uv-package-manager

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 optimizing Python development workflows with uv.

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

65%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A highly actionable command reference with strong executable examples and a valid one-level reference file, but it is padded with concept/marketing explanation Claude already knows and lacks sequenced workflows with validation checkpoints for its riskier operations.

Suggestions

Trim the 'What is uv?', 'Key Features', and 'UV vs Traditional Tools' sections to a few lines — their restated claims (e.g. '10-100x faster', 'Blazing fast') are padding Claude doesn't need.

Add validation/verification steps for risky operations: verify `uv sync`/`uv lock` succeeded (e.g. check uv.lock, `uv run python -c` smoke test) and a migration check after `uv add -r requirements.txt`.

Move the dense 'Pattern 4–11' command catalog into references/advanced-patterns.md and keep SKILL.md as a concise quick-start overview to reduce the inline wall of commands.

Dimension	Reasoning	Score
Conciseness	Mostly efficient command examples, but the 'Core Concepts'/'Key Features' sections restate capability bullets and explain what uv is (e.g. 'Written in Rust: Leverages Rust's performance', 'Blazing fast installation speeds') that Claude already knows or that pad the body.	2 / 3
Actionability	Extensive copy-paste-ready, executable commands with real flags and syntax across init, venv, add/remove, lock, and python management, matching the fully-executable anchor.	3 / 3
Workflow Clarity	Content is organized as a command menu of 'Pattern N' categories rather than sequenced multi-step workflows, and operations with risk (migrations, --system-site-packages, uv remove) lack validation/verification checkpoints.	2 / 3
Progressive Disclosure	A well-signaled one-level reference to references/advanced-patterns.md exists (and is a real file), but the 345-line body itself is a long inline reference that could be trimmed and split further rather than remaining mostly monolithic.	2 / 3
	Total	9 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description that names concrete capabilities, includes explicit 'Use when' trigger guidance, and is tightly scoped to uv with natural trigger phrasing. No first/second-person voice is present, so no specificity penalty applies.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities — 'fast Python dependency management, virtual environments, and modern Python project workflows' — matching the 'lists multiple specific concrete actions' anchor.	3 / 3
Completeness	Explicitly answers what ('Master the uv package manager for...') and when ('Use when setting up Python projects, managing dependencies...'), satisfying the what-AND-when anchor.	3 / 3
Trigger Term Quality	Natural trigger phrases users would say ('setting up Python projects, managing dependencies, or optimizing Python development workflows') plus the tool name 'uv', giving good coverage of likely phrasings.	3 / 3
Distinctiveness Conflict Risk	Scoped tightly to the uv package manager with tool-name-specific triggers, occupying a clear niche unlikely to conflict with other skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: wshobson/agents
Commit: 9c56144

Reviewed: about 19 hours ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.