agent-doc-discipline
Writing-time discipline for documents agents consume (the five surfaces, specs, tickets, .omc/skills/) — every rule checkable and carrying a why, steps before…
Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction
$ npx -y skills add Yeachan-Heo/oh-my-claudecode --skill debug --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/debugContext preview
The summary Claude sees to decide when to auto-load this skill.
Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction
name: debug description: Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction
Use this skill when the user wants help diagnosing a current OMC/Claude-Code session problem, workflow breakage, or confusing runtime behavior.
Find the real failure signal quickly and explain the next corrective step.
1. Read the user’s issue description carefully. 2. Inspect the most relevant local evidence first:
3. Reproduce the issue narrowly if possible. 4. Distinguish symptoms from root cause. 5. Recommend the smallest next fix or verification step.
For Codex users: Check out oh-my-codex — the same orchestration experience for OpenAI Codex CLI. Liked OmC but found it a bit overkill? Try gajae-code.
Repo: Yeachan-Heo/oh-my-claudecode
Writing-time discipline for documents agents consume (the five surfaces, specs, tickets, .omc/skills/) — every rule checkable and carrying a why, steps before…
Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode
Shipyard's navigator — chart a foggy effort (destination unclear, questions not yet stateable) into a map of decision tickets on the repo's issue tracker, then…
Process-first advisor routing for Claude, Codex, Gemini, Antigravity, Grok, or Cursor via `omc ask`, with artifact capture and no raw CLI assembly
Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior