# Auto Optimize Prompt

> Iteratively auto-optimize a prompt until no issues remain. Uses prompt-reviewer in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill. Runs until converged. Use when this capability is needed.

- Skill: `tomevault-io/auto-optimize-prompt` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/auto-optimize-prompt`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/auto-optimize-prompt/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/auto-optimize-prompt

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# Auto-Optimize Prompt

**User request**: $ARGUMENTS

Iteratively optimize a prompt until no issues remain.

## Goal

Loop until prompt-reviewer 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 prompt-reviewer, 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.

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> Converted and distributed by [TomeVault](https://tomevault.io/claim/doodledood) — claim your Tome and manage your conversions.
<!-- tomevault:4.0:skill_md:2026-04-11 -->