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Found 2,394 Skills
Review asynchronous Python code to identify race conditions, deadlocks, and inefficient patterns. Use when working with asyncio, aiohttp, or FastAPI.
Write and run ArcGIS API for Python code in ArcGIS Notebooks or a local environment. Use when the user works with the arcgis package, a hosted ArcGIS Notebook runtime, ArcPy in a notebook, or deletes or overwrites hosted data from Python.
Python backend development expertise for FastAPI, security patterns, database operations, Upstash integrations, and code quality. Use when: (1) Building REST APIs with FastAPI, (2) Implementing JWT/OAuth2 authentication, (3) Setting up SQLAlchemy/async databases, (4) Integrating Redis/Upstash caching, (5) Refactoring AI-generated Python code (deslopification), (6) Designing API patterns, or (7) Optimizing backend performance.
Create and manipulate Microsoft Word documents programmatically. Build reports, contracts, and documentation with full control over paragraphs, tables, headers, styles, and images.
IDA Pro Python scripting for reverse engineering. Use when writing IDAPython scripts, analyzing binaries, working with IDA's API for disassembly, decompilation (Hex-Rays), type systems, cross-references, functions, segments, or any IDA database manipulation. Covers ida_* modules (50+), idautils iterators, and common patterns.
Modern Python project architecture guide for 2025. Use when creating Python projects (APIs, CLI, data pipelines). Covers uv, Ruff, Pydantic, FastAPI, and async patterns.
Implements the Chain of Responsibility pattern in Python. Use when the user mentions chain of responsibility, CoR, or when you need to chain handlers that each process and pass to the next—validation pipelines, processing steps, transformation chains, or any sequential pipeline.
Provides AWS Lambda integration patterns for Python with cold start optimization. Use when deploying Python functions to AWS Lambda, choosing between AWS Chalice and raw Python approaches, optimizing cold starts, configuring API Gateway or ALB integration, or implementing serverless Python applications. Triggers include "create lambda python", "deploy python lambda", "chalice lambda aws", "python lambda cold start", "aws lambda python performance", "python serverless framework".
Bootstrap Python MCP server projects and workspaces on macOS using uv and FastMCP with consistent defaults. Use when creating a new MCP server from scratch, scaffolding a single uv MCP project, scaffolding a uv workspace with package/service members, initializing pytest+ruff+mypy defaults, creating README.md, initializing git, running initial validation checks, or starting from OpenAPI/FastAPI with MCP mapping guidance.
Python tooling conventions. Use when working on .py files, pyproject.toml, or Python projects. Enforce uv for package management, ty for type checking. NOT for JavaScript/TypeScript projects or shell scripts.
Modern Python 3.12+ patterns your AI agent should use. Type hints, async/await, Pydantic v2, uv, match statements, and project structure.
This skill should be used when the user asks to "configure ruff", "set up ruff linting", "use ruff formatter", "replace flake8 with ruff", or needs guidance on Python code quality with Ruff linting and formatting best practices.