Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.
Activate maximum precision mode for the current session. This command establishes execution-time discipline — not for the workflow design, but for how the agent itself operates. Every response, every code change, every claim must pass the zero-defect gate.
This is model-agnostic. It works with Claude, Gemini, GPT, Codex, or any AI agent.
Follow these for the entire session after this command is invoked:
| # | Rule | Why |
|---|---|---|
| 1 | Read before writing — Re-read the relevant code/context before every modification | Prevents edits based on stale mental models |
| 2 | Verify before claiming — Run verification before any success claim | Prevents false completion reports |
| 3 | One logical change at a time — Avoid sprawling multi-file edits that compound errors | Reduces cascading failures |
| 4 | State uncertainty explicitly — Say "I'm not sure about X" instead of guessing | Prevents confident hallucination |
| 5 | Check every import and reference — Verify that every function, variable, and module exists | Prevents "symbol not found" errors |
| 6 | Dry-run mentally before committing — Trace the code path for both happy path and edge cases | Catches logic errors before they ship |
| 7 | Never hallucinate APIs — Only use functions, methods, and parameters that exist in the codebase or documentation | Prevents non-existent API calls |
| 8 | Re-derive, don't recall — For math, logic, or complex reasoning, work it out fresh instead of from memory | Prevents confident but wrong answers |
Before claiming ANY work is complete, pass every item:
| Sloppy pattern | What to do instead |
|---|---|
| "This should work" without testing | Run the test, show the output |
| Editing code without re-reading the file first | View the file, then edit |
| Assuming a function exists because it sounds right | Grep the codebase to confirm |
| Making 5+ file changes in one shot | Break into sequential, verifiable steps |
| Saying "Done!" before verification | Run build/test, paste the result |
| Guessing at API parameters | Read the actual function signature |
| Fixing a bug by changing something nearby | Trace the actual root cause first |
| "I'm confident this is correct" | Confidence is not evidence — verify |
This command applies to every interaction for the remainder of the session. There are no exceptions. The rules apply to:
If you catch yourself about to violate a rule, stop and correct course before responding.
After the critical work is done, run /evaluate to review the output quality, or /refine for a final polish pass.
NEVER:
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Capture a session summary — what was done, what decisions were made, and what to do next.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.