An automated workflow for reviewing, improving, and delivering HTML files through multi-dimensional AI jury feedback.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install peace-workflow
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install peace-workflow using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Peace Workflow is a specialized automation skill designed to handle the full lifecycle of HTML game development and code review. It streamlines the process of sending files for evaluation, convening a multi-perspective AI jury, and implementing code improvements based on expert feedback. By integrating with Openclaw Skills, it ensures that frontend projects meet high standards for performance, user experience, and cross-platform compatibility.
The skill excels at iterative development, allowing developers to move from a baseline version to a polished, production-ready file through successive rounds of automated analysis and refactoring. It bridges the gap between raw code and refined output by simulating a professional QA and lead developer environment.
To integrate Peace Workflow into your environment, ensure your agent has access to the message and jury-review tools.
# Example of triggering the workflow within an Openclaw Skills compatible agent
peace workflow for ./index.html --iterations 3
Configure your environment variables for channel integrations (e.g., Feishu) to enable file sending capabilities.
The skill manages data using a sequential versioning system and internal metadata tracking:
| Feature | Description |
|---|---|
| Naming Convention | Uses a prefix (default: peace) followed by an incrementing integer (e.g., peace_1.html). |
| Metadata Header | Injects an HTML comment block containing Version, Changes List, and Review Score. |
| Score Threshold | Maintains an accept_threshold (default: 80) to determine if further iterations are needed. |
| Iteration History | Tracks a history of changes across max_iterations to prevent regression. |
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