An advanced code analysis tool designed to identify performance bottlenecks, calculate algorithmic complexity, and provide actionable optimization suggestions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install performance-profiler
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 performance-profiler 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 Performance Profiler?
The Performance Profiler is a sophisticated diagnostic tool integrated into the Openclaw Skills ecosystem. It serves as a dedicated auditor for your codebase, specifically targeting inefficiencies that lead to slow execution times or high resource consumption. By leveraging this skill, developers can automatically scan their scripts for loop-based performance issues, redundant logic, and synchronous blocking calls that often escape manual reviews.
As part of the broader suite of Openclaw Skills, this profiler doesn't just find problems; it quantifies them. It provides a technical health score and determines algorithmic complexity (Big O notation), allowing teams to prioritize refactoring efforts based on measurable impact. Whether you are dealing with legacy code or new features, this skill ensures your software remains performant and scalable.
Performance Profiler Use Cases
- Identifying inefficient array operations and push logic within nested loops.
- Auditing large codebases for synchronous blocking operations that impact concurrency.
- Detecting redundant function calls and repeated heavy calculations to improve CPU usage.
- Screening for potential memory leak risks in long-running applications using Openclaw Skills.
- Benchmarking code complexity during the development phase to prevent technical debt.
How Performance Profiler Works
- Activation: The user triggers the profiler through natural language commands or specific keywords such as performance analysis or optimization suggestions.
- Static Analysis: The Openclaw Skills engine parses the target source code to build an abstract representation of logic flow.
- Pattern Matching: The profiler searches for known anti-patterns, such as O(n²) loops or blocking I/O in async contexts.
- Complexity Scoring: It calculates the computational complexity and assigns a performance score based on industry standards.
- Report Generation: A detailed JSON report is produced, pinpointing the exact line numbers and suggesting specific code improvements.
Performance Profiler Setup
To enable the Performance Profiler within your environment, ensure you have the core Openclaw Skills framework installed. You can add the profiler using the following command:
openclaw install performance-profiler
Once installed, you can invoke the profiler by asking your agent to perform a performance analysis on specific files or directories.
Performance Profiler Data Schema & Taxonomy
The Performance Profiler generates structured output to allow seamless integration with other developer tools. The schema includes:
| Property | Type | Description |
|---|---|---|
| issues | array | A list containing the type of issue, line location, and fix suggestion. |
| complexity | string | The estimated Big O complexity (e.g., O(n), O(n²)). |
| score | number | A numeric performance rating from 0 to 100. |
Example result structure:
- type: The category of the performance hit (e.g., loop_push).
- location: The specific line number in the source file.
- suggestion: Recommended refactored code or logic change.
Performance Profiler Advanced Features
- Intelligent identification of memory leak risks in closure-heavy code.
- Automated complexity calculation using Openclaw Skills heuristic engines.
- Real-time optimization suggestions that can be directly applied by AI coding agents.
- Support for multi-language performance profiling including JavaScript, Python, and more.
SKILL.md
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