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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.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/doodledood/manifest-dev --skill auto-optimize-promptコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Manifest builder. Turns shared understanding into a verifiable Manifest with Deliverables, Acceptance Criteria, Global Invariants, and an Initial Approach. Use when planning features, scoping refactors, debugging complex issues, or when the user asks to define, scope, plan, spec out, make a manifest, or break down a task.
Manifest executor. Works through Deliverables verifying every Acceptance Criterion and Global Invariant. Use when executing a manifest, running a plan, implementing a defined task, or when the user asks to run, execute, implement, or ship a manifest-backed plan.
Review a change along one specific quality dimension — bugs, design, simplicity, maintainability, testability, test quality, type safety, contracts, operational readiness, docs, prose value, change intent, or CLAUDE.md adherence. Loads exactly one dimension reference and audits the diff against it, returning a structured PASS/FAIL report with severities. Use when verifying a change before merge, auditing a diff for a named concern, or running a manifest acceptance gate.
SKILL.md を表示中
SOC 職業分類に基づく
| name | auto-optimize-prompt |
| description | 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. |
| metadata | {"internal":true} |
User request: $ARGUMENTS
Iteratively optimize a prompt until no issues remain.
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.
/tmp/auto-optimize-*.md during iterations; apply to original only when converged| 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 |
Report: file path, iterations, issues fixed (auto vs user-resolved), issues skipped, summary of changes.