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
Evaluation results
100%
50%Bootstrap a Python Data Processing Library
Project setup workflow
uv venv used
0%
100%
uv pip install used
0%
100%
Editable install with dev extras
50%
100%
pyproject.toml [project] table
100%
100%
requires-python constraint
100%
100%
Runtime dependencies declared
100%
100%
Dev dependencies in optional-dependencies
100%
100%
uv pip list captured
0%
100%
Python version specified
0%
100%
No bare pip usage
0%
100%
No requirements.txt only approach
100%
100%
Without context: $0.3323 · 1m 26s · 21 turns · 28 in / 4,092 out tokens
With context: $0.4238 · 1m 20s · 26 turns · 29 in / 4,225 out tokens
83%
Fetch and Summarise Weather Data
Package install and script execution
uv venv for env creation
100%
100%
uv pip install for packages
100%
100%
Install from requirements file
100%
100%
uv run for script execution
0%
0%
No bare pip usage
100%
100%
httpx imported in