perf-code-paths
A utility to list relevant code paths and entrypoints for performance analysis scenarios.
Install
mkdir -p .claude/skills/perf-code-paths && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6868" && unzip -o skill.zip -d .claude/skills/perf-code-paths && rm skill.zipInstalls to .claude/skills/perf-code-paths
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use when mapping code paths, entrypoints, and likely hot files before profiling.Key capabilities
- →Map code paths
- →Identify entrypoints
- →List hot files
- →Trace call chains
How it works
It maps repository structure and call chains to identify high-impact files for performance profiling.
Inputs & outputs
When to use perf-code-paths
- →Identify entrypoints for profiling
- →Map hot code paths for optimization
- →List relevant symbols for performance analysis
About this skill
perf-code-paths
Identify likely implementation paths for a performance scenario.
Follow docs/perf-requirements.md as the canonical contract.
Required Steps
- Use repo-map if available; otherwise use grep for entrypoints and handlers.
- List top candidate files/symbols tied to the scenario.
- Include imports/exports or call chains when relevant.
Output Format
keywords: <comma-separated list>
paths:
- file: <path>
symbols: [<symbol1>, <symbol2>]
evidence: <short reason>
Constraints
- Focus only on supported languages (Rust, Java, JS/TS, Go, Python).
- Keep to the most relevant 10-15 files.
When not to use it
- →General code refactoring
Prerequisites
Limitations
- →Limited to 10-15 files
- →Supports specific languages only
How it compares
It focuses specifically on performance-related entrypoints rather than general code navigation.
Compared to similar skills
perf-code-paths side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| perf-code-paths (this skill) | 1 | 6mo | No flags | Intermediate |
| managing-api-cache | 2 | 27d | Review | Advanced |
| perf | 0 | 2mo | Review | Advanced |
| vercel-known-pitfalls | 1 | 27d | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by ComposioHQ
View all by ComposioHQ →You might also like
managing-api-cache
jeremylongshore
Implement intelligent API response caching with Redis, Memcached, and CDN integration. Use when optimizing API performance with caching. Trigger with phrases like "add caching", "optimize API performance", or "implement cache layer".
perf
microsoft
Speed and memory performance rules for Rust crates, webui-framework, and webui-router.
vercel-known-pitfalls
jeremylongshore
Execute identify and avoid Vercel anti-patterns and common integration mistakes. Use when reviewing Vercel code for issues, onboarding new developers, or auditing existing Vercel integrations for best practices violations. Trigger with phrases like "vercel mistakes", "vercel anti-patterns", "vercel pitfalls", "vercel what not to do", "vercel code review".
code-review
xiaoshicae
代码审查（全栈）
workflow-orchestration-patterns
wshobson
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
agentscope-java
agentscope-ai
Expert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration, agent orchestration, multi-agent systems, or when the user mentions AgentScope, ReActAgent, Mono/Flux, Project Reactor, or Java agent development. Specializes in non-blocking code, tool integration, hooks, pipelines, and production-ready agent applications.