omc-reference
OMC agent catalog, available tools, team pipeline routing, commit protocol, and skills registry. Auto-loads when delegating to agents, using OMC tools, orchestrating teams, making commits, or invoking skills.
Best use case
omc-reference is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. OMC agent catalog, available tools, team pipeline routing, commit protocol, and skills registry. Auto-loads when delegating to agents, using OMC tools, orchestrating teams, making commits, or invoking skills.
OMC agent catalog, available tools, team pipeline routing, commit protocol, and skills registry. Auto-loads when delegating to agents, using OMC tools, orchestrating teams, making commits, or invoking skills.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "omc-reference" skill to help with this workflow task. Context: OMC agent catalog, available tools, team pipeline routing, commit protocol, and skills registry. Auto-loads when delegating to agents, using OMC tools, orchestrating teams, making commits, or invoking skills.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/omc-reference/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How omc-reference Compares
| Feature / Agent | omc-reference | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
OMC agent catalog, available tools, team pipeline routing, commit protocol, and skills registry. Auto-loads when delegating to agents, using OMC tools, orchestrating teams, making commits, or invoking skills.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# OMC Reference Use this built-in reference when you need detailed OMC catalog information that does not need to live in every `CLAUDE.md` session. ## Agent Catalog Prefix: `oh-my-claudecode:`. See `agents/*.md` for full prompts. - `explore` (haiku) — fast codebase search and mapping - `analyst` (opus) — requirements clarity and hidden constraints - `planner` (opus) — sequencing and execution plans - `architect` (opus) — system design, boundaries, and long-horizon tradeoffs - `debugger` (sonnet) — root-cause analysis and failure diagnosis - `executor` (sonnet) — implementation and refactoring - `verifier` (sonnet) — completion evidence and validation - `tracer` (sonnet) — trace gathering and evidence capture - `security-reviewer` (sonnet) — trust boundaries and vulnerabilities - `code-reviewer` (opus) — comprehensive code review - `test-engineer` (sonnet) — testing strategy and regression coverage - `designer` (sonnet) — UX and interaction design - `writer` (haiku) — documentation and concise content work - `qa-tester` (sonnet) — runtime/manual validation - `scientist` (sonnet) — data analysis and statistical reasoning - `document-specialist` (sonnet) — SDK/API/framework documentation lookup - `git-master` (sonnet) — commit strategy and history hygiene - `code-simplifier` (opus) — behavior-preserving simplification - `critic` (opus) — plan/design challenge and review ## Model Routing - `haiku` — quick lookups, lightweight inspection, narrow docs work - `sonnet` — standard implementation, debugging, and review - `opus` — architecture, deep analysis, consensus planning, and high-risk review ## Tools Reference ### External AI / orchestration - `/team N:executor "task"` - `omc team N:codex|gemini "..."` - `omc ask <claude|codex|gemini>` - `/ccg` ### OMC state - `state_read`, `state_write`, `state_clear`, `state_list_active`, `state_get_status` ### Team runtime - `TeamCreate`, `TeamDelete`, `SendMessage`, `TaskCreate`, `TaskList`, `TaskGet`, `TaskUpdate` ### Notepad - `notepad_read`, `notepad_write_priority`, `notepad_write_working`, `notepad_write_manual` ### Project memory - `project_memory_read`, `project_memory_write`, `project_memory_add_note`, `project_memory_add_directive` ### Code intelligence - LSP: `lsp_hover`, `lsp_goto_definition`, `lsp_find_references`, `lsp_diagnostics`, and related helpers - AST: `ast_grep_search`, `ast_grep_replace` - Utility: `python_repl` ## Skills Registry Invoke built-in workflows via `/oh-my-claudecode:<name>`. ### Workflow skills - `autopilot` — full autonomous execution from idea to working code - `ralph` — persistence loop until completion with verification - `ultrawork` — high-throughput parallel execution - `visual-verdict` — structured visual QA verdicts - `team` — coordinated team orchestration - `ccg` — Codex + Gemini + Claude synthesis lane - `ultraqa` — QA cycle: test, verify, fix, repeat - `omc-plan` — planning workflow and `/plan`-safe alias - `ralplan` — consensus planning workflow - `sciomc` — science/research workflow - `external-context` — external docs/research workflow - `deepinit` — hierarchical AGENTS.md generation - `deep-interview` — Socratic ambiguity-gated requirements workflow - `ai-slop-cleaner` — regression-safe cleanup workflow ### Utility skills - `ask`, `cancel`, `note`, `learner`, `omc-setup`, `mcp-setup`, `hud`, `omc-doctor`, `trace`, `release`, `project-session-manager`, `skill`, `writer-memory`, `configure-notifications` ### Keyword triggers kept compact in CLAUDE.md - `"autopilot"→autopilot` - `"ralph"→ralph` - `"ulw"→ultrawork` - `"ccg"→ccg` - `"ralplan"→ralplan` - `"deep interview"→deep-interview` - `"deslop" / "anti-slop"→ai-slop-cleaner` - `"deep-analyze"→analysis mode` - `"tdd"→TDD mode` - `"deepsearch"→codebase search` - `"ultrathink"→deep reasoning` - `"cancelomc"→cancel` - Team orchestration is explicit via `/team`. ## Team Pipeline Stages: `team-plan` → `team-prd` → `team-exec` → `team-verify` → `team-fix` (loop). - Use `team-fix` for bounded remediation loops. - `team ralph` links the team pipeline with Ralph-style sequential verification. - Prefer team mode when independent parallel lanes justify the coordination overhead. ## Commit Protocol Use git trailers to preserve decision context in every commit message. ### Format - Intent line first: why the change was made - Optional body with context and rationale - Structured trailers when applicable ### Common trailers - `Constraint:` active constraint shaping the decision - `Rejected:` alternative considered | reason for rejection - `Directive:` forward-looking warning or instruction - `Confidence:` `high` | `medium` | `low` - `Scope-risk:` `narrow` | `moderate` | `broad` - `Not-tested:` known verification gap ### Example ```text feat(docs): reduce always-loaded OMC instruction footprint Move reference-only orchestration content into a native Claude skill so session-start guidance stays small while detailed OMC reference remains available. Constraint: Preserve CLAUDE.md marker-based installation flow Rejected: Sync all built-in skills in legacy install | broader behavior change than issue requires Confidence: high Scope-risk: narrow Not-tested: End-to-end plugin marketplace install in a fresh Claude profile ```
Related Skills
writer-memory
Agentic memory system for writers - track characters, relationships, scenes, and themes
visual-verdict
Structured visual QA verdict for screenshot-to-reference comparisons
ultrawork
Parallel execution engine for high-throughput task completion
ultraqa
QA cycling workflow - test, verify, fix, repeat until goal met
trace
Evidence-driven tracing lane that orchestrates competing tracer hypotheses in Claude built-in team mode
team
N coordinated agents on shared task list using Claude Code native teams
skill
Manage local skills - list, add, remove, search, edit, setup wizard
setup
Use first for install/update routing — sends setup, doctor, or MCP requests to the correct OMC setup flow
sciomc
Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode
release
Automated release workflow for oh-my-claudecode
ralplan
Consensus planning entrypoint that auto-gates vague ralph/autopilot/team requests before execution
ralph
Self-referential loop until task completion with configurable verification reviewer