A high-performance Rust reimplementation of Claude Code for AI-assisted coding, refactoring, and interactive debugging.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pansclaw-code
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 pansclaw-code 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 PansClaw Code?
PansClaw Code is a sophisticated Rust-based CLI tool designed to bring the power of AI-driven development directly to your local machine. As a specialized entry in the Openclaw Skills library, it serves as a robust alternative for developers who need high-speed, local AI coding assistance. The tool allows users to delegate complex tasks—such as code generation, deep refactoring, and logical debugging—to a variety of language models, supporting both privacy-focused local execution and high-performance cloud APIs.
PansClaw Code Use Cases
- Delegating entire code writing or refactoring tasks to an autonomous AI agent.
- Using an interactive REPL mode for real-time exploratory coding and troubleshooting.
- Integrating automated AI coding workflows into local development environments using Openclaw Skills.
- Executing coding requests using local LLMs via Ollama to ensure data privacy and offline availability.
How PansClaw Code Works
- The skill first verifies the presence of the PansClaw Code binary in the local environment.
- If the binary is missing or requires an update, it triggers an automated build process using the Cargo package manager.
- The user selects a preferred provider (such as Ollama for local or Anthropic for cloud) and the specific model to be used.
- The system executes the claw command with relevant flags like --dangerously-skip-permissions for seamless operation.
- The AI processes the request within the local project context and returns the generated code or technical analysis to the user.
PansClaw Code Setup
1. Build the Binary
First-time setup requires building the Rust source code:
cd "/path/to/claw-code-main/rust"
cargo build -p claw-cli --release
2. Configure Environment
Set up your preferred API keys for cloud providers:
export MINIMAX_API_KEY="your-key"
export ANTHROPIC_API_KEY="sk-ant-..."
3. Verify Local Models
Ensure Ollama is running if you prefer local execution within the Openclaw Skills framework:
ollama list
PansClaw Code Data Schema & Taxonomy
The skill manages its execution environment and model parameters through a structured CLI interface:
| Component | Details |
|---|---|
| Binary Location | Typically symlinked to ~/.local/bin/claw |
| Providers Supported | ollama, minimax, openai, anthropic |
| Permission Handling | Uses --dangerously-skip-permissions for automated task execution |
| Output Modes | Supports standard interactive REPL or non-interactive --print mode |
PansClaw Code Advanced Features
- Native support for local Ollama models including mistral-small:24b, qwen3, and codellama.
- Automated build-and-run lifecycle management to ensure the CLI tool is always up to date.
- Flexible provider switching, allowing developers to balance between local privacy and cloud-based reasoning power.
- Headless execution capabilities optimized for integration within broader Openclaw Skills automation pipelines.
- Specialized flags for non-interactive output, making it ideal for scripting and CI/CD tasks.
SKILL.md
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