В каталоге 183 730 навыков в 14 категориях.
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pand...
Python expert for writing clean, well-structured, and idiomatic code. Use for: code organization, PEP 8 compliance, type...
Senior Python developer expertise for writing clean, efficient, and well-documented code. Use when: writing Python code,...
Python 프로그래밍 전문가. 코드 작성, 디버깅, 최적화, 라이브러리 사용법 안내.
Write Python that a stranger (or future Nrupal) can read, type-check, and trust. Modern Python is typed Python.
Implement, diagnose, test and modernize production Python projects with version-correct APIs and repository-native packa...
Expert-level Python development with Python 3.12+ features, async/await, type hints, and modern best practices
Use for Python development requiring async programming, type system expertise, testing patterns, or performance optimiza...
Expert in Python development including async programming, type hints, testing with pytest, and modern Python patterns. U...
Deep Python expertise for production systems. Use when writing Python code, implementing async patterns, designing class...
Expert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll e...
FastAPI async web services, Pydantic v2 validation, dependency injection, and background tasks.
Complete FastAPI production system. PROACTIVELY activate for: (1) Project structure (scalable layout), (2) Pydantic sche...
Build high-performance Python APIs with FastAPI. Covers async endpoints, dependency injection, Pydantic validation, Open...
| Layer | File | Purpose |
FastAPI development with Pydantic v2, async SQLAlchemy, dependency injection, and production patterns
Guides the FastAPI Presentation layer in a Python DDD + Onion Architecture app (route handler structure, Pydantic reques...
Guides FastAPI backend design using Domain-Driven Design (DDD) and Onion Architecture in Python. Use when structuring a...
Guides unit testing for Python DDD + Onion Architecture apps (Domain Entities/Value Objects and UseCases) using pytest a...
This skill is about developer experience and quality automation for a DDD FastAPI project, following the conventions in...
Python FastAPI 开发规范和最佳实践指南。适用于现代Web应用开发，涵盖项目架构、编码规范、异步编程、测试、部署等全方位内容。
Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API pattern...
Use when building FastAPI backends, creating API endpoints, implementing Pydantic models, using SQLAlchemy ORM, or worki...
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagg...
FastAPI best practices, async patterns, and Pydantic validation
FastAPI service setup: app/main.py, API routers, pydantic-settings, lifespan/app.state services, middleware, health chec...
Defensive programming pattern for generating valid filenames from user input with intelligent fallback when titles conta...
Use flynt to convert old Python string formatting to f-strings. Activate when: (1) Converting %-formatting to f-strings,...
Formats Python files with ruff format and reports which files changed.
Python frontend specialist using Python-based web frameworks with HTML/CSS/JS integration. Use for NiceGUI, Streamlit, G...
Comprehensive Python best practices for Python 3.13+ based on PEP 8, Google Python Style Guide, and modern community sta...
Master Python syntax, data types, control flow, functions, OOP, and standard library
Complete Python 3.13+ fundamentals system. PROACTIVELY activate for: (1) Python 3.13 free-threading (no-GIL), (2) JIT co...
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| Action | Purpose | Speed |
| Gotcha | Problem | Fix |
Python guardrails, patterns, and best practices for AI-assisted development. Use when working with Python files (.py), r...
This skill should be used when writing, reviewing, or refactoring Python code. Covers code integration, idiomatic patter...
Universal Python development guidelines and best practices
Audit statique read-only d'un projet Python (dead code, complexité, duplication) avec note A-F
Use this when laying out a Python SDK with non-trivial domain logic, when multiple adapter implementations (HTTP + gRPC,...
Specialized Python tutoring for HR analytics professionals. Use when working on HR/talent analytics tasks involving turn...
Use this when testing a parser, serializer, validator, or state machine where an invariant is articulable, when a fixed...
Use this for the Python-specific realization of idempotent-retry-safety — exception-class predicate using `isinstance` /...
Use when building immutable state accumulators in Python. Frozen dataclass + tuple pattern with slots gotcha.
Use when building or reviewing external API integrations in Python — designing client boundaries, defining outbound reli...
Python I/O patterns. Use when working with async, HTTP clients, database sessions, SQLModel, dependency injection, or co...
Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JI...
UTF-8 JSON file I/O utilities to avoid Windows encoding issues (CP-1252 vs UTF-8)
Fix Python build, type, and lint errors with minimal surgical fixes
Guide coding agents to fix specific Python linter issues from Ruff. Use when encountering Ruff linter errors identified...
Python linting and type checking using ruff (formatting + linting) and pyright (type checking). Covers common errors, co...
Use this skill to produce a normalized change plan — an exact diff, a pre-approved rollback procedure, machine-checkable...
Use this skill to operate a distributed job or business-automation process (retry, requeue, run): confirm both technical...
Expert guidance for Python logging libraries including structlog, standard logging, and log analysis. Use when working w...
Python logging with the standard library logging module and structlog. Covers log levels, handlers, formatters, structur...
Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.
Semantic Python code queries via a stdio LSP client driving pyright-langserver. Provides binding-resolved go-to-definiti...
Use this skill to classify a Python application, runtime, packaging, framework, data, or code-level task and route it to...
Python development standards for Mark's workflow. Use when writing Python code, creating Python projects, adding type an...
Small Python utilities for math and text files.
Python SDKとFastMCPフレームワークを使用したModel Context Protocol (MCP) サーバー構築のガイド。PythonベースのMCPサーバーの作成、デバッグ、最適化を行う際に使用してください。
Generate a complete MCP server project in Python with tools, resources, and proper configuration
Implements domain-specific KPI metrics for business operations like charges, invoices, payments. Use when instrumenting...
Prevent OutOfMemoryError from unbounded metric tags by implementing cardinality limits. Use when adding tags to Micromet...
Instrument Java/Spring Boot applications with observability metrics. Use when adding metrics to microservices, integrati...
Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export...
Sets up Micrometer metrics in a Spring Boot service from scratch, including dependencies, Actuator configuration, and re...
Define and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use...
Use this skill to statically review Python ML/AI production correctness: training-serving skew, feature/data leakage, mo...
Use this when designing tests for a class with external dependencies, deciding whether to fake or mock a collaborator, r...
| Pattern | Decorator | Use Case |
Build professional Python CLIs with modern UX patterns using pyfiglet (ASCII banners), typer (commands), questionary (in...
Use when choosing the right modern Python tooling workflow for a project or script (uv setup, quality tools, CLI, loggin...
Strict modern Python typing standards (Python 3.10+ / 3.12). Covers built-in generics, union operator, future annotation...
Use when splitting a Python module (>400 LOC) into a package. mock.patch target update rules and checklist.
Use when you need a detailed execution trace of a Python script using sys.monitoring, including logging every operation...
Expert guidance for multiobjective optimization in Python - Pareto optimality, evolutionary algorithms (NSGA-II, NSGA-II...
Static type checking with Mypy for Python code quality. Use when writing or reviewing Python code to ensure type safety,...
Use this when designing the signature of a new public Python function or class, reviewing code that uses bare dict / lis...
Create a new modern Python project using `uv` and src-layout.
Set up Python projects using nix/direnv with uv for environment management. Use when creating new Python projects, initi...
Use when writing or reviewing asyncio code in Jupyter notebooks or '#%%' cell workflows — structuring event-loop ownersh...
Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, i...
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, obser...
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Expert guidance for mathematical optimization in Python - systematic problem classification, library selection (scipy, p...
Optimizes Python performance using asyncio, profiling, and best practices. Use when implementing async/await patterns, p...
Python code performance optimization specialist
Use when supporting multiple backends/providers without forcing all dependencies on users. pyproject.toml extras pattern...
Use this when adding OpenTelemetry instrumentation to a Python SDK client, reviewing a tracer = trace.get_tracer() call...
Build and publish professional Python packages to PyPI. Use when creating pip-installable packages, converting scripts t...
Python package creation and PyPI distribution via pyproject.toml and entry points. Use when publishing a package or sett...
Use when creating Python libraries for distribution; Building command-line tools with entry points
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use...
Package, build, distribute, and manage modern Python libraries and CLI tools. Use when writing or updating pyproject.tom...
Automatically applies when configuring Python project packaging. Ensures proper pyproject.toml setup, project layout, bu...
Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.t...