Agent Skill that automates prompt optimization — benchmarks output quality, tracks reproducibility, and handles vague requirements.
Auto-Optimize is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
npx skills add gilbertwuu/Auto-OptimizeRun the command in your terminal.
Confirm that the skill files were added to your agent workspace.
Check the README requirements before invoking the skill in your agent.
Turns vibe coding guesswork into measurable prompt optimization with reproducible results.
Agent Skill that automates prompt optimization — benchmarks output quality, tracks reproducibility, and handles vague requirements.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 103 days ago.
15 GitHub stars indicate community interest.
1 open issues signal maintenance load.
MIT license detected.
Prompt optimization
Quality benchmarking
Benchmarking requires compute resources
15
Stars
2
Forks
1
Issues
MIT
License
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Agent Skill that automates prompt optimization — benchmarks output quality, tracks reproducibility, and handles vague requirements.
AI Engineers
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Benchmarking requires compute resources
Similar or complementary options to evaluate include anthropic-skills, bug-hunter, Browser Act Skills.
May 31, 2026
1 security/trust notes recorded.
Setup difficulty is 3/5.
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