Generate PEP 257-compliant Python docstrings for classes, methods, and modules.
npx skills add https://github.com/ql-link/LinkRag --skill code-annotator
Please help me install this Agent Skill. Skill: code-annotator Source: https://github.com/ql-link/LinkRag/tree/main/.ai/skills/code-annotator Command: npx skills add https://github.com/ql-link/LinkRag --skill code-annotator
资深后端架构师与文档专家，能够为 Python 项目生成符合 PEP 257 的 Docstring 注释，确保全局上下文感知、粒度控制与可维护性。
请提供一个 Python 文件路径与目标 docstring 风格，以生成带有 docstring 的代码片段。
High-intent search queries and answers about installing and using this skill.
Python docstrings are generated by providing a file path and target style. The tool produces context-aware, PEP 257 compliant documentation for classes, methods, and modules.
Consistent docstring styles are achieved by applying a single convention across modules. This tool enforces consistency by supporting Google, NumPy, and PEP 257 styles globally.
You can use Google or NumPy docstring styles. The tool supports multiple formats while maintaining context-aware design intent and input/output documentation.
It annotates Python methods and classes with design intent. The tool handles various signatures and emphasizes inputs, outputs, exceptions, and architectural context.
Automated Python code documentation relies on existing code clarity. While it applies PEP 257 conventions and handles signatures, complex implicit logic requires manual refinement.
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