Overview
- Skill Key
- homeofe/openclaw-model-orchestrator
- Author
- homeofe
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/homeofe/openclaw-model-orchestrator
- Latest Commit SHA
- e0489351da2d6864b646da2806f326ba560a8548
Multi-LLM orchestration for OpenClaw with fan-out, pipeline, and consensus patterns. Dispatches tasks across 40+ models using AAHP v3 inspired handoffs.
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# OpenClaw Model Orchestrator Dispatch tasks across multiple LLMs from chat. Uses AAHP v3 structured handoffs for minimal token overhead. ## Orchestration Modes ### Fan-Out Split a task into parallel subtasks, each executed by a different model. A planner model decomposes the task, workers execute in parallel, a reviewer merges results. ``` /orchestrate --mode fan-out --task "Build a REST API with auth" --planner copilot-opus --workers copilot52c,grokfast --reviewer copilot-sonnet46 ``` ### Pipeline Chain models sequentially. Each model refines the previous model's output. Ideal for plan -> implement -> review -> polish workflows. ``` /orchestrate --mode pipeline --task "Design and implement a caching layer" --planner copilot-opus --workers copilot52c,copilot-sonnet46 --reviewer copilot-opus ``` ### Consensus Send the same question to multiple models, then synthesize the best answer. Identifies agreement, disagreement, and unique insights across models. ``` /orchestrate --mode consensus --task "What are the security risks of this API design?" --workers copilot-opus,gemini25,sonnet --reviewer copilot-opus ``` ## Smart Recommendations The orchestrator auto-classifies tasks and recommends optimal model combinations: ``` /orchestrate recommend "Build a REST API with JWT auth" ``` Returns: task classification, recommended planner/workers/reviewer, reasoning, and a ready-to-run command. Use `help` as any flag value for context-aware recommendations: ``` /orchestrate --task "Audit security" --planner help ``` ## Task Profiles Pre-configured model combinations optimized for common task types: | Profile | Planner | Workers | Reviewer | Use Case | |---------|---------|---------|----------|----------| | coding | copilot-opus | copilot52c, grokfast | copilot-sonnet46 | Feature development | | research | gemini25 | gemini-flash, copilot-flash | copilot-opus | Analysis, investigation | | security | copilot-opus | copilot-sonnet46, gemini25 | sonnet | Security audi...
# openclaw-model-orchestrator > Multi-LLM orchestration for OpenClaw. Fan-out, pipeline, and consensus patterns with AAHP v3 handoffs. ## Install ```bash clawhub install openclaw-model-orchestrator ``` ## Quick Start ```bash # Get help /orchestrate help # See available models /orchestrate models # Get recommendations for a task /orchestrate recommend "Build a REST API with JWT auth" # Fan-out: parallel subtasks across models /orchestrate --mode fan-out --task "Build REST API" --planner copilot-opus --workers copilot52c,grokfast --reviewer copilot-sonnet46 # Pipeline: sequential refinement /orchestrate --mode pipeline --task "Design caching layer" # Consensus: compare model answers /orchestrate --mode consensus --task "Security risks of this design?" --workers copilot-opus,gemini25,sonnet ``` ## How It Works 1. **Classify** - Auto-detects task type (coding, research, security, review, bulk) 2. **Recommend** - Suggests optimal model combination based on task + available models 3. **Execute** - Runs orchestration with AAHP v3 structured handoffs between models 4. **Merge** - Reviewer model synthesizes final output All inter-model communication uses AAHP v3 handoff objects (structured JSON, no raw chat history) for up to 98% token reduction. ## License MIT
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