agent-orchestration

Configure shell profile so that `copilot`, `atlas`, and `cop` commands always launch with --agent oh-my-copilot:atlas --autopilot. Run this once after installing oh-my-copilot.

메인 오케스트레이터 에이전트. 복잡한 태스크를 원자적 서브태스크로 분해하고 병렬로 실행합니다. "오케스트레이션", "태스크 분해", "sisyphus" 트리거. ultrawork 내부에서도 자동 활성화됩니다.

경쟁 가설 기반 evidence-driven 디버깅. 애매한 버그, 인과관계 추적, 성능 문제, 2회 이상 재현 실패한 버그에 사용합니다. "trace", "왜 이게", "원인 분석", "debugging", "버그 추적", "root cause", "원인을 모르겠어", "재현이 안 돼" 트리거로 사용합니다. oh-my-claudecode의 trace 스킬 패턴을 Copilot CLI에 포팅한 스킬입니다.

원커맨드 풀 오케스트레이션. Sisyphus + Hephaestus + Prometheus가 모두 활성화됩니다. "ultrawork", "ulw", "ulw-loop", "다 해줘", "전부 해줘" 트리거로 사용합니다. oh-my-opencode의 ultrawork를 Copilot CLI에 포팅한 스킬입니다.

Activates full autonomous execution — from idea to working, verified code

Set up notification integrations — Telegram, Discord, Slack alerts for long-running tasks

Deep analysis mode — multi-agent investigation of complex systems or problems

Health check — verifies omg plugin is correctly installed and working

External documentation and web research via parallel document-specialist agents

Activates autonomous code improvement — competing strategies, benchmarking, tournament selection

Cross-session persistent context — remember project decisions, architecture choices, and team conventions

Evidence-driven tracing — orchestrate competing hypotheses to explain observed outcomes

Activates parallel execution — fires multiple agents simultaneously for independent tasks

Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up…

Run AI agent code safely in isolated sandboxes with resource limits, audit trails, and kill switches. Use when someone asks to "sandbox my agent", "run agent code safely", "add guardrails to AI agent", "isolate agent execution", "audit agent actions", "prevent agent from…

Parallel read-only multi-agent root-cause investigation for bugs and regressions. Use when: investigating bugs, finding root causes, tracing regressions, or diagnosing failures with multi-agent swarm.

Run Codex CLI, Claude Code, or other coding agents as background processes for programmatic control. Use when a user asks to run a coding agent, delegate a task to another AI, spawn a sub-agent, run Claude Code in the background, or orchestrate multiple coding agents on separate…

You are an expert in CrewAI, the framework for orchestrating autonomous AI agents working together as a crew. You help developers define agents with specific roles, goals, and tools, then organize them into crews that collaborate on complex tasks — with sequential, parallel, and…

AI agent for building, running, and debugging iOS apps on simulator via XcodeBuildMCP. Use when: running iOS apps, inspecting simulator UI, capturing logs, or diagnosing runtime behavior.

Offload tasks to local LLMs via LM Studio. Use when a user asks to run local models with LM Studio, save API costs by using local LLMs, create subagents with local models, offload summarization or classification to a local model, or use LM Studio's API for batch processing.…

Build Model Context Protocol (MCP) servers that connect AI agents to external services and data sources. Use when a user asks to create an MCP server, build an MCP tool, connect an AI agent to an API, create a tool server for Claude, build MCP resources, or expose a…

Build multi-agent AI systems with Microsoft's Agent Framework (formerly Semantic Kernel Agents). Use when: defining AI agents, orchestrating multi-agent workflows (sequential, parallel, conditional), creating custom agents in Python or .NET, using built-in agents…

Build asynchronous coding agents using LangChain's Open SWE framework — agents that plan, code, test, and iterate on software engineering tasks. Use when: building coding bots, automating issue resolution, creating SWE agents that work on repos asynchronously.

You are an expert in the OpenAI Agents SDK (formerly Swarm), the official framework for building multi-agent systems. You help developers create agents with tool calling, guardrails, agent handoffs, streaming, tracing, and MCP integration — building production-grade AI agents…

Plan and execute large refactor efforts with parallel multi-agent analysis. Use when: refactoring many files, splitting workstreams, or coordinating sub-agents for batch code changes.