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Agent Skill Optimization & Instruction Refinement
Systematic workflow to optimize AI agent skills, tightening trigger rules, step execution, and boundary constraints.
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# Agent Skill Optimization & Instruction Refinement Protocol
Analyze the provided Agent Skill specification (`SKILL.md`) and optimize it according to the following standards:
1. **Trigger Precision:** Ensure the `description` clearly states when to use AND when NOT to use the skill.
2. **Step Sequencing:** Number each execution phase unambiguously; ensure prerequisites are explicitly stated before action steps.
3. **Tool Call Rules:** Explicitly define which tools to invoke and with what parameters.
4. **Failure Recovery & Edge Cases:** Provide fallback instructions when API calls fail or files are missing.
5. **Output Cleanliness:** Eliminate redundant greetings, boilerplate summaries, and conversational filler.
Provide the optimized `SKILL.md` content with line-by-line rationale for changes.
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