Turn a successful workflow from the current session into a reusable OMC skill draft. Capture inputs, ordered steps, decision rules, pitfalls, and verification evidence, then choose an appropriate storage location.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a repeatable workflow from the current session into a reusable OMC skill draft
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Use this skill when the current session uncovered a repeatable workflow that should become a reusable OMC skill.
Capture a successful multi-step workflow as a concrete skill draft instead of rediscovering it later.
Before extracting a skill, all three should be true:
Prefer skills that encode decision-making heuristics, constraints, pitfalls, and verification steps. Avoid generic snippets, boilerplate, or library usage examples that belong in normal documentation.
---
name: <skill-name>
description: <one-line description>
triggers:
- <trigger-1>
- <trigger-2>
---
${CLAUDE_CONFIG_DIR:-~/.claude}/skills/omc-learned/<skill-name>.md.omc/skills/<skill-name>.mdomc-learned as the storage directory name for compatibility; do not present it as the public invocation name.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.
Write or revise instructions, specifications, tickets, and skill files so an agent can act without prior chat history. Make rules checkable, explain their reasons, define completion criteria, and keep authoritative information in one place.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Simplify bloated AI-generated code by removing dead code, duplicated logic, and unnecessary layers while checking that existing behavior stays intact. Use a limited cleanup scope, verify changes with relevant checks, or request a review without edits.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review module relationships and change history to identify structural improvements in a codebase. Receive ranked candidates with file references, suggested changes, and risks, plus a recommendation for where to start, without modifying code.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Send questions, review requests, or implementation tasks to a supported local AI command-line tool through one shared command. The wrapper handles provider-specific options and saves the result as a Markdown file for later reference.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn an unclear idea into linked decision tickets on a repository’s issue tracker. Work through one decision per session, record outcomes and dependencies, and prepare a brief defining the objective, scope, and exclusions for delivery.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a short product idea into working code through requirements analysis, technical planning, implementation, testing, and review. It coordinates agents across these stages, fixes detected problems, and reports assumptions that still need a human decision.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.