A specialized skill for managing the end-to-end development lifecycle on the Xiaochang AI Coding platform, from requirement analysis to final deployment.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install happycoding-aicoding
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 happycoding-aicoding 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 Xiaochang AI Coding (Teaching Version)?
This skill provides a standardized workflow for the Xiaochang AI Coding platform, designed specifically for teaching and replicating professional AI development cycles. It enables developers to interact with the platform’s requirement communication zone, automate code suggestions, and handle manual code refinements through the built-in editor.
By integrating Openclaw Skills, users can ensure a robust audit trail from initial prompt to final verified release. The skill emphasizes a requirements-first approach, leveraging the platform's native AI capabilities before resorting to manual code edits. This ensures stability and reproducibility in development environments, making it ideal for both rapid prototyping and educational demonstrations.
Xiaochang AI Coding (Teaching Version) Use Cases
- Automating the transition from natural language requirements to functional code patches.
- Conducting educational sessions on AI-assisted coding standard operating procedures.
- Managing the publishing and link-sharing lifecycle for tool-based web projects.
- Integrating external multi-modal AI APIs into frontend development tasks using Openclaw Skills.
How Xiaochang AI Coding (Teaching Version) Works
- Initiate requirement analysis in the Communication Zone to generate platform-led modification suggestions.
- Utilize automated suggestion buttons for iterative refinements such as beautification or feature addition.
- Perform manual code fine-tuning within the editor using the editorManager interface when automated patches are insufficient.
- Trigger the preview environment to validate that the output meets the defined requirements.
- Execute a project-level save to ensure data persistence across sessions.
- Publish the final project to a public URL and document the deployment metadata.
Xiaochang AI Coding (Teaching Version) Setup
To get started with this skill within the Openclaw Skills ecosystem, follow these steps:
- Log in to the platform at
https://aicoding.aigcuniversity.com/. - Verify that the project list and editor components are fully loaded.
- For API integrations, configure your environment variables for the image generation endpoint:
# Set your API key for multi-modal features
export X_API_KEY="your_key_here"
- Ensure the
editorManagerobject is accessible in the global window scope for code manipulation.
Xiaochang AI Coding (Teaching Version) Data Schema & Taxonomy
The skill organizes its technical data and metadata according to the following taxonomy:
| Data Component | Access Method / Format | Description |
|---|---|---|
| Code Document | window.editorManager.editor.state.doc.toString() |
Retrieves the raw string of the current code buffer. |
| Image History | localStorage.imageHistory |
Stores up to 10 recent generation records in JSON format. |
| API Request | application/json |
Schema includes messages array and stream: false flag. |
| Output Metadata | Shareable URL + Screenshots | Captures the final deployment slug and visual verification. |
Xiaochang AI Coding (Teaching Version) Advanced Features
- Batch Code Replacement: Optimizes stability by clearing the editor and inserting new code in 3-4KB chunks.
- Multi-modal API Integration: Direct support for the ID 10 intelligent agent for Base64 PNG generation and image-to-image workflows.
- UI Constraints: Enforces specific purple-themed visual styles and split-pane layouts for better UX.
- Persistent Audit Trail: Maintains a strict Requirement -> Modification -> Verification chain for Openclaw Skills users.
SKILL.md
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