القائمة
Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata (name, version, pyproject.toml).
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Look up authoritative, up-to-date Claude Code, Agent SDK, hooks, MCP, skills, plugins, settings, subagents, and admin documentation. Use when the user asks how a Claude Code feature works, what a config field does, how to set up hooks/MCP/skills/subagents/plugins, when troubleshooting a Claude Code error or unexpected behavior, or when you need to cite current official docs rather than rely on training-cutoff knowledge.
Maintain the release-history.rst changelog for a Python project before publishing a new version. Use when the user wants to prepare release notes, update changelog, or is about to publish/tag a new version.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
File-based task management with shai-tix CLI. Use when user mentions kanban, ticket, planning, task tracking, or references tickets by [id] or #id format. MUST run via: uvx --from shai-tix==0.1.3 shai-tix <cmd>. Data stored in .tix/ directory (NOT .shai-tix/).
Create properly formatted references to paths (files or folders) in a git repository. Use when writing docs that need to link to any path in the repo.
Python unit testing patterns for pytest, including test file structure, fixtures, mocks, and coverage strategy. Use when asked to write tests (unit/integration) for any Python module, function, class, or method.
| name | python-project-metadata |
| description | Use when exploring Python project structure, finding virtualenv paths (python/pip/pytest), or locating package metadata (name, version, pyproject.toml). |
Runs uvx --from shai-py==0.1.1 shai-py project-info to automatically detect and display Python project metadata:
