A comprehensive workflow coordinator that automates the generation, evaluation, and execution phases of the AI skill improvement lifecycle.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install improvement-orchestrator
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 improvement-orchestrator 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 Improvement Orchestrator?
The Improvement Orchestrator acts as the central management layer for the self-evolution of AI agents. It streamlines the complex transition between proposal generation, multi-reviewer scoring, task-based evaluation, and safe execution. By consolidating these stages into a unified pipeline, it ensures that updates to your Openclaw Skills are not only proposed but also rigorously vetted against quality gates and functional benchmarks.
Built for developers who need more than just simple edits, this tool manages the communication between specialized agents. It provides a robust framework for continuous refinement, ensuring that every modification to a skill is backed by data and passed through a multi-layer safety check before being finalized.
Improvement Orchestrator Use Cases
- Orchestrating a full 5-stage improvement cycle for complex agent skills.
- Implementing self-improvement loops that require automated failure analysis and retries.
- Managing batch updates across multiple Openclaw Skills simultaneously to ensure system-wide consistency.
- Coordinating multi-agent workflows where proposal generation and quality discrimination must be decoupled.
How Improvement Orchestrator Works
- Propose: The system triggers the generator to produce candidate improvement proposals based on the current skill state.
- Discriminate: Candidates are sent to a multi-reviewer panel for blind scoring and comparative ranking.
- Evaluate: If a task suite exists, the orchestrator runs functional validations to verify performance improvements.
- Execute: Approved changes are applied to the codebase with automatic backups created for safety.
- Gate: The final output passes through a 6-layer quality gate to ensure adherence to architectural standards.
- Ralph Wiggum Loop: In case of failure, the orchestrator injects execution traces into the context and automatically retries the cycle up to three times.
Improvement Orchestrator Setup
To begin optimizing your Openclaw Skills, navigate to your project directory and execute the orchestration script using Python. Ensure you specify the target skill and a state directory for tracking progress.
python3 scripts/orchestrate.py \
--target /path/to/skill \
--state-root /path/to/state \
--max-retries 3 \
--auto
Improvement Orchestrator Data Schema & Taxonomy
The orchestrator generates and maintains several key data artifacts during the pipeline execution:
| Data Component | Description |
|---|---|
| Pipeline JSON | A comprehensive log containing outputs from every stage, final scores, and execution traces. |
| Failure Traces | Metadata and logs from failed attempts used to inform the generator during retry cycles. |
| State Root | A directory structure containing temporary snapshots and candidate versions of the skill. |
| Task Suite | YAML-based benchmarks used by the evaluator to provide quantitative performance metrics. |
Improvement Orchestrator Advanced Features
- Ralph Wiggum Retry Loop: An intelligent feedback mechanism that uses failure traces to improve proposal accuracy in subsequent iterations.
- 6-Layer Quality Gate: A rigorous final validation stage that prevents regressions and ensures code safety within Openclaw Skills.
- Automated Rollbacks: Integrated backup management that allows the system to revert changes instantly if the execution or gating stages fail.
- Multi-Agent Coordination: Seamless hand-offs between specialized agents for generation, discrimination, and evaluation.
SKILL.md
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