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debug:pandas

Debug Pandas issues systematically. Use when encountering DataFrame errors, SettingWithCopyWarning, KeyError on column access, merge and join mismatches with unexpected NaN values, memory errors with large DataFrames, dtype conversion issues, index alignment problems, or any data manipulation errors in Python data analysis workflows.

snakeo
snakeo
91

debug:pytorch

Debug PyTorch issues systematically. Use when encountering tensor errors, CUDA out of memory errors, gradient problems like NaN loss or exploding gradients, shape mismatches between layers, device conflicts between CPU and GPU, autograd graph issues, DataLoader problems, dtype mismatches, or training instabilities in deep learning workflows.

snakeo
snakeo
91

debug:rails

Debug Rails issues systematically. Use when encountering ActiveRecord errors like RecordNotFound, routing issues, N+1 query problems detected by Bullet, asset pipeline issues, migration failures, gem conflicts, ActionController errors, CSRF token problems, or any Ruby on Rails application errors requiring diagnosis.

snakeo
snakeo
91

debug:react-native

Debug React Native issues systematically. Use when encountering native module errors like "Native module cannot be null", Metro bundler issues including port conflicts and cache corruption, platform-specific build failures for iOS CocoaPods or Android Gradle, bridge communication problems, Hermes engine bytecode compilation failures, red screen fatal errors, or New Architecture migration issues with TurboModules and Fabric renderer.

snakeo
snakeo
91

debug:react

Debug React issues systematically. Use when encountering component errors like "Cannot read property of undefined", infinite re-render loops with "Too many re-renders", stale closures in hooks, key prop warnings, memory leaks with useEffect, hydration mismatches in SSR/SSG applications, hook rule violations, missing dependency warnings, or performance bottlenecks. Covers functional components, hooks, and modern React 18/19 patterns including Server Components and concurrent features.

snakeo
snakeo
91

debug:scikit-learn

Debug Scikit-learn issues systematically. Use when encountering model errors like NotFittedError, shape mismatches between train and test data, NaN/infinity value errors, pipeline configuration issues, convergence warnings from optimizers, cross-validation failures due to class imbalance, data leakage causing suspiciously high scores, or preprocessing errors with ColumnTransformer and feature alignment.

snakeo
snakeo
91

debug:spring-boot

Debug Spring Boot issues systematically. Use when encountering bean errors like NoSuchBeanDefinitionException, circular dependency issues, application startup failures, JPA/Hibernate problems including LazyInitializationException and N+1 queries, security misconfigurations causing 403 Forbidden errors, property binding failures, CSRF token issues, or any Spring Boot application requiring diagnosis with Actuator endpoints and JVM debugging.

snakeo
snakeo
91

debug:svelte

Debug Svelte application issues systematically. This skill helps diagnose and resolve Svelte-specific problems including reactivity failures, runes issues ($state, $derived, $effect), store subscription memory leaks, SSR hydration mismatches, and compiler warnings. Covers both Svelte 4 legacy patterns and Svelte 5 runes-based reactivity. Provides debugging tools like $inspect(), {@debug} tags, and svelte-check CLI usage.

snakeo
snakeo
91

debug:swiftui

Debug SwiftUI application issues systematically. This skill helps diagnose and resolve SwiftUI-specific problems including view update failures, state management issues with @State/@Binding/@ObservedObject, NavigationStack problems, memory leaks from retain cycles, preview crashes, Combine publisher issues, and animation glitches. Provides Xcode debugger techniques, Instruments profiling, and LLDB commands for iOS/macOS development.

snakeo
snakeo
91

debug:tensorflow

Debug TensorFlow and Keras issues systematically. This skill helps diagnose and resolve machine learning problems including tensor shape mismatches, GPU/CUDA detection failures, out-of-memory errors, NaN/Inf values in loss functions, vanishing/exploding gradients, SavedModel loading errors, and data pipeline bottlenecks. Provides tf.debugging assertions, TensorBoard profiling, eager execution debugging, and version compatibility guidance.

snakeo
snakeo
91

debug:terraform

Debug Terraform infrastructure-as-code issues systematically. This skill helps diagnose and resolve Terraform-specific problems including state lock conflicts, provider authentication failures, resource dependency cycles, state drift detection, import failures, module version conflicts, and plan/apply errors. Provides TF_LOG debugging, terraform console usage, state manipulation commands, and CI/CD best practices for infrastructure automation.

