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Found 2,394 Skills
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。
Python SDK for the iii engine. Use when building workers, registering functions, or invoking triggers in Python.
Configure Python package metadata, setup.py, and pyproject.toml for distribution using UV or setuptools. Use when setting up Python packages, configuring build systems, or preparing projects for PyPI publication.
Comprehensive guide for Biopython - the premier Python library for computational biology and bioinformatics. Use for DNA/RNA/protein sequence analysis, file I/O (FASTA, FASTQ, GenBank, PDB), sequence alignment, BLAST searches, phylogenetic analysis, structure analysis, and NCBI database access.
Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.
Manage call recordings, media storage, Dialogflow integration, and external connections for SIP trunking. This skill provides Python SDK examples.
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Debug Python: pdb REPL + debugpy remote (DAP).
Make Chalk Python resolvers statically accelerable. Use when the user asks to accelerate resolvers, fix static-acceleration diagnostics, check why a resolver "can't be accelerated", or speed up Python feature pipelines in a Chalk project (a repo with chalk.yaml/chalk.yml).
Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases, or working with vector/hybrid search. Covers SearchClient, SearchIndexClient, SearchIndexerClient, and KnowledgeBaseRetrievalClient.
Pytest discipline for writing, reviewing, and fixing Python tests — what deserves to be a committed test, deterministic concurrency testing, fixture isolation, mocking boundaries, and suite structure. Triggers on writing or reviewing pytest tests, designing fixtures, parametrizing cases, mocking or patching, debugging flaky or order-dependent tests, xfail/skip decisions, and pytest configuration.
Test-driven development in Python using uv as the package manager. Covers the red-green-refactor cycle, vertical slicing, and uv project setup.