Codemend is an AI-powered error monitoring skill that captures production JavaScript/TypeScript errors to generate automated fixes and actionable developer prompts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install codemend
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 codemend 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 Codemend?
Codemend is a comprehensive error monitoring and resolution platform designed to streamline the debugging lifecycle using artificial intelligence. It captures runtime exceptions across various environments—including Browser, Node.js, and React Native—and provides deep insights into stack traces and root causes. By integrating this into Openclaw Skills, developers can automate the process of moving from a production crash to a verified code fix, significantly reducing the Mean Time to Resolution (MTTR).
The core value of Codemend lies in its ability to synthesize error data into actionable intelligence. Instead of just notifying a developer that an error occurred, this Openclaw Skills integration provides a specific fix prompt that can be pasted into AI-driven IDEs or automatically submitted as a GitHub Pull Request. This makes it an indispensable tool for teams using agentic workflows to maintain high-quality codebases.
Codemend Use Cases
- Real-time production error monitoring for JavaScript and TypeScript applications.
- Automated generation of bug fix prompts for AI coding tools like Cursor, Replit, and Lovable.
- Rapid root cause analysis of complex stack traces using AI.
- Streamlining the DevOps lifecycle by converting production errors directly into GitHub Pull Requests via Openclaw Skills.
How Codemend Works
- The Codemend client captures an unhandled exception or a manually reported error in the production environment.
- The error metadata, including message and stack trace, is transmitted via the report_error tool.
- Codemend AI analyzes the incoming data to identify the source of the bug and generate a solution.
- The user utilizes the get_fix tool to retrieve a detailed explanation, confidence score, and fix implementation.
- The provided fix prompt is applied to the codebase, or a generated PR is reviewed and merged to resolve the issue.
Codemend Setup
To integrate with a Node.js or backend project, install the dependency:
npm install codemend
For frontend projects (React, Next.js, Vue), add the monitoring script to your HTML head:
<script src="https://codemend.ai/s.js" data-key="YOUR_API_KEY"></script>
To use the Openclaw Skills functionality, ensure your API key is configured in your environment:
export CODEMEND_API_KEY='your_api_key_here'
Codemend Data Schema & Taxonomy
The skill organizes error and resolution data into a structured format for easy consumption:
| Object | Key Fields | Description |
|---|---|---|
| Error | id, status, message, stack_trace | Contains the core technical details of the failure. |
| Fix | explanation, root_cause, fix_prompt, pr_url | Provides the AI-generated solution and implementation path. |
| Status | new, analyzing, analyzed, fix_applied | Tracks the lifecycle of the error resolution within Openclaw Skills. |
Codemend Advanced Features
- Multi-agent support for fetching fixes and listing recent errors in a single workflow.
- Automated GitHub Pull Request generation for seamless bug patching.
- Specialized handlers for Express.js and React Native for full-stack coverage.
- Confidence scoring for AI-generated fixes to ensure code reliability within Openclaw Skills automation.
SKILL.md
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