How do I install the Uv Package Manager skill?

Run npx skillmds@latest add techwavedev/uv-package-manager in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Uv Package Manager safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Uv Package Manager?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Uv Package Manager free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Uv Package Manager?

techwavedev (@techwavedev) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Uv Package Manager by techwavedev — Agent Skill

Name: Uv Package Manager
Rating: 4.2 (5 reviews)
Author: techwavedev

File contents

UV Package Manager

Comprehensive guide to using uv, an extremely fast Python package installer and resolver written in Rust, for modern Python project management and dependency workflows.

Use this skill when

Setting up new Python projects quickly
Managing Python dependencies faster than pip
Creating and managing virtual environments
Installing Python interpreters
Resolving dependency conflicts efficiently
Migrating from pip/pip-tools/poetry
Speeding up CI/CD pipelines
Managing monorepo Python projects
Working with lockfiles for reproducible builds
Optimizing Docker builds with Python dependencies

Do not use this skill when

The task is unrelated to uv package manager
You need a different domain or tool outside this scope

Instructions

Clarify goals, constraints, and required inputs.
Apply relevant best practices and validate outcomes.
Provide actionable steps and verification.
If detailed examples are required, open resources/implementation-playbook.md.

Resources

resources/implementation-playbook.md for detailed patterns and examples.

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Cache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.

# Check for prior workflow/automation context before starting
python3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Uv Package Manager"

Storing Results

After completing work, store workflow/automation decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \
  --type technical --project <project> \
  --tags uv-package-manager workflow

Multi-Agent Collaboration

Share workflow state with other agents so they can trigger, monitor, or extend the automation.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \
  --project <project>

Playbook Engine

Combine this skill with others using the Playbook Engine (execution/workflow_engine.py) for guided multi-step automation with progress tracking.

---name: uv-package-managerdescription: Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimi...---# UV Package ManagerComprehensive guide to using uv, an extremely fast Python package installer and resolver written in Rust, for modern Python project management and dependency workflows.## Use this skill when- Setting up new Python projects quickly- Managing Python dependencies faster than pip- Creating and managing virtual environments- Installing Python interpreters- Resolving dependency conflicts efficiently- Migrating from pip/pip-tools/poetry- Speeding up CI/CD pipelines- Managing monorepo Python projects- Working with lockfiles for reproducible builds- Optimizing Docker builds with Python dependencies## Do not use this skill when- The task is unrelated to uv package manager- You need a different domain or tool outside this scope## Instructions- Clarify goals, constraints, and required inputs.- Apply relevant best practices and validate outcomes.- Provide actionable steps and verification.- If detailed examples are required, open `resources/implementation-playbook.md`.## Resources- `resources/implementation-playbook.md` for detailed patterns and examples.---## AGI Framework Integration> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)### Memory-First ProtocolCache workflow configurations and automation patterns. Retrieve prior pipeline designs to avoid re-building similar flows from scratch.```bash# Check for prior workflow/automation context before startingpython3 execution/memory_manager.py auto --query "automation patterns and workflow configurations for Uv Package Manager"```### Storing ResultsAfter completing work, store workflow/automation decisions for future sessions:```bashpython3 execution/memory_manager.py store \ --content "Workflow: automated data pipeline with retry logic, dead-letter queue, and Slack alerts on failure" \ --type technical --project <project> \ --tags uv-package-manager workflow```### Multi-Agent CollaborationShare workflow state with other agents so they can trigger, monitor, or extend the automation.```bashpython3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Workflow automation deployed — pipeline processing 1000+ events/day with 99.9% success rate" \ --project <project>```### Playbook EngineCombine this skill with others using the Playbook Engine (`execution/workflow_engine.py`) for guided multi-step automation with progress tracking.

Frequently asked questions

Uv Package Manager