snakeo
snakeo
91

debug:vue

Debug Vue.js 3 application issues systematically. This skill helps diagnose and resolve Vue-specific problems including reactivity failures with ref/reactive, component update issues, Pinia store state management problems, computed property caching bugs, Teleport/Suspense rendering issues, and SSR hydration mismatches. Provides Vue DevTools usage, console debugging techniques, Vite dev server troubleshooting, and vue-tsc type checking guidance.

snakeo
snakeo
91

refactor:angular

Refactor Angular code to improve maintainability, readability, and adherence to best practices. Transforms large components, nested subscriptions, and outdated patterns into clean, modern Angular code. Applies signals, standalone components, OnPush change detection, proper RxJS patterns, and Angular Style Guide conventions. Identifies and fixes memory leaks, function calls in templates, fat components, and missing lazy loading.

snakeo
snakeo
91

refactor:django

Refactor Django/Python code to improve maintainability, readability, and adherence to best practices. Transforms fat views, N+1 queries, and outdated patterns into clean, modern Django code. Applies Python 3.12+ features like type parameter syntax and @override decorator, Django 5+ patterns like GeneratedField and async views, service layer architecture, and PEP 8 conventions. Identifies and fixes anti-patterns including mutable defaults, bare exceptions, and improper ORM usage.

snakeo
snakeo
91

refactor:docker

Refactor Docker configurations to improve security, performance, and maintainability. Transforms insecure Dockerfiles and docker-compose files into production-ready containers following 2025 best practices. Implements multi-stage builds, non-root users, pinned image versions, health checks, secrets management, and network segmentation. Fixes common anti-patterns like running as root, hardcoded credentials, missing .dockerignore, and bloated images.

snakeo
snakeo
91

refactor:dotnet

Refactor ASP.NET Core/C# code to improve maintainability, readability, and adherence to best practices. Transforms fat controllers, duplicate code, and outdated patterns into clean, modern .NET code. Applies C# 12 features like primary constructors and collection expressions, SOLID principles, Clean Architecture patterns, and proper dependency injection. Identifies and fixes anti-patterns including service locator, captive dependencies, and missing async/await patterns.

snakeo
snakeo
91

refactor:express

Refactor Express.js/Node.js code to improve maintainability, readability, and adherence to best practices. Transforms callback hell, fat route handlers, and outdated patterns into clean, modern JavaScript/TypeScript code. Applies async/await, controller-service-repository architecture, proper middleware patterns, and ESM modules. Identifies and fixes anti-patterns including blocking event loop, improper error handling, forEach with async callbacks, and memory leaks.

snakeo
snakeo
91

refactor:fastapi

Refactor FastAPI/Python code to improve maintainability, readability, and adherence to best practices. This skill transforms working code into exemplary code following FastAPI patterns, Pydantic v2, and SOLID principles. It addresses fat route handlers, blocking I/O in async routes, code duplication, deep nesting, missing type hints, and improper dependency injection. Apply when you notice business logic in routes, Pydantic v1 patterns, or code violating PEP 8 conventions.

snakeo
snakeo
91

refactor:flask

Refactor Flask code to improve maintainability, readability, and adherence to best practices. This skill transforms Flask applications using the application factory pattern, Blueprint organization, and service layer separation. It addresses fat route handlers, missing error handling, improper context local usage, and security issues. Apply when you notice global app instances, routes without Blueprints, business logic in handlers, or missing CSRF protection.

snakeo
snakeo
91

refactor:flutter

Refactor Flutter/Dart code to improve maintainability, readability, and performance. This skill applies Dart 3 features like records, patterns, and sealed classes, implements proper state management with Riverpod or BLoC, and uses Freezed for immutable models. It addresses monolithic widgets, missing const constructors, improper BuildContext usage, and deep nesting. Apply when you notice widgets doing too much, performance issues from unnecessary rebuilds, or legacy Dart 2 patterns.

snakeo
snakeo
91

refactor:kubernetes

Refactor Kubernetes configurations to improve security, reliability, and maintainability. This skill applies defense-in-depth security principles, proper resource constraints, and GitOps patterns using Kustomize or Helm. It addresses containers running as root, missing health probes, hardcoded configs, and duplicate YAML across environments. Apply when you notice security vulnerabilities, missing Pod Disruption Budgets, or :latest image tags in production.

