python-project-prep
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- Author updated Live
- Author repo skills-registry
- Domain
- DevOps
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @tomevault-io · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- Python
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 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: devops
runtime: Python
---
# python-project-prep output preview
## PART A: Task fit
- Use case: Prepare Python projects with professional structure, documentation, and tooling. Use when starting a new Python project, setting up a repository, creating project documentation (README, CONTRIBUTING), configuring development tools (pytest, ruff, mypy, pre-commit), or establishing CI/CD pipelines. Triggers on requests to "start a Python project", "set up a repo", "create project structure", "initialize a package", "prepare development environment", or any Python project scaffolding needs. Use when this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Prepare Python projects with professional structure, documentation, and tooling. Use when starting a new Python project, setting up a repository, creating project documentation (README, CONTRIBUTING), configuring development tools (pytest, ruff, mypy, pre-commit), or establishing CI/CD pipelines. Triggers on requests to "start a Python project", "set up a repo", "create project structure", "initialize a package", "prepare development environment", or any Python project scaffolding needs. Use when this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: python-project-prep
description: Prepare Python projects with professional structure, documentation, and tooling. Use when starti…
category: devops
source: tomevault-io/skills-registry
---
# python-project-prep
## When to use
- Prepare Python projects with professional structure, documentation, and tooling. Use when starting a new Python projec…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "python-project-prep" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Workflow Overview / Step 1: Clarify Requirements / Step 2: Plan Architecture
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} 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.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review