agent-doc-discipline
Writing-time discipline for documents agents consume (the five surfaces, specs, tickets,…
Cross-session environment retrospective driven by OMC's own instrumentation — trace timelines, friction reports, logs, and plan notepads. Every finding lands on the surface that owns the fix (deterministic check, steering volume, tooling, or information access); nothing is
$ npx -y skills add Yeachan-Heo/oh-my-claudecode --skill refit --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/refitContext preview
The summary Claude sees to decide when to auto-load this skill.
Cross-session environment retrospective driven by OMC's own instrumentation — trace timelines, friction reports, logs, and plan notepads. Every finding lands on the surface that owns the fix (deterministic check, steering volume, tooling, or information access); nothing is
name: refit description: Cross-session environment retrospective driven by OMC's own instrumentation — trace timelines, friction reports, logs, and plan notepads. Every finding lands on the surface that owns the fix (deterministic check, steering volume, tooling, or information access); nothing is written without user approval. argument-hint: "[--scope <area>] [--last <N sessions>]" disable-model-invocation: true
Refit surveys the environment the agent worked in — not the code it produced (review and verify own that) and not one launch run's lessons (the sediment pass owns that). Every kind of work leaves friction behind: a ralph loop that kept tripping on the same check, an autopilot run that stalled waiting for a signal, a debugging session where the decisive output was never captured anywhere. OMC instruments all of it. Refit reads the instruments and converts recorded friction into environment changes, so the next run starts in a better yard.
The survey starts from OMC's instruments, not from a checklist. Read before asking the user anything:
Findings emerge from what the data shows. An empty survey is a valid result and is stated plainly; an invented finding is the same violation as skipping the survey. A repo with no wired automated checks is itself a finding, not a neutral default.
Every finding names the surface that owns its fix. A finding that fits no surface is declined, explicitly and with the reason.
1. **Deterministic check** — the failure was mechanical: a fixed syntactic pattern, a banned API, an import shape, a file-location rule. The fix is a lint rule, hook, or CI job — whichever the repo's existing guardrails make cheapest. Default to building the check over writing the rule. 2. **Steering surface** — the failure was a judgement call no guardrail substitutes for: cross-file consistency, matches-surrounding-style. The fix lands in the matching `docs/standards/` volume, or in `CLAUDE.md`/`AGENTS.md` within the thin-entry budget the launch sediment pass defines. Navigation pointers over prose. 3. **Tool surface** — the drag was tooling itself: expensive or token-inefficient MCP calls, missing automation, checks too slow to be run when they matter. The fix lands in `.mcp.json`, `scripts/`, hooks, or OMC config. 4. **Information surface** — the agent needed a signal it could not reach: dev-server logs, service state, third-party readonly access. The fix tees the log, exposes the state, or documents the access path.
The split rests on where enforcement pressure lives: implementation contexts carry the most of it (exploration, writing, and debugging all at once); review contexts receive a diff with none of it. Standards therefore belong to reviewers and checks — never to more instructions loaded onto the implementer.
1. Present findings ranked by severity, each as `finding → surface → intended change`, with one line of instrument evidence (which instrument, what it showed). 2. Stop for user approval. Each line is individually approvable or vetoable. 3. Write approved findings to their surfaces. Before writing any steering prose, call the Skill tool with `agent-doc-discipline` and pass its verification checklist. A newly installed deterministic check must be proven to bite before it counts as landed: run it clean once, then demonstrate it failing on a deliberately introduced violation, then revert the violation. A check that cannot be shown failing goes back to the proposal — a guardrail nobody has seen fire is decoration, not protection. 4. Record where each finding landed — one file location per line — so the next refit starts from the record, not from memory. A refit on a launch-run session starts from that run's sediment list; a launch run may defer a lesson to a later refit by naming it.
Refit is user-invoked, but its survey does not need the user at the keyboard to run — only to dispose. A host scheduler (cron, CI timer, an automation tool) may start a headless agent session that invokes this skill; the survey runs to its natural boundary under the same contract:
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
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