AgentSkillsCN

skill-improver

通过分析运行工件与执行日志(events.jsonl/state.json)来改进技能与工作流程(位于runs/下,或OpenSpec变更记录中)。当您希望基于实际运行结果迭代优化技能时,可使用此方法:查找失败模式、瓶颈问题、不清晰的提示、缺失的I/O合约,并提出切实可行的修改建议。

SKILL.md
--- frontmatter
name: skill-improver
description: "Improve skills and workflows by analyzing run artifacts and execution logs (events.jsonl/state.json) under runs/ (or OpenSpec changes/). Use when you want to iterate on skills based on real runs: find failure modes, bottlenecks, unclear prompts, missing I/O contracts, and propose concrete edits."

Skill Improver

Retrospect and improve Skills/Workflows based on real execution artifacts, making the skill chain more stable with use.

Input (pass path only)

  • run_dir: runs/<workflow>/active/<run_id>/ (or openspec/changes/<change-id>/)

Output

  • improvements.md: Improvement suggestions (can be directly converted to change tasks)
  • Optional: Minimal patch to relevant SKILL.md (only change what's necessary)

Process

  1. Read logs/state.json and logs/events.jsonl, extract:
    • Failure points (error types, frequency, missing context)
    • Time bottlenecks (repetitive steps, ineffective searches, excessive context)
    • Manual confirmation points (whether too early/too late/missing)
  2. Check artifact contracts:
    • Whether each step has persisted output
    • Whether only paths are passed instead of content
    • Whether there are inconsistent naming/paths
  3. Output improvement suggestions (sorted by benefit):
    • Prompt/trigger word optimization
    • I/O contract completion (add required fields, fix artifact file names)
    • Error handling and rejection strategies
    • Suggest new deterministic scripts (only when necessary)

Output Template (recommended)

  • Overview: Core issues from this run
  • Top Issues (high → low): Each includes "symptom/root cause/fix suggestion/related skill/suggested change point"
  • Suggested Minimal Change List: Listed by file