Find the perfect capability for your agent.
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when Claude needs to write Python code, review Python code for style issues, refactor Python code, or provide Python programming guidance. Covers language rules (imports, exceptions, type annotations), style rules (naming conventions, formatting, docstrings), and best practices for clean, maintainable Python code.
Generate hierarchical code maps from any codebase for AI agent consumption. Use when: (1) Analyzing or understanding a codebase structure, (2) Creating documentation of code architecture, (3) Mapping dependencies between files, (4) Extracting class hierarchies and call graphs, (5) Onboarding to a new project, (6) Preparing context for AI-assisted code modifications. Supports Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, Ruby, PHP, and 20+ languages via tree-sitter.
为 Python 项目仓库生成详细的技术说明文档。自顶向下介绍项目构建，按时间流程追踪数据流动，详解每个时间点的操作、输入输出和处理细节。用于用户需要深入理解代码流程、初始化过程、数据流、或任何需要详细代码分析的场景。
A skill for creating comprehensive Python unit tests using pytest. It provides guidance and templates for test structure, fixtures, mocking, parameterization, and coverage. Use this when you need to write unit tests for Python code, set up a testing environment with pytest, or apply testing best practices.
Perform per-change code reviews for C# and Python with language-specific best practices. Use when asked about: code review, review this code, check my code, review PR, best practices, is this code good, code quality, review changes, review my changes. Also triggers automatically after significant code changes. NOT for: architectural assessments, system design reviews (use architecture-review skill instead).
Query PubMed and scientific databases for protocols, analyze biological data with Biopython, handle HIPAA-compliant data. Use for biology research, protocol searches, sequence analysis, or scientific data handling. Cross-validates sources for high accuracy. Triggers on "PubMed", "biology", "scientific data", "sequences", "protocols", "life sciences", "HIPAA".
Use when working in Python with scikit-hep vector and Awkward Array to build vector records, register behaviors, compute deltaR or invariant masses, combine or boost vectors, or access vector properties from ak.zip records of type (Momentum3D/Momentum4D/Vector4D). Vector is only useful if you are also using Awkward.
Comprehensive guide to phylogenetic tree visualization including matplotlib (Python), ggtree (R), and publication-quality figure generation. Covers rectangular, circular, radial layouts, bootstrap annotations, branch coloring, clade highlighting, and interactive visualizations. Based on best practices from Yulab's Tree Data Book.
ENVI spatial transcriptomics analysis toolkit - comprehensive documentation with tutorials and Python source code
Python-based single cell analysis using Scanpy for .h5ad files in conda scanpy environment
Python development for scientific computing and SciTeX projects. Includes testing, debugging, ML practices, and environment management.
Fix lint errors, format code, run type checking, check code quality. Use when fixing linting issues, formatting Python, running ruff, running ty, checking TypeScript types, or ensuring code quality.
Run and interpret eo-processor quality gates (Rust+Python) and add the right tests for changes. Use when verifying work, fixing CI failures, or before committing PR-ready changes (fmt/clippy, ruff/mypy, pytest/tox, coverage, and minimal regression tests).
Apply consistent coding style and formatting standards using automated tools (ESLint, Prettier, Ruff) with clear naming conventions, top-down code organization, and appropriate function/component sizing. Use this skill when writing any code in any language, naming files and variables, structuring code within files, organizing imports, configuring linters and formatters, or setting up pre-commit hooks. Apply when working on TypeScript/JavaScript files, Python files, .NET/C# files, configuration files (tsconfig.json, .prettierrc, .eslintrc), or any code that needs consistent formatting and naming. This skill ensures automated formatting with Prettier/Ruff (let tools handle it), ESLint/analyzer enforcement, TypeScript strict mode always enabled, proper naming conventions (PascalCase.tsx for React components, camelCase.ts for utilities, IPascalCase for interfaces with I prefix, PascalCase for types without prefix, camelCase for functions/constants/database fields/API endpoints/JSON keys, no underscore prefix for
Interpretive guidance for Python code quality using ruff (modern) or pylint+isort+black (traditional). Use when linting Python files, configuring Python tools, troubleshooting lint errors, or understanding tool selection.
Code review best practices for Python projects. Use when reviewing code, PRs, or diffs. Triggers on "review", "code review", "PR", "pull request", "diff", "check this", "look at this code", "quality", "refactor", or when examining code for issues.
