用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill uv-package-manager-1-project-initialization命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
基于 SOC 职业分类
正在显示 SKILL.md
| name | uv-package-manager-1-project-initialization |
| description | Sub-skill of uv-package-manager: 1. Project Initialization (+3). |
| version | 1.0.0 |
| category | development |
| type | reference |
| scripts_exempt | true |
Create a new Python project:
# Initialize new project with pyproject.toml
uv init my-project
cd my-project
# Initialize in current directory
uv init
# Initialize with specific Python version
uv init --python 3.11
Project structure created:
my-project/
├── .python-version # Python version lock
├── pyproject.toml # Project configuration
├── README.md # Project readme
└── src/
└── my_project/
└── __init__.py
Create and activate virtual environments:
# Create venv (default .venv directory)
uv venv
# Create with specific Python version
uv venv --python 3.11
# Create with custom name
uv venv .venv-test
# Activate (Linux/macOS)
source .venv/bin/activate
# Activate (Windows)
.venv\Scripts\activate
# Activate (Git Bash on Windows)
source .venv/Scripts/activate
List available Python versions:
# List installed Python versions
uv python list
# Install specific Python version
uv python install 3.12
# Pin Python version for project
uv python pin 3.11
Add dependencies:
# Add a single package
uv add pandas
# Add multiple packages
uv add numpy scipy matplotlib
# Add with version constraints
uv add "pandas>=2.0,<3.0"
# Add development dependencies
uv add --dev pytest pytest-cov ruff
# Add optional dependencies
uv add --optional ml tensorflow torch
# Add from git repository
uv add git+https://github.com/user/repo.git
# Add local package in editable mode
uv add --editable ../my-local-package
Remove dependencies:
# Remove a package
uv remove pandas
# Remove dev dependency
uv remove --dev pytest
Sync dependencies:
# Install all dependencies from pyproject.toml
uv sync
# Sync including dev dependencies
uv sync --dev
# Sync with optional dependencies
uv sync --extra ml
# Sync all extras
uv sync --all-extras
Understanding uv.lock:
# Lock file is auto-generated on uv add/sync
# Contains exact versions for reproducibility
# Regenerate lock file
uv lock
# Lock with specific Python version
uv lock --python 3.11
# Update all dependencies to latest
uv lock --upgrade
# Update specific package
uv lock --upgrade-package pandas
Lock file structure:
# uv.lock (auto-generated, do not edit manually)
version = 1
requires-python = ">=3.9"
[[package]]
name = "pandas"
version = "2.2.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "numpy" },
{ name = "python-dateutil" },
{ name = "pytz" },
]