Find the appropriate skill for the work you need to do, from clarifying requirements to implementation, review, and verification. This routing guide selects the next skill or shows a manual command without performing the work itself.
The yard's skill map — which skill owns which job, in delivery-loop order. Use when something needs doing but not which of the shipped skills owns it; the map routes, it never executes.
Review the instructions the agent will receive before you install.
You know something needs doing; you do not know which skill owns it. Find the job below and follow its route. Most routes call the Skill tool; a route marked manual gives you the slash command to invoke yourself because model invocation is disabled. The map routes and explains nothing twice — each routed skill owns its own doctrine.
| You are here | Skill |
|---|---|
| External work arrived (issues, PRs, reports) | harbor |
| A non-engineer handed you a chat log as requirements | intent |
| The destination is foggy — the first three decisions cannot be stated yet | ask-navigator |
| Vague idea; questions must come before anything else | deep-interview |
| Requirements are clear; you need a plan | plan (multi-perspective consensus: ralplan) |
| Approved plan; decompose and ship end to end with human checkpoints | launch |
| One task; persistence until verified complete | ralph |
| Hands-off idea-to-code | autopilot |
| Work needs coordinated parallel workers | team |
| One approved task carried through verified code | execute |
| A design question prose cannot settle | loft |
| Finished work needs judgment | review |
| Something claims to be done | verify |
| Work is landing as a PR | pr |
| The run taught the environment something | refit |
| Job | Skill |
|---|---|
| A bug needs its root cause | debug; competing-hypothesis tracing: trace |
| Tests should drive the implementation | tdd |
| The codebase is getting harder to change | architecture-survey |
| AI-generated slop needs cleanup | ai-slop-cleaner |
| An open question needs grounded answers | research; external docs: external-context |
| Knowledge should compound across sessions | wiki; durable project memory: remember |
| A recurring autonomous improvement loop | self-improve; durable goal ledger: ultragoal |
| A session needs reorientation across its pivots and outcomes | session-flow — run /oh-my-claudecode:session-flow manually |
| Visual work needs verdicts or diagrams | visual-verdict; diagram |
| Job | Skill |
|---|---|
| Install, diagnose, configure | omc-setup; omc-doctor; configure-notifications |
| Manage skills themselves | skill (local); skillify (extract from session) |
| Inspect orchestration state | trace (also the tracing lane); graph (DAG runtime) |
| Cancel a mode | cancel |
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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.
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.
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.
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.
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.
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.