output format

  • Markdown table: skill | invocations | last modified | recommendation
  • One-paragraph summary

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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