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perf-theory-gatherer

Generate data-backed performance hypotheses from git history and code evidence.

1.9k|545|Updated Oct 22, 2025
Search Tags:#performance#generate#git-history#hypotheses#scenario-analysis#code-evidence#hypothesis-output
One-click install
npx skills add https://github.com/ComposioHQ/awesome-claude-plugins --skill perf-theory-gatherer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: perf-theory-gatherer
Source: https://github.com/ComposioHQ/awesome-claude-plugins/tree/main/perf/skills/theory
Command: npx skills add https://github.com/ComposioHQ/awesome-claude-plugins --skill perf-theory-gatherer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineering teams generate data-backed performance hypotheses for a specific scenario by analyzing git history and code changes.

Core Features & Use Cases

  • Generate up to 5 hypotheses with evidence and confidence levels based on historical data.
  • Focus on scenario-driven performance questions and code-path implications.
  • Use case: when evaluating performance regressions after a commit, or when planning optimization efforts.

Quick Start

To use perf-theory-gatherer, run the workflow on a target scenario and review the generated hypotheses with their supporting evidence.

Frequently Asked Questions about perf-theory-gatherer

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

FAQPage Schema
How do I generate performance regression hypotheses from git history?▼

Generate performance hypotheses from git history by analyzing commit data and code evidence to output up to five data-backed hypotheses with confidence levels for scenario analysis.

What is data-backed performance hypothesis generation for scenario analysis?▼

Data-backed performance hypothesis generation uses code evidence and historical git changes to produce up to five guided hypotheses with confidence levels rather than direct optimization suggestions.

How do I identify code paths causing performance regressions after a commit?▼

Identify code paths causing performance regressions by analyzing git history and recent code changes to generate scenario-driven hypotheses supported by historical evidence.

Can I use git history analysis for performance validation during post-change reviews?▼

Yes, git history analysis supports performance validation during post-change reviews by generating up to five hypotheses with evidence and confidence levels based on code changes.

Does performance hypothesis generation provide optimization suggestions for code?▼

No, performance hypothesis generation guides hypothesis creation with evidence and confidence levels rather than providing direct code optimization suggestions for your software project.

What's the best way to analyze code evidence for performance validation?▼

Analyze code evidence for performance validation by running a scenario-driven workflow on git history to generate targeted hypotheses with supporting evidence and confidence levels.

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