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oh-my-claudecode
oh-my-claudecode contém 40 skills coletadas de Yeachan-Heo, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Process-first advisor routing for Claude, Codex, Gemini, Antigravity, Grok, or Cursor via `omc ask`, with artifact capture and no raw CLI assembly
Claude-Codex-Gemini tri-model orchestration via /ask codex + /ask antigravity (or gemini), then Claude synthesizes results
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.
Install or refresh oh-my-claudecode for plugin, npm, and local-dev setups from the canonical setup flow
CLI-team runtime for claude, codex, gemini, antigravity, grok, or cursor workers in tmux panes when you need process-based parallel execution
N coordinated agents on shared task list using Claude Code implicit agent teams
Configure notification integrations (Telegram, Discord, Slack) via natural language
Cancel any active OMC mode (autopilot, ralph, ultrawork, ultraqa, swarm, ultrapilot, pipeline, team)
Full autonomous execution from idea to working code
Strategic planning with optional interview workflow
Consensus planning entrypoint that auto-gates vague ralph/autopilot/team requests before execution
Configure HUD display options (layout, presets, display elements)
Remind the user to rebuild OMC after editing TypeScript when running from a local fork. Triggered automatically by the AI whenever it notices it (or the user) just changed a src/**/*.ts file in an OMC dev install.
Self-referential loop until task completion with configurable verification reviewer
Autonomous evolutionary code improvement engine with tournament selection
Durable multi-goal workflow that persists plan/ledger artifacts under .omc/ultragoal and prints Claude /goal handoff text for the active session
QA cycling workflow - test, verify, fix, repeat until goal met
Parallel execution engine for high-throughput task completion
Socratic deep interview with mathematical ambiguity gating before explicit execution approval
Diagnose and fix oh-my-claudecode installation issues
2-stage pipeline: trace (causal investigation) -> deep-interview (requirements crystallization) with 3-point injection
Evidence-driven tracing lane that orchestrates competing tracer hypotheses in Claude built-in team mode
Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode
Extract a learned skill from the current conversation
Manage local skills - list, add, remove, search, edit, setup wizard
Turn a repeatable workflow from the current session into a reusable OMC skill draft
Worktree-first dev environment manager for issues, PRs, and features with optional tmux sessions
Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior
Configure popular MCP servers for enhanced agent capabilities
Generic release assistant — analyzes repo release rules, caches them in .omc/RELEASE_RULE.md, then guides the release
LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)
Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction
Review reusable project knowledge and decide what belongs in project memory, notepad, or durable docs
Verify that a change really works before you claim completion
Use first for install/update routing — sends setup, doctor, or MCP requests to the correct OMC setup flow
Structured visual QA verdict for screenshot-to-reference comparisons
Deep codebase initialization with hierarchical AGENTS.md documentation
Invoke parallel document-specialist agents for external web searches and documentation lookup
Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode
Agentic memory system for writers - track characters, relationships, scenes, and themes