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research debugging AI Skills

Discover research debugging skills, compare source repositories and read the instructions for each workflow.

Categories: research debugging

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GitHub

product-roast

laurenj3250-debug

Comprehensive product audit skill combining brutal UX/code roasting with behavioral psychology-informed vision crafting. Use when analyzing apps to find bugs, missed opportunities, and transformative improvemen...

GitHub

pro

laurenj3250-debug

Professional engineering skill combining senior engineer thinking patterns, adaptive task assessment, and Google-grade standards. Invoke with /pro before any coding task to ensure production-quality work with p...

GitHub

layout-composition-critic

laurenj3250-debug

Critique UI layouts and provide specific, actionable fixes. Use when something feels off but you can't articulate why, before finalizing designs, or after adding new components. Outputs diagnosis of visual hier...

GitHub

systematic-debugging

nandkapadia

Four-phase structured debugging methodology. Use when (1) tests fail unexpectedly, (2) functions produce wrong values, (3) systems show anomalous results, (4) unexpected errors appear, (5) performance regresses...

GitHub

code-reviewer

tariron

Expert code review for Python, microservices, security, and production best practices. Automatically activated when code review is needed to identify bugs, security issues, and quality problems.

GitHub

tabz-mcp

GGPrompts

Control Chrome browser via 71 MCP tools - screenshots, clicks, forms, downloads, network capture, TTS, history, cookies, emulation. Use when working with browser automation.

GitHub

pr-review-loop

dundas

Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.

GitHub

pr-review-loop

dundas

Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.

GitHub

pr-review-loop

dundas

Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.

GitHub

user-journey-mapper

dundas

Map user flows and journeys through your application for UX design and workflow visualization, independent of testing.

GitHub

invoking-subagents

jeninh

Spawns subagents with configurable tool access that return just the answers without flooding your context. Use for summarizing extensive git history, comparing across multiple repositories in parallel, or proce...

GitHub

code-quality

tylermorganme

Run code quality checks including duplication detection (jscpd), unused dependency analysis (depcheck), and complexity metrics. Use when the user asks to check code quality, find duplicate code, detect copy-pas...

GitHub

ast-query

tylermorganme

Query TypeScript codebase structure. Use when asking "what does X contain?", "where is X defined?", "what calls X?", or exploring type/interface/function definitions. Answers structural questions by parsing act...

GitHub

exploring-codebase

Sun-Lab-NBB

Performs in-depth codebase exploration at the start of a coding session. Builds comprehensive understanding of project structure, architecture, key components, and patterns. Use when starting a new session, whe...

GitHub

coihuin-compress

mabrax

Context compression for long coding sessions. Creates checkpoints (state snapshots) and maintains them as you work.

GitHub

nextjs-neon-performance-optimizer

abdoulayesow

Comprehensive performance analysis and optimization for Next.js applications using Neon Postgres. Identifies bottlenecks across frontend, backend, and database layers.

GitHub

error-analysis

jayteealao

This skill should be used when analyzing errors, stack traces, and logs to identify root causes and implement fixes.

GitHub

context-building

jonit-dev

Systematic codebase investigation before addressing issues. Use when you need to build comprehensive understanding of a problem area.

GitHub

cloudflare-workers

jonit-dev

Optimize code for Cloudflare Workers free plan with 10ms CPU limit. Use when writing API routes, server code, middleware, or discussing performance optimization.

GitHub

pr-review

jonit-dev

Structured PR review with scoring, bug detection, and actionable feedback. Use when reviewing pull requests or code changes.

GitHub

performance-analyzer

lexicalninja

Analyzes code for performance issues including inefficient algorithms, unnecessary computations, memory leaks, large file sizes, slow queries, and missing caching. Returns structured performance issue reports w...

GitHub

bug-detector

lexicalninja

Detects bugs, logic errors, and edge case handling issues in code. Use when reviewing code for runtime errors, null/undefined handling, type errors, and edge cases. Returns structured bug reports with file path...

GitHub

resource-optimizer

lexicalninja

Optimizes resource usage and makes decisions about when to optimize existing resources vs. add new resources. Use when you need to improve efficiency, balance resource usage, or decide between optimization and...

GitHub

architecture-reviewer

lexicalninja

Reviews code architecture for design issues including poor separation of concerns, tight coupling, missing abstractions, design pattern violations, scalability concerns, and maintainability issues. Returns stru...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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