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Skills IA research debugging

Découvrez les skills research debugging, comparez leurs dépôts et consultez leurs instructions.

Catégories: research debugging

4,201–4,224 sur 6,118

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GitHub

language-environment-configuration

aaronbassett

This skill should be used when detecting programming languages in projects, determining language versions from config files, installing development environments (Rust, Python, Node.js), setting up LSP servers,...

GitHub

code-review

aaronbassett

Comprehensive code review guidance for quality, performance, and architecture across all programming languages. Use when (1) User explicitly requests code review, (2) After writing significant code changes, (3)...

GitHub

agent-ops-critical-review

weholt

Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and design issues. Not tied to baseline—this is pure code analysis.

GitHub

agent-ops-create-technical-docs

weholt

Create focused, specific technical documentation for codebase sections. Analyzes code, identifies topics, presents options before writing. Supports code blocks with line numbers.

GitHub

reviewer

scottymcandrew

Code review specialist. Use when code needs review, before merging changes, or to assess code quality. Provides structured feedback with severity levels.

GitHub

code-review

Who-Visions

Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.

GitHub

code-commentary-standards

AmnadTaowsoam

Standards for writing effective code comments that explain "why" code exists, helping future developers and AI agents understand intent, context, and reasoning behind code decisions.

GitHub

personalresearch-codebase

f1sherman

Conduct comprehensive codebase research by spawning parallel sub-agents and generating documentation. Use when the user asks how the current system works or requests a codebase deep dive.

GitHub

personalresearch-codebase

f1sherman

Conduct comprehensive codebase research and generate documentation. Use when the user asks how the current system works or requests a codebase deep dive.

GitHub

webapp-testing

lewbei

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

GitHub

dashboard-design

AmnadTaowsoam

Creating visual displays of key metrics and data points that provide at-a-glance insights for monitoring, analysis, and data-driven decision-making.

GitHub

game-analytics

AmnadTaowsoam

Tracking player behavior and game performance through metrics, event tracking, funnel analysis, retention metrics, and integration with analytics platforms for data-driven game development.

GitHub

chrome-devtools

ajbeck

Full API reference for Chrome DevTools browser automation. Use when automating browsers, taking screenshots, web scraping, testing web apps, or debugging performance.

GitHub

worker-task-memory

feliperyba

Task memory management for retrospective contributions. Use to track good points, pain points, and decisions during task execution.

GitHub

pm-organization-task-research

feliperyba

Codebase research specialist for PM task assignment. Use proactively before assigning tasks to understand existing patterns, dependencies, and implementation approaches.

GitHub

web-dev-assist

ajbeck

Unified workflow for web app development using Chrome DevTools + Peekaboo. Use when testing web UIs, debugging layouts, or automating browser interactions.

GitHub

ubs-scanner

terraphim

Run Ultimate Bug Scanner for automated bug detection across multiple languages. Detects 1000+ bug patterns including null pointers, security vulnerabilities, async/await issues, and resource leaks. Integrates w...

GitHub

pinpoint-testing

timothyfroehlich

Testing strategy, test pyramid (70% unit/25% integration/5% E2E), PGlite patterns, Playwright best practices. Use when writing tests, debugging test failures, or when user mentions testing/test/spec/E2E.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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