When optimizing prompts
Skill yigityildiz0/universal-ai-skill-library/skills/common/when-optimizing-prompts
Prompt-debugging loop skill. Use when Codex should diagnose why an existing prompt fails and improve it step by step instead of rewriting blindly.From its SKILL.md
npx -y skills add yigityildiz0/universal-ai-skill-library --skill when-optimizing-promptsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
0.7 KB, 103 tokens by cl100k_base, as published. Nobody here has run it
When Optimizing Prompts
Use this skill when a prompt already exists and the problem is inconsistency, hallucination, brittleness, or cost.
Workflow
- Start from concrete failure cases.
- Change one lever at a time.
- Keep a test set for future comparisons.
Deliverables
- An improved prompt plus changelog.
- A compact regression test set.
Guardrails
- Do not optimize by endlessly adding instructions.
- Do not claim success without tying it to failure cases.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.