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perf-code-paths

Map code paths and entrypoints to identify hot files and call chains.

1.9k|545|Updated Oct 22, 2025
Search Tags:#performance#analysis#profiling#code-paths#entrypoints#call-chains
One-click install
npx skills add https://github.com/ComposioHQ/awesome-claude-plugins --skill perf-code-paths
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: perf-code-paths
Source: https://github.com/ComposioHQ/awesome-claude-plugins/tree/main/perf/skills/code-paths
Command: npx skills add https://github.com/ComposioHQ/awesome-claude-plugins --skill perf-code-paths

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill maps code paths and entrypoints to guide profiling efforts, reducing guesswork and speeding optimization.

Core Features & Use Cases

  • Path mapping: Identify likely implementation paths and entrypoints to focus profiling.
  • Candidate listing: Produce a concise list of top files and symbols with evidence.
  • Use Case: Imagine profiling a microservice in Go or a Node.js app; this Skill highlights the top hot files and call chains to inspect first.

Quick Start

Run perf-code-paths on your repository to generate a prioritized list of candidate files and symbols for profiling.

Frequently Asked Questions about perf-code-paths

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find hot code paths and entrypoints for profiling?▼

Identifying entrypoints for profiling requires scanning available repository maps to trace call chains, producing a structured list of the 10-15 most relevant candidate files with symbols and evidence.

Can I analyze code paths for performance issues in Go and Python?▼

Yes, you can analyze code paths for performance issues across Rust, Java, JS/TS, Go, and Python to identify likely implementation paths and focus your profiling efforts.

What is the best way to identify hot files before starting performance profiling?▼

The best way to identify hot files is by mapping code paths and entrypoints to generate a concise candidate listing of top files and symbols with evidence, reducing guesswork.

Does perf-code-paths work without external profiling dependencies?▼

Yes, perf-code-paths operates with no external dependencies, using available repo maps or entry-point scans to guide your performance profiling efforts directly.

How many candidate files does the code path analysis produce?▼

The code path analysis produces a structured list focusing on the 10-15 most relevant candidate files, complete with symbols and evidence to guide profiling.

When should I map code paths instead of running a profiler directly?▼

Mapping code paths is essential when you need to reduce guesswork by identifying likely implementation paths and entrypoints first, ensuring your profiler targets the correct hot files and call chains.

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