A post-development optimization skill that streamlines code by identifying duplication, inefficiency, and architectural smells before finalization.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-simplify
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 code-simplify using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Code Simplifier is a specialized utility within the Openclaw Skills ecosystem designed to act as a final gatekeeper for code quality. It focuses on reviewing recently modified files or diffs to ensure that new logic adheres to best practices, reuses existing utility functions, and avoids common pitfalls like parameter sprawl or leaky abstractions.
By integrating this skill into your workflow, you can prevent technical debt from accumulating during AI-assisted development. It strikes a balance between performance and readability, ensuring that every change is intentional and efficient without introducing unnecessary stylistic churn. It is an essential component for teams using Openclaw Skills to maintain high standards in fast-moving codebases.
To enable Code Simplifier in your environment, ensure you have the Openclaw Skills package correctly configured. You can trigger the simplification workflow directly via your AI agent or by using a CLI command that targets your latest changes:
# Example of triggering the simplification workflow on a specific diff
openclaw run code_simplifier --target=current_diff
The skill processes diff data and file content to generate optimized code structures. It organizes its evaluation based on the following taxonomy:
| Component | Description |
|---|---|
| Inputs | File diffs, modified source code, and optional focus parameters (e.g., performance). |
| Analysis Engine | Scans for reusability, code smells, and efficiency bottlenecks. |
| Outputs | Refactored source code and a short summary of specific improvements made. |
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