python-env
Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.
95
Does it follow best practices?
Validation for skill structure
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong description with excellent trigger term coverage and clear 'when to use' guidance. The main weakness is that the 'what' portion could be more specific about concrete actions (create venvs, install packages, manage lockfiles) rather than just stating it's 'fast environment management'. The explicit 'Triggers on:' format is effective for skill selection.
Suggestions
Expand the capability description with specific actions: 'Creates virtual environments, installs packages, manages dependencies, syncs lockfiles' instead of just 'environment management'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Python environment management) and mentions speed benefit, but lacks specific concrete actions like 'create virtual environments, install packages, manage dependencies, sync lockfiles'. | 2 / 3 |
Completeness | Clearly answers both what ('Fast Python environment management with uv') and when ('Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies') with explicit trigger guidance. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'uv, venv, pip, pyproject, python environment, install package, dependencies' - these are exactly what users type when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on uv tool and Python environment management with distinct triggers like 'uv', 'venv', 'pyproject' that wouldn't conflict with general Python coding skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an exemplary skill file that demonstrates excellent token efficiency while remaining highly actionable. The use of tables for quick commands and troubleshooting, combined with executable code blocks and clear references to advanced materials, makes this skill easy to consume and apply. The structure appropriately balances immediate utility with pointers to deeper content.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient, using tables for quick reference and avoiding explanations of concepts Claude already knows. Every section provides direct, actionable information without padding. | 3 / 3 |
Actionability | Provides fully executable, copy-paste ready commands throughout. The bash commands, pyproject.toml example, and project setup checklist are all concrete and immediately usable. | 3 / 3 |
Workflow Clarity | The Project Setup Checklist provides a clear sequence of steps. For this type of skill (environment management), the workflows are appropriately simple and the troubleshooting table provides error recovery guidance. | 3 / 3 |
Progressive Disclosure | Excellent structure with a concise overview, quick reference tables, and clearly signaled one-level-deep references to additional resources (pyproject-patterns.md, dependency-management.md, publishing.md). Related skills are also well-organized. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Reviewed
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