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Skills IA data ai debugging

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

Catégories: data ai debugging

5,305–5,328 sur 5,502

data ai debugging Effacer les filtres

Explorer

GitHub

error-analysis

jayteealao

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

GitHub

emacs-debugging

jingtaozf

Debug Emacs Lisp code using edebug, trace, profiler, and error handling - use when encountering elisp errors or performance issues

GitHub

scicode-fix

tkhongsap

Analyze and fix "ineffective" subproblems in SciCode benchmark. Classify issues as MAJOR or MINOR, apply minimal fixes to MAJOR issues. Use when "analyze subproblem", "classify issue", "fix benchmark problem",...

GitHub

reviewing-code

nickstrad

Reviews code changes in the Nick Stack codebase, checking for tech stack patterns, security, type safety, and best practices. Use when reviewing PRs, commits, or code changes.

GitHub

review

rchanda1392

Comprehensive code review with failure scenario analysis, security checks, and prioritized fix suggestions. Use after /execute to validate implementation quality.

GitHub

react-best-practices

josh-cooper

React and Next.js performance optimization guidelines from the React community. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Trigg...

GitHub

code-review

biobenkj

Review code for implementation correctness, scalability, and production readiness. Use when reviewing PRs, auditing code quality, checking for performance issues, or evaluating production readiness. Triggers on...

GitHub

js-worker-multithreading

deadronos

Implement, refactor, or review worker-based multithreading in TypeScript/JavaScript apps (browser or Node). Use when offloading CPU-heavy loops to Web Workers, setting up a worker pool, moving data across threa...

GitHub

typescript

toilahuongg

Best practices and guidelines for TypeScript (2025-2026 Edition), focusing on TS 5.x+, modern type safety, and performance.

GitHub

filamentphp-testing

habibGamal

Expert knowledge for testing FilamentPHP 4.x resources, tables, schemas, actions, and notifications using Pest and Livewire. Use this skill when writing or debugging tests for FilamentPHP components, implementi...

GitHub

performance

dtbuchholz

Optimize code for speed and efficiency. Use this skill when profiling, identifying bottlenecks, or improving performance. Covers profiling tools, common patterns, and optimization strategies.

GitHub

systematic-debugging

PhantasticUniverse

Four-phase debugging methodology for finding and fixing bugs. Use when debugging issues, investigating errors, fixing crashes, or troubleshooting problems.

GitHub

react-best-practices

masteryyh

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Trigge...

GitHub

package-scout

greentcsolutions-lab

Researches and recommends new npm packages, versions, and alternatives for Next.js + TypeScript projects. Use when looking for libraries you don't have yet, comparing options, checking latest versions, or scout...

GitHub

code-review

mahmoudfarahat2647

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

GitHub

stack-detection

breeze4

Detect project tech stack, build tools, test frameworks, CI/CD, and code quality tools. Use when you need to know how to build, test, lint, or run a project.

GitHub

designing-ui-ux

OTSOU-CODE

Comprehensive framework for designing, auditing, and improving Web Design and UI/UX. Use this skill when the user asks to "design", "audit", "improve", or "review" the visual or experiential aspects of an appli...

GitHub

systematic-debugging

createdbysalt

Four-phase debugging methodology with root cause analysis. Use when investigating bugs, fixing test failures, or troubleshooting unexpected behavior. Emphasizes NO FIXES WITHOUT ROOT CAUSE FIRST.

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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