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performance-auditor

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Aktualisiert12. Februar 2026 um 03:47

Audit repository performance and benchmark commands. Use when you need to find large files that might slow down the build or measure the execution time of scripts and tests.

Installation

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Quelle

anuragsinghbhandari

anuragsinghbhandari/gitclaw

GitHub-Repository öffnen Creator-Repositorys ansehen

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

Softwarequalitätssicherungsanalysten und -testerInformatik- und Mathematikberufe·SOC 15-1253

Datei-Explorer

3 Dateien

SKILL.md

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name	performance-auditor
description	Audit repository performance and benchmark commands. Use when you need to find large files that might slow down the build or measure the execution time of scripts and tests.

Performance Auditor

Overview

This skill helps identify performance bottlenecks in the codebase or build process.

Tasks

1. Storage Analysis

Check File Sizes: Run scripts/check_file_sizes.sh to find the largest files in the repository (ignoring node_modules and .git).

2. Benchmarking

Benchmark Command: Run scripts/benchmark_command.sh <command> to execute a command 3 times and see the wall-clock time for each run.

Workflow: Optimization

Identify large assets that could be compressed or moved to LFS.
Benchmark slow tests or build steps to establish a baseline.
Apply optimizations and re-benchmark to verify improvements.

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name	performance-auditor
description	Audit repository performance and benchmark commands. Use when you need to find large files that might slow down the build or measure the execution time of scripts and tests.

Performance Auditor

Overview

This skill helps identify performance bottlenecks in the codebase or build process.

Tasks

1. Storage Analysis

Check File Sizes: Run scripts/check_file_sizes.sh to find the largest files in the repository (ignoring node_modules and .git).

2. Benchmarking

Benchmark Command: Run scripts/benchmark_command.sh <command> to execute a command 3 times and see the wall-clock time for each run.

Workflow: Optimization

Identify large assets that could be compressed or moved to LFS.
Benchmark slow tests or build steps to establish a baseline.
Apply optimizations and re-benchmark to verify improvements.