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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.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/doodledood/manifest-dev --skill auto-optimize-prompt명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
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 표시 중
SOC 직업 분류 기준
| 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.