Development skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

push-notification

Expert push notification systems covering APNs/FCM integration, notification channels, rich notifications, silent notifications, notification grouping, deep linking, scheduling, analytics, opt-in strategies, and delivery optimization. Use when the user asks about push notification, push notification best practices, or needs guidance on push notification implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos
Development
GitHub

python-async-patterns

Guides expert-level Python async and concurrent programming: asyncio event loop, async/await patterns, threading vs multiprocessing decision tree, GIL implications, async context managers, and concurrent task management. Covers when to use each concurrency primitive. Use when the user asks about Python async programming, asyncio, threading vs multiprocessing, GIL behavior, async context managers, or concurrent Python execution. Do NOT use when the user asks about Python project setup (use `python-project-setup`), testing async code (use `python-testing-patterns`), or general performance optimization (use `python-performance`).

543 repo starsObserved in 2 repos
Development
GitHub

python-data-modeling

Guides expert-level Python data modeling: Pydantic v2 model design, dataclass vs Pydantic decision tree, TypedDict for API contracts, validation patterns, serialization strategies, and schema evolution. Covers designing data structures that enforce correctness at runtime. Use when the user asks about Pydantic models, data validation in Python, dataclass vs Pydantic decisions, TypedDict, or serialization and deserialization patterns. Do NOT use when the user asks about Python project setup (use `python-project-setup`), type system features like generics (use `python-type-system`), or general idioms (use `python-idioms`).

543 repo starsObserved in 2 repos
Development
GitHub

python-data-scientist

Guide for applied machine learning with scikit-learn covering feature engineering, model selection, pipeline construction, evaluation, hyperparameter tuning, and production-ready model patterns. Use when the user asks about python data scientist, related techniques, best practices, or needs guidance in this domain. Do NOT use when the request is outside the scope of python data scientist or requires a different specialized skill.

543 repo starsObserved in 2 repos
Development
GitHub

python-error-handling

Guides expert-level Python error handling: exception hierarchy design, custom exception classes, contextlib patterns, structured logging integration, error propagation strategies, and recovery patterns. Covers designing error handling that makes debugging faster. Use when the user asks about Python exception handling, designing custom exceptions, error propagation, logging strategy, or structuring error recovery in Python applications. Do NOT use when the user asks about Python project setup (use `python-project-setup`), async-specific error handling (use `python-async-patterns`), or language-agnostic error patterns (check framework-specific skills).

543 repo starsObserved in 2 repos
Development
GitHub

python-idioms

Teaches expert-level Python idiomatic patterns: comprehensions, generators, dataclasses, protocols, structural pattern matching, and context managers. Focuses on writing Pythonic code that leverages the language strengths rather than translating patterns from other languages. Use when the user asks about Pythonic patterns, list comprehensions, generators, dataclasses vs named tuples, protocols, pattern matching, context managers, or idiomatic Python code style. Do NOT use when the user asks about project setup (use `python-project-setup`), testing (use `python-testing-patterns`), async programming (use `python-async-patterns`), or type system features (use `python-type-system`).

543 repo starsObserved in 2 repos
Development
GitHub

python-project-setup

Guides expert-level Python project initialization with modern tooling: pyproject.toml configuration, uv for dependency management, src layout decisions, mypy strict mode, and ruff for linting/formatting. Use when the user asks about starting a new Python project, structuring a Python package, configuring pyproject.toml, choosing between src layout and flat layout, setting up Python dependency management, or configuring Python linting and type checking from scratch. Do NOT use when the user asks about Python language features or syntax (use `python-idioms`), Python testing setup (use `python-testing-patterns`), Python async programming (use `python-async-patterns`), or Python data modeling with Pydantic (use `python-data-modeling`).

543 repo starsObserved in 2 repos
Development
GitHub

python-type-system

Guides advanced Python type system usage: generic types with TypeVar, Protocol for structural subtyping, ParamSpec for decorator typing, TypeVarTuple for variadic generics, runtime vs static type checking tradeoffs, and py.typed marker for library distribution. Use when the user asks about Python generics, TypeVar, Protocol, ParamSpec, overload decorators, type narrowing, or distributing typed Python libraries. Do NOT use when the user asks about basic type annotations (use `python-idioms`), data validation (use `python-data-modeling`), or project setup (use `python-project-setup`).

543 repo starsObserved in 2 repos
Development
GitHub

rate-limiter-designer

Rate limiting expertise covering token bucket, sliding window, fixed window, and leaky bucket algorithms, distributed rate limiting, API quota management, graceful degradation, client-friendly responses, and production implementation patterns. Use when the user asks about rate limiter designer, rate limiter designer best practices, or needs guidance on rate limiter designer implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos
Development
GitHub

react-architect

Expert-level React application architecture covering component patterns, hooks design, state management selection, performance optimization, server components, and scalable folder structures. Use when the user asks about react architect, react architect best practices, or needs guidance on react architect implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

543 repo starsObserved in 2 repos
Development
GitHub