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data ai debugging AI Skills

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

Categories: data ai debugging

Showing 649–672 of 5,502

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GitHub

react-best-practices

shapeshift

Comprehensive React and Next.js performance optimization guide with 40+ rules for eliminating waterfalls, optimizing bundles, and improving rendering. Use when optimizing React apps, reviewing performance, or r...

GitHub

wheels-debugging

wheels-dev

Troubleshoot common Wheels errors and provide debugging guidance. Use when encountering errors, exceptions, or unexpected behavior. Provides error analysis, common solutions, and debugging strategies for Wheels...

GitHub

wheels-debugging

wheels-dev

Troubleshoot common Wheels errors and provide debugging guidance. Use when encountering errors, exceptions, or unexpected behavior. Provides error analysis, common solutions, and debugging strategies for Wheels...

GitHub

wheels-anti-pattern-detector

wheels-dev

Automatically detect and prevent common Wheels framework errors before code is generated. This skill activates during ANY Wheels code generation (models, controllers, views, migrations) to validate patterns and...

GitHub

go-performance

caarlos0

Analyze and optimize Go program performance. Use when asked to profile Go code, find performance bottlenecks, analyze memory allocations, detect memory leaks, write benchmarks, or optimize CPU/memory usage.

GitHub

debugging-workflows

mbruhler

Debug workflow execution issues including syntax errors, agent failures, variable problems, and execution errors. Use when workflows fail, produce unexpected results, or user asks for debugging help.

GitHub

debug-prod-issues

different-ai

Debug production issues on Vercel using logs, database inspection, and proper deployment waiting

GitHub

lightweight-design-analysis

NTCoding

This skill analyzes code for design quality improvements across 8 dimensions: Naming, Object Calisthenics, Coupling & Cohesion, Immutability, Domain Integrity, Type System, Simplicity, and Performance. Ensures...

GitHub

observability-first-debugging

NTCoding

Systematic debugging methodology that eliminates guessing and speculation. Add instrumentation to gather specific data that fully explains the problem. Evidence before hypothesis. Observation before solution.

GitHub

lightweight-implementation-analysis-protocol

NTCoding

This skill should be used when fixing bugs, implementing features, debugging issues, or making code changes. Ensures understanding of code flow before implementation by: (1) Tracing execution path with specific...

GitHub

pattern-discovery-capture

PackmindHub

Automatically capture recurring patterns discovered in the codebase during exploration. This skill logs implicit conventions, architectural patterns, and coding practices that are followed consistently but not...

GitHub

implicit-decision-capture

PackmindHub

Automatically capture implicit technical decisions and uncertainties encountered by AI agents during coding work. This skill logs decision points where the agent chose an approach without explicit user guidance...

GitHub

code-review-standards

groupzer0

Code review checklist, severity definitions, and document templates. Load when performing code reviews or defining review criteria.

GitHub

architecture-patterns

groupzer0

Common software architecture patterns, ADR templates, and anti-pattern detection. Supports architectural review, design decisions, and system documentation.

GitHub

code-review

smallnest

Frontend-focused code review skill for React/TypeScript/Tailwind projects. Analyzes code quality, security vulnerabilities (XSS, CSRF), performance issues, accessibility (WCAG), React best practices, hooks usag...

GitHub

tech-stack-detection

rsmdt

Auto-detect project tech stacks (React, Vue, Express, Django, etc.). Recognize package managers and configuration patterns. Use when starting work on any project, analyzing dependencies, or providing framework-...

GitHub

bug-diagnosis

rsmdt

Apply scientific debugging methodology through conversational investigation. Use when investigating bugs, forming hypotheses, tracing error causes, performing root cause analysis, or systematically diagnosing i...

GitHub

performance-analysis

rsmdt

Measurement approaches, profiling tools, optimization patterns, and capacity planning. Use when diagnosing performance issues, establishing baselines, identifying bottlenecks, or planning for scale. Always meas...

GitHub

codebase-navigation

rsmdt

Navigate, search, and understand project structures. Use when onboarding to a codebase, locating implementations, tracing dependencies, or understanding architecture. Provides patterns for file searching with G...

GitHub

code-review

rsmdt

Coordinate multi-agent code review with specialized perspectives. Use when conducting code reviews, analyzing PRs, evaluating staged changes, or reviewing specific files. Handles security, performance, quality,...

GitHub

browsing

obra

Use when you need direct browser control - teaches Chrome DevTools Protocol for controlling existing browser sessions, multi-tab management, form automation, and content extraction via use_browser MCP tool

GitHub

flow-debugging

aiskillstore

4-phase systematic debugging for flow-fix. NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST.

GitHub

react-best-practices

aiskillstore

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

collaborating-with-gemini

renocrypt

Use the Gemini CLI to consult Gemini and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.

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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