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bootstrap-uv-python-workspacebootstrap UV Python workspace 搜索

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

360

周安装

15

GitHub Stars

2

下载量

120
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bootstrap-uv-python-workspace(bootstrap UV Python workspace 搜索)
来源仓库:https://github.com/gaelic-ghost/python-skills
仓库路径:skills/bootstrap-uv-python-workspace
安装命令:
npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-uv-python-workspace
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-uv-python-workspace

简介

bootstrap-uv-python-workspace 用于辅助 Python 项目开发、测试和依赖管理。

  • 适合阅读 Python 代码、定位测试问题、整理运行命令或分析数据处理逻辑。
  • 使用时需确认虚拟环境、依赖版本和测试入口。
  • 涉及脚本执行或文件读写时,应先明确运行目录和输入输出范围。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Bootstrap UV Python Workspace

Purpose

Create repeatable uv-based scaffolds for both single projects and workspaces. Use this skill as the shared scaffolding basis for other Python bootstrap skills that need consistent uv project and workspace defaults.

When To Use

  • Use this skill for generic uv project or workspace creation.
  • Use this skill when the user needs package or service scaffolding without the higher-level FastAPI or FastMCP overlays.
  • Expect downstream higher-level Python bootstrap skills to delegate here rather than duplicate its defaults.

Primary Workflow

  1. Choose the canonical entrypoint:

- single project: scripts/init_uv_python_project.sh - workspace: scripts/init_uv_python_workspace.sh

  1. Select the profile or profile map:

- package - service

  1. Run the selected script with explicit --name and optional --path, --python, --force, --initial-commit, and --no-git-init.
  2. Accept the built-in validation path:

- uv run pytest - uv run ruff check. - uv run mypy.

  1. Confirm the generated output includes:

- a committed .env for safe defaults - an ignored .env.local for machine-local or secret overrides - typed configuration via pydantic-settings

  1. Return the generated path plus the exact next-step commands emitted by the script.

Commands

# Package project
scripts/init_uv_python_project.sh --name my-lib --profile package

# Service project
scripts/init_uv_python_project.sh --name my-service --profile service --python 3.13

# Workspace with defaults (core-lib package + api-service service)
scripts/init_uv_python_workspace.sh --name my-workspace

# Workspace with explicit members and profile mapping
scripts/init_uv_python_workspace.sh \
  --name platform \
  --members "core-lib,billing-service,orders-service" \
  --profile-map "core-lib=package,billing-service=service,orders-service=service"

# Allow non-empty target directory
scripts/init_uv_python_project.sh --name my-lib --force

# Skip git initialization
scripts/init_uv_python_workspace.sh --name platform --no-git-init

# Create initial commit after successful scaffold
scripts/init_uv_python_project.sh --name my-service --profile service --initial-commit

Defaults

  • Python version: 3.13 (override with --python).
  • Quality tooling: pytest, ruff, mypy.
  • Config baseline: committed .env, ignored .env.local, and pydantic-settings.
  • Git initialization: enabled by default (disable via --no-git-init).
  • Workspace defaults:
  • Members: core-lib,api-service
  • Profiles: first member package, remaining members service
  • Local linking: services depend on the first package member using uv workspace sources.

Outputs

  • status

- success: scaffold and built-in validation completed - blocked: prerequisites or target-directory constraints prevented the run - failed: the script started but validation or generation failed

  • path_type

- primary: one of the two canonical shell entrypoints completed

  • output

- resolved project or workspace path - emitted validation commands - generated run examples

Guardrails

  • Refuse non-empty target directories unless --force is set.
  • Refuse to overwrite an existing pyproject.toml.
  • Require uv and git when git initialization is enabled.
  • Exit non-zero with actionable error text for invalid arguments or missing prerequisites.

Fallbacks and Handoffs

  • Preferred paths are scripts/init_uv_python_project.sh and scripts/init_uv_python_workspace.sh.
  • Recommend bootstrap-python-service when the user wants FastAPI-first scaffolding.
  • Recommend bootstrap-python-mcp-service when the user wants FastMCP-first scaffolding.
  • Recommend integrate-fastapi-fastmcp when the user already has one surface and needs integration guidance for the other inside the same uv project or workspace.

Automation Suitability

  • Codex App automation: Medium. Best for scheduled scaffold health checks, not day-to-day product delivery.
  • Codex CLI automation: High. Strong fit for CI or scheduled scaffold validation.

Codex App Automation Prompt Template

Use $bootstrap-uv-python-workspace.

Scope boundaries:
- Work only inside <REPO_PATH>.
- Create temporary scaffolds only under <SCRATCH_ROOT>/<NAME>-<STAMP>.
- Do not modify unrelated files outside the temporary scaffold path.

Task:
1. If <MODE:PROJECT|WORKSPACE> is PROJECT, run:
   `scripts/init_uv_python_project.sh --name <NAME> --profile <PROFILE:PACKAGE|SERVICE> --python <PYTHON_VERSION> --path <SCRATCH_ROOT>/<NAME>-<STAMP> <FORCE_FLAG> <GIT_INIT_MODE>`
2. If <MODE:PROJECT|WORKSPACE> is WORKSPACE, run:
   `scripts/init_uv_python_workspace.sh --name <NAME> --python <PYTHON_VERSION> --path <SCRATCH_ROOT>/<NAME>-<STAMP> --members "<MEMBERS_CSV>" --profile-map "<PROFILE_MAP>" <FORCE_FLAG> <GIT_INIT_MODE>`
3. Run validation checks in the scaffold root:
   - `uv run pytest`
   - `uv run ruff check .`
   - `uv run mypy .`
4. If <KEEP_OR_CLEANUP_ARTIFACTS:KEEP|CLEANUP> is CLEANUP, remove the scaffold directory after reporting results.

Output contract:
1. STATUS: PASS or FAIL
2. COMMANDS: exact commands executed, in order
3. RESULTS: concise check outcomes
4. If FAIL: include a short stderr summary and minimal fix recommendation
5. If PASS with no findings: include "safe to archive"

Codex CLI Automation Prompt Template

codex exec --full-auto --sandbox workspace-write --cd "<REPO_PATH>" "<PROMPT_BODY>"

<PROMPT_BODY> template:

Use $bootstrap-uv-python-workspace.
Stay strictly within <REPO_PATH>. Create temporary artifacts only under <SCRATCH_ROOT>/<NAME>-<STAMP>.
Run scaffold generation for <MODE:PROJECT|WORKSPACE>, then run:
- `uv run pytest`
- `uv run ruff check .`
- `uv run mypy .`
Return STATUS, exact commands, and concise results only. If failures occur, provide only the minimal remediation needed.

Customization Placeholders

  • <REPO_PATH>
  • <SCRATCH_ROOT>
  • <NAME>
  • <STAMP>
  • <MODE:PROJECT|WORKSPACE>
  • <PROFILE:PACKAGE|SERVICE>
  • <MEMBERS_CSV>
  • <PROFILE_MAP>
  • <PYTHON_VERSION>
  • <FORCE_FLAG>
  • <GIT_INIT_MODE>
  • <KEEP_OR_CLEANUP_ARTIFACTS:KEEP|CLEANUP>

Interactive Customization Workflow

  1. Ask whether users want project or workspace script execution.
  2. Gather name, path, Python version, and git/force flags.
  3. If project script, gather profile (package or service).
  4. If workspace script, gather members and optional profile map.
  5. Return both:
  • A YAML profile for durable reuse.
  • The exact scaffold command to run.
  1. Use this precedence order:
  • CLI flags
  • --config profile file
  • .codex/profiles/bootstrap-uv-python-workspace/customization.yaml
  • ~/.config/gaelic-ghost/python-skills/bootstrap-uv-python-workspace/customization.yaml
  • Script defaults
  1. If users want temporary reset behavior:
  • --bypassing-all-profiles
  • --bypassing-repo-profile
  • --deleting-repo-profile
  1. If users provide no customization or profile files, keep existing script defaults unchanged.
  2. See references/interactive-customization.md for schema and examples.

References

  • references/uv-command-recipes.md
  • references/customization.md

Script Inventory

  • scripts/init_uv_python_project.sh
  • scripts/init_uv_python_workspace.sh

Assets

  • assets/README.md.tmpl

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.64%
按下载量换算43

Claude

30.31%
按下载量换算36

Cursor

21.21%
按下载量换算25

Gemini CLI

10.04%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-uv-python-workspace 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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