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Found 2,039 Skills
Python best practices for writing production-grade code. This skill should be used when writing, reviewing, or refactoring Python code. Triggers on tasks involving Python development, error handling patterns, dictionary operations, and code quality improvements.
Python backend patterns for asyncio, FastAPI, SQLAlchemy 2.0 async, and connection pooling. Use when building async Python services, FastAPI endpoints, database sessions, or connection pool tuning.
Configure SIP trunking connections and outbound voice profiles. Use when connecting PBX systems or managing SIP infrastructure. This skill provides Python SDK examples.
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.
Automatically generate complete Python project deliverables from natural language requirements through collaboration among four virtual roles: autonomous learning, PM, architect, and senior programmer. Supports feature expansion, project refactoring, and skill invocation. Also supports web search, knowledge integration, version control, Python 3.11+ features, UV package management, loguru logging, and project size adaptation (folder/single file). It provides support for database design and implementation (SQLite, PostgreSQL, MongoDB, vector databases, graph databases), data layer abstraction (Repository pattern), and database switching. Suitable for scenarios such as software requirement clarification, rapid prototyping, project initialization, feature expansion, and code refactoring.
Comprehensive code reviewer for Java and Python implementations focusing on correctness, efficiency, code quality, and algorithmic optimization. Reviews LeetCode solutions, data structures, and algorithm implementations. Use when reviewing code, checking solutions, or providing feedback on implementations.
Appwrite Python SDK skill. Use when building server-side Python applications with Appwrite, including Django, Flask, and FastAPI integrations. Covers user management, database/table CRUD, file storage, and functions via API keys.
Systematic resolution of pyright/mypy type errors with categorization and fix templates. Use when pyright fails, type errors are reported, adding type annotations, or enforcing type safety. Analyzes Python type errors, categorizes them (missing annotations, incorrect types, generic issues, Optional/None handling), and applies fix patterns. Works with .py files and pyright output.
Design comprehensive Python test suites including unit, integration, and E2E tests. Use when establishing testing patterns for new or existing Python applications.
Python toolkit for computational biology. Use when asked to "parse FASTA", "read GenBank", "query NCBI", "run BLAST", "analyze protein structure", "build phylogenetic tree", or work with biological sequences. Handles sequence I/O, database access, alignments, structure analysis, and phylogenetics.
在 Python 项目中默认使用 uv 替代 pip 进行依赖管理和虚拟环境创建，提升 10-100x 安装速度。当处理 Python 项目、创建虚拟环境、安装依赖、或用户提到 pip/venv/virtualenv 时使用。
Upgrade Python dependencies using uv, then run post-upgrade checks to ensure nothing is broken.