运维安装
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- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: python-project-prep
description: Prepare Python projects with professional structure, documentation, and tooling. Use when starti…
category: 运维部署
runtime: Python
---
# python-project-prep 输出预览
## PART A: 任务判断
- 适用问题:部署、CI、环境检查、发布或运维排障。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于部署、CI、环境检查、发布或运维排障,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: python-project-prep
description: Prepare Python projects with professional structure, documentation, and tooling. Use when starti…
category: 运维部署
source: tomevault-io/skills-registry
---
# python-project-prep
## 什么时候使用
- 用于组织测试、定位失败并形成修复闭环 适合处理部署、CI、发布、回滚、环境检查和运维排障,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤;通常不需要额外 A…
- 面向部署、CI、环境检查、发布或运维排障,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "python-project-prep" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Python | 读取文件、写入/修改文件 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Python Project Preparation
Comprehensive workflow for initializing Python projects with modern best practices.
Workflow Overview
- Clarify requirements → Understand project scope and constraints
- Plan architecture → Design structure appropriate to project type
- Initialize structure → Create directories and base files
- Configure tooling → Set up dev tools, linting, testing
- Document → README, CONTRIBUTING, API docs as needed
- Verify setup → Test that everything works
Step 1: Clarify Requirements
Gather essential information before scaffolding:
| Question | Why it matters |
|---|---|
| Project type? (CLI, library, web app, script collection) | Determines structure and entry points |
| Distribution target? (PyPI, internal, single-use) | Affects packaging and versioning |
| Python version constraints? | Influences syntax and dependency choices |
| Key dependencies? | May require specific project patterns |
| Team size / collaboration needs? | Determines CI/CD and contribution workflow complexity |
Skip questions with obvious answers from context.
Step 2: Plan Architecture
Project Type Patterns
Library/Package (for PyPI or internal distribution):
project-name/
├── src/project_name/ # Source code (src layout)
│ ├── __init__.py
│ └── core.py
├── tests/
├── docs/
├── pyproject.toml
├── README.md
└── LICENSE
CLI Application:
project-name/
├── src/project_name/
│ ├── __init__.py
│ ├── cli.py # Entry point
│ └── commands/
├── tests/
├── pyproject.toml
└── README.md
Web Application (FastAPI/Flask):
project-name/
├── src/project_name/
│ ├── __init__.py
│ ├── main.py # App entry
│ ├── api/
│ ├── models/
│ └── services/
├── tests/
├── alembic/ # If using DB migrations
├── pyproject.toml
└── README.md
Script Collection (utilities, automation):
project-name/
├── scripts/
│ ├── script_one.py
│ └── script_two.py
├── shared/ # Common utilities
├── requirements.txt # Or pyproject.toml
└── README.md
See references/project-templates.md for detailed templates with all standard files.
Step 3: Initialize Structure
Use the Init Script
Run the bundled initialization script for quick setup:
python scripts/init_project.py <project-name> --type <library|cli|webapp|scripts>
The script creates the directory structure, pyproject.toml, and base files.
Manual Initialization
If customization is needed, create structure manually:
mkdir -p src/project_name tests docs
touch src/project_name/__init__.py
touch tests/__init__.py
touch pyproject.toml README.md LICENSE
Step 4: Configure Tooling
pyproject.toml (Modern Standard)
All configuration in one file. See references/tool-configs.md for complete examples.
Minimal pyproject.toml:
[project]
name = "project-name"
version = "0.1.0"
description = "Brief description"
requires-python = ">=3.10"
dependencies = []
[project.optional-dependencies]
dev = ["pytest>=8.0", "ruff>=0.4", "mypy>=1.10"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
Essential Dev Tools
| Tool | Purpose | Config location |
|---|---|---|
| ruff | Linting + formatting (replaces flake8, black, isort) | [tool.ruff] |
| mypy | Type checking | [tool.mypy] |
| pytest | Testing | [tool.pytest.ini_options] |
| pre-commit | Git hooks | .pre-commit-config.yaml |
Recommended Tool Configuration
Add to pyproject.toml:
[tool.ruff]
line-length = 88
target-version = "py310"
[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B", "SIM"]
[tool.mypy]
python_version = "3.10"
strict = true
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-v --tb=short"
Pre-commit Hooks
Create .pre-commit-config.yaml:
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.4.4
hooks:
- id: ruff
args: [--fix]
- id: ruff-format
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.10.0
hooks:
- id: mypy
additional_dependencies: []
Install with: pre-commit install
Step 5: Document
README.md Structure
# Project Name
Brief description (1-2 sentences).
## Installation
\`\`\`bash
pip install project-name
\`\`\`
## Quick Start
\`\`\`python
# Minimal working example
\`\`\`
## Usage
[Key features and examples]
## Development
\`\`\`bash
pip install -e ".[dev]"
pre-commit install
pytest
\`\`\`
## License
[License type]
Additional Docs (as needed)
- CONTRIBUTING.md → For open source or team projects
- CHANGELOG.md → For versioned releases
- docs/ → For complex APIs (use mkdocs or sphinx)
Step 6: Verify Setup
Run these checks after initialization:
# Install in development mode
pip install -e ".[dev]"
# Verify linting works
ruff check .
ruff format --check .
# Verify type checking
mypy src/
# Verify tests run
pytest
# Verify package imports
python -c "import project_name"
Quick Reference
Common Commands
# Create virtual environment
python -m venv .venv && source .venv/bin/activate
# Install with dev dependencies
pip install -e ".[dev]"
# Run all quality checks
ruff check . && ruff format --check . && mypy src/ && pytest
# Build distribution
python -m build
# Upload to PyPI (test)
twine upload --repository testpypi dist/*
Version Bumping
Use semantic versioning: MAJOR.MINOR.PATCH
- MAJOR: Breaking changes
- MINOR: New features (backward compatible)
- PATCH: Bug fixes
Conditional Workflows
Starting from scratch? → Follow steps 1-6 sequentially
Adding tooling to existing project? → Jump to Step 4, adapt configs to existing structure
Just need documentation? → Jump to Step 5, use templates from references
Need CI/CD setup? → See references/tool-configs.md for GitHub Actions templates
Source: camauger/dev-skills — distributed by TomeVault.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核