Orchestrate tasks across multiple AI providers (Claude, OpenAI, Gemini, Cursor, OpenCode, Ollama). Use when delegating tasks to specialized providers, routing based on capabilities, or implementing fallback strategies.
Installation
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Orchestrate tasks across multiple AI providers (Claude, OpenAI, Gemini, Cursor, OpenCode, Ollama). Use when delegating tasks to specialized providers, routing based on capabilities, or implementing fallback strategies.
Multi-Agent Orchestration Skill
Route and delegate tasks to the most appropriate AI provider based on task characteristics and provider capabilities.
Variables
Variable
Default
Description
ENABLED_CLAUDE
true
Enable Claude Code as provider
ENABLED_OPENAI
true
Enable OpenAI/Codex as provider
ENABLED_GEMINI
true
Enable Gemini as provider
ENABLED_CURSOR
true
Enable Cursor as provider
ENABLED_OPENCODE
true
Enable OpenCode as provider
ENABLED_OLLAMA
true
Enable local Ollama as provider
DEFAULT_PROVIDER
claude
Fallback when routing is uncertain
CHECK_COST_STATUS
true
Check usage before delegating
Instructions
MANDATORY - Follow the Workflow steps below in order. Do not skip steps.
Before delegating, understand the task characteristics
Use the model-discovery skill for current model names
Check cost/usage status before high-volume delegation
Quick Decision Tree
What type of task is this?
│
├─ Needs conversation history? ─────────► Keep in Claude (no delegation)
│
├─ Needs sandboxed execution? ──────────► OpenAI/Codex
│
├─ Large context (>100k tokens)? ───────► Gemini
│
├─ Multimodal (images/video)? ──────────► Gemini
│
├─ Needs web search? ───────────────────► Gemini
│
├─ Quick IDE edit? ─────────────────────► Cursor
│
├─ Privacy required / offline? ─────────► Ollama
│
├─ Provider-agnostic fallback? ─────────► OpenCode
│
└─ General reasoning / coding? ─────────► Claude (default)
Red Flags - STOP and Reconsider
If you're about to:
Delegate without checking provider availability
Use hardcoded model names (use model-discovery skill instead)
Send sensitive data to a provider without user consent
Delegate a task that requires your conversation history
Skip the routing decision and guess which provider
STOP -> Read the appropriate cookbook file -> Check provider status -> Then proceed
Workflow
Analyze the task: What capabilities are required?
CHECKPOINT: Consult reference/provider-matrix.md for routing decision
Check provider availability: Run provider-check and cost-status if CHECK_COST_STATUS is true
Read the appropriate cookbook file for the selected provider
CHECKPOINT: Confirm API key / auth is configured
Execute delegation with proper context
Parse and summarize results for the user
Cookbook
Claude Code (Orchestrator)
IF: Task requires complex reasoning, multi-file analysis, or conversation history
THEN: Keep task in Claude Code (you are the orchestrator)
WHY: Best for architecture decisions, complex refactoring
OpenAI / Codex
IF: Task needs sandboxed execution OR security-sensitive operations
THEN: Read and execute cookbook/openai-codex.md
REQUIRES: OPENAI_API_KEY or Codex subscription
Google Gemini
IF: Task involves large context (>100k tokens), multimodal (images/video), OR web search
THEN: Read and execute cookbook/gemini-cli.md
REQUIRES: GEMINI_API_KEY or Gemini subscription
Cursor
IF: Task is quick IDE edits, simple codegen, or rename/refactor
THEN: Read and execute cookbook/cursor-agent.md
REQUIRES: Cursor installed and configured
OpenCode
IF: Need provider-agnostic execution or a fallback CLI
THEN: Read and execute cookbook/opencode-cli.md
REQUIRES: OpenCode CLI installed and configured
Ollama (Local)
IF: Task needs privacy, offline operation, or cost-free inference
THEN: Read and execute cookbook/ollama-local.md
REQUIRES: Ollama running with models pulled
Model Names
Do not hardcode model version numbers - they become stale quickly.
For current model names, use the model-discovery skill:
