auto-optimize-prompt

Solid

Iteratively auto-optimize a prompt until no issues remain. Uses review-prompt in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill. Runs until converged.

AI & Automation 69 stars 9 forks Updated today MIT

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Quality Score: 84/100

Stars 20%
61
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
50
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Auto-Optimize Prompt **User request**: $ARGUMENTS Iteratively optimize a prompt until no issues remain. ## Goal Loop until a general-purpose agent that activates the `review-prompt` skill finds no issues: review → resolve NEEDS_USER_INPUT with user → fix via prompt-engineering → repeat. - **No path provided**: Ask which file to optimize - **Working copy**: Use `/tmp/auto-optimize-*.md` during iterations; apply to original only when converged ## Constraints | Constraint | Why | |------------|-----| | **Converge, don't cap** | No iteration limits—run until no issues | | **Atomic output** | Original unchanged until fully converged | | **DRY** | Delegate review to a general-purpose agent activating the `review-prompt` skill, fixes to prompt-engineering | | **User-in-the-loop** | NEEDS_USER_INPUT issues require user resolution (with context, options); skip if user declines | ## Output Report: file path, iterations, issues fixed (auto vs user-resolved), issues skipped, summary of changes.

Details

Author
doodledood
Repository
doodledood/manifest-dev
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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