A comprehensive framework for designing, coordinating, and evaluating multi-agent AI systems through structured communication and context management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-orchestration
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-orchestration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Orchestration?
The AI Orchestration skill is a robust framework within the Openclaw Skills ecosystem designed for managing complex multi-agent architectures. It allows developers to move beyond single-prompt interactions by decomposing intricate tasks into specialized sub-agents—such as Planners, Implementers, and Reviewers—ensuring high-quality output through isolation and structured handoffs.
By leveraging this skill, users can implement advanced prompt engineering patterns and establish an eval-driven development lifecycle. This approach ensures that AI systems are not only performant but also measurable and reliable across various coding and research tasks, making it a cornerstone for scaling Openclaw Skills in production environments.
AI Orchestration Use Cases
- Automated code review systems that run parallel security, performance, and style agents on pull requests.
- End-to-end feature implementation workflows that sequence planning, coding, testing, and documentation.
- Large-scale content generation tasks that parallelize the creation of API docs, unit tests, and examples.
- Complex debugging scenarios requiring independent specialized agents to analyze data flows and security vulnerabilities.
How AI Orchestration Works
- Task Decomposition: The orchestrator analyzes a complex requirement and breaks it into specialized sub-tasks for different agents.
- Workflow Selection: The system determines whether to run agents in parallel for independent tasks or sequentially for dependent outputs.
- Context Isolation: Relevant code and documentation are filtered and passed to specific sub-agents to keep context windows focused and efficient.
- Structured Handoff: Agents communicate via JSON and other structured formats to ensure data integrity during the lifecycle of the task.
- Output Validation: The final result is aggregated and validated against predefined success criteria using eval-driven development patterns.
AI Orchestration Setup
To integrate the AI Orchestration skill into your workflow, ensure your environment is configured for multi-agent communication. Use the following commands to initialize the orchestration framework within Openclaw Skills.
# Initialize the orchestration environment
openclaw install ai-orchestration
# Run a multi-agent review task
openclaw run ai-orchestration --task "Design and implement OAuth flow"
AI Orchestration Data Schema & Taxonomy
The skill organizes orchestration data and metadata using the following structures to maintain clarity across agent interactions:
| Component | Purpose | Format |
|---|---|---|
| Orchestrator State | Tracks global progress and high-level context. | JSON |
| Agent Roles | Defines specialized responsibilities (e.g., Security, Tester). | YAML |
| Eval Case | Contains input, expected output, and scoring criteria. | Dataclass/JSON |
| Context Budget | Allocates tokens for instructions, code, and history. | Table |
AI Orchestration Advanced Features
- Advanced Prompt Patterns: Support for RTCF (Role-Task-Context-Format), Chain of Thought, and Few-Shot learning.
- Eval-Driven Development: Built-in framework for A/B testing prompts and measuring accuracy, safety, and conciseness.
- Progressive Context Loading: Dynamic searching and summarizing of files to prevent context window overload.
- Error Recovery Logic: Automated retry loops with prompt adjustments when agents encounter non-fatal errors.
- Multi-Agent Integration: Native compatibility with other Openclaw Skills like skill-manager and verification-loop for automated validation.
SKILL.md
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