snakeo
snakeo
91

refactor:laravel

Refactor PHP/Laravel code to improve maintainability, readability, and adherence to best practices. This skill transforms code using modern PHP 8.3+/8.4+ features like property hooks and typed constants, Laravel 11+ patterns including Actions and simplified structure, and SOLID principles. It addresses fat controllers, code duplication, N+1 queries, and missing type declarations. Apply when you notice business logic in controllers or legacy PHP patterns.

snakeo
snakeo
91

refactor:nestjs

Refactor NestJS/TypeScript code to improve maintainability, readability, and adherence to best practices. Identifies and fixes circular dependencies, god object services, fat controllers with business logic, deep nesting, and SRP violations. Applies NestJS patterns including proper module organization, provider scopes, custom decorators, guards, interceptors, pipes, DTOs with class-validator, exception filters, CQRS, repository pattern, and event-driven architecture. Transforms code into exemplary implementations following SOLID principles.

snakeo
snakeo
91

refactor:nextjs

Refactor Next.js code to improve maintainability, readability, and adherence to App Router best practices. Identifies and fixes God Components, prop drilling, inappropriate 'use client' usage, outdated Pages Router patterns, missing Suspense boundaries, incorrect caching strategies, and useEffect data fetching anti-patterns. Applies modern Next.js 15 patterns including Server Components, Client Components, Server Actions, streaming with Suspense, proper caching strategies, Container-Presentational pattern, layout composition, parallel routes, and intercepting routes.

snakeo
snakeo
91

refactor:nuxtjs

Refactor Nuxt.js/Vue code to improve maintainability, readability, and adherence to best practices. Identifies and fixes DRY violations, oversized components, deep nesting, SRP violations, data fetching anti-patterns with useFetch/useAsyncData/$fetch, poor composable organization, and mixed business/presentation logic. Applies Nuxt 3 patterns including auto-imports, proper data fetching, single-responsibility composables, TypeScript integration, runtime config, Nitro server routes, Nuxt Layers, middleware patterns, Pinia state management, and performance optimizations.

snakeo
snakeo
91

refactor:pandas

Refactor Pandas code to improve maintainability, readability, and performance. Identifies and fixes loops/.iterrows() that should be vectorized, overuse of .apply() where vectorized alternatives exist, chained indexing patterns, inplace=True usage, inefficient dtypes, missing method chaining opportunities, complex filters, merge operations without validation, and SettingWithCopyWarning patterns. Applies Pandas 2.0+ features including PyArrow backend, Copy-on-Write, vectorized operations, method chaining, .query()/.eval(), optimized dtypes, and pipeline patterns.

snakeo
snakeo
91

refactor:pytorch

Refactor PyTorch code to improve maintainability, readability, and adherence to best practices. Identifies and fixes DRY violations, long functions, deep nesting, SRP violations, and opportunities for modular components. Applies PyTorch 2.x patterns including torch.compile optimization, Automatic Mixed Precision (AMP), optimized DataLoader configuration, modular nn.Module design, gradient checkpointing, CUDA memory management, PyTorch Lightning integration, custom Dataset classes, model factory patterns, weight initialization, and reproducibility patterns.

snakeo
snakeo
91

refactor:rails

Refactor Ruby on Rails code to improve maintainability, readability, and adherence to best practices. This skill transforms messy Rails code into elegant, well-structured solutions following Rails conventions and modern Ruby best practices. It addresses fat controllers and models, extracts business logic into service objects, applies DRY principles, uses concerns for shared behavior, implements query objects for complex database operations, and leverages Rails 8 and Ruby 3.3+ features including pattern matching and Data classes.

snakeo
snakeo
91

refactor:react-native

Refactor React Native and TypeScript code to improve maintainability, readability, and performance for cross-platform mobile applications. This skill transforms complex mobile code into clean, well-structured solutions following React Native New Architecture patterns including Fabric, TurboModules, and JSI. It addresses FlatList performance issues, prop drilling, platform-specific code organization, and inline styles. Leverages Expo SDK 52+ features, React Navigation v7, and Reanimated for smooth 60fps animations.

snakeo
snakeo
91

refactor:react

Refactor React and TypeScript code to improve maintainability, readability, and performance. This skill transforms complex React components into clean, well-structured code following modern React 19 patterns. It addresses component bloat, prop drilling, unnecessary re-renders, and improper hook usage. Leverages React 19 features including the React Compiler for automatic memoization, Actions for form handling, useOptimistic for immediate UI feedback, the use() hook for async data, and Server Components for optimal performance.

snakeo
snakeo
91

refactor:scikit-learn

Refactor Scikit-learn and machine learning code to improve maintainability, reproducibility, and adherence to best practices. This skill transforms working ML code into production-ready pipelines that prevent data leakage and ensure reproducible results. It addresses preprocessing outside pipelines, missing random_state parameters, improper cross-validation, and custom transformers not following sklearn API conventions. Implements proper Pipeline and ColumnTransformer patterns, systematic hyperparameter tuning, and appropriate evaluation metrics.

snakeo
snakeo
91

refactor:spring-boot

Refactor Spring Boot and Java code to improve maintainability, readability, and adherence to enterprise best practices. This skill transforms messy Spring Boot applications into clean, well-structured solutions following SOLID principles and Spring Boot 3.x conventions. It addresses fat controllers, improper transaction boundaries, field injection anti-patterns, and scattered configuration. Leverages Java 21+ features including record patterns, pattern matching for switch, virtual threads, and sequenced collections.

snakeo
snakeo
91

wechat-miniprogram-skill

Expert guidelines for Native WeChat Mini Program development focusing on performance, code size, and native compatibility. Use when developing WeChat Mini Programs in native JavaScript.

gourdbaby
gourdbaby
9

elite-powerpoint-designer

Create world-class PowerPoint presentations with professional design, consistent branding, sophisticated animations, and polished visual hierarchy. Use when users request presentations, slide decks, pitches, reports, or want to convert markdown to professionally designed PowerPoint with Apple/Microsoft/Google-level quality.

willem4130
willem4130
95

linting

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jiatastic
jiatastic
91

pydantic

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jiatastic
jiatastic
91

logfire

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jiatastic
jiatastic
91

excalidraw-ai

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jiatastic
jiatastic
91

ty-skills

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jiatastic
jiatastic
91

commit-message

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jiatastic
jiatastic
91

python-backend

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jiatastic
jiatastic
91

error-handling

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jiatastic
jiatastic
91

aesthetic-guide

Research a UI design aesthetic and produce exhaustive, implementation-ready design guidelines for coding agents. Use when the user names an aesthetic (brutalist, glassmorphism, retro-futuristic, Swiss modernist, Apple HIG, neumorphism, minimalism, cyberpunk, Material Design, art deco, vaporwave, etc.) and wants a complete style guide with exact CSS values, color palettes, component states, animations, and typography — detailed enough for a coding agent to faithfully implement the aesthetic with zero ambiguity.

petekp
petekp
92

agent-telemetry

Make application behavior visible to coding agents by exposing structured logs and telemetry. Use when asked to "add telemetry", "make logs accessible to agents", "add observability", "debug with logs", or when an agent needs to understand runtime behavior but has no way to query logs. Also use when debugging is difficult because there are no structured logs, when agent docs (CLAUDE.md, AGENTS.md) lack instructions for querying application logs, or when setting up logging infrastructure for a new or existing web application.

petekp
petekp
92

agent-changelog

Compile an agent-optimized changelog by cross-referencing git history with plans and documentation. Use when asked to "update changelog", "compile history", "document project evolution", or proactively after major milestones, architectural changes, or when stale/deprecated information is detected that could confuse coding agents.

petekp
petekp
92

dead-code-sweep

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petekp
petekp
92

exhaustive-systems-analysis

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petekp
petekp
92

docs-changelog

Write changelog entries for open source documentation sites using Keep a Changelog format. Use when asked to "write a changelog", "update the changelog", "add changelog entry", "document recent changes", or after a release/set of changes that should be recorded. Reviews git commits since the last changelog entry and produces a categorized, human-readable entry.

petekp
petekp
92

write-goal

Compile a plain-language task into a concise, auditable Codex or Claude Code `/goal`, or explain why a normal prompt fits better. Use when the user asks to draft, formulate, rewrite, tighten, or create a goal for multi-step work that needs a durable objective, transcript-visible proof, constraints, bounded stop conditions, host-aware operation, and risk-based review depth.

petekp
petekp
92

fixer

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petekp
petekp
92

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.