OpenClaw skill
coding-agent
An OpenClaw skill named coding-agent that enables agents to autonomously generate, execute, and iterate on code to solve programming tasks. It supports languages including Python, JavaScript, TypeScript, C, C++, Rust, Go, and Bash. The skill provides a sandboxed execution environment with file system access and package installation capabilities.
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How this skill works
- The skill matches incoming tasks against coding-related triggers defined in metadata
- Upon match, it initializes a coding agent session with a sandboxed environment
- The agent observes the task description and workspace state
- It generates a plan using chain-of-thought prompting
- The agent executes actions via tools: edit files, run shell commands, test code
- It iterates in a ReAct loop: observe, think, act until task completion or timeout
- Completion criteria: all tests pass or explicit success signal
- Outputs the final code and explanation
When to use it
- When tasked with writing code for a specific programming problem
- When needing to debug or fix errors in existing code
- When generating unit tests for code functionality
- When refactoring code to improve structure or performance
- When explaining code snippets or concepts
Best practices
- Set OPENAI_API_KEY environment variable prior to use
- Use 'gpt-4' or better model for complex coding tasks
- Always review and test generated code before execution
- Provide detailed context and examples in coding requests
- Respect OpenAI rate limits to avoid disruptions
Example use cases
- Generating code from natural language prompts: The skill enables the agent to write code in languages like Python, JavaScript, or others based on user descriptions, as shown in examples like creating functions or scripts.
- Executing and testing code in a sandbox: The agent can run generated or provided code safely and retrieve outputs or errors to verify functionality.
- Debugging and fixing code issues: The skill supports analyzing error messages, stack traces, and suggesting or applying fixes iteratively.
- Editing and refactoring existing code: The agent can modify codebases, add features, or refactor code while maintaining context from files or previous interactions.
FAQs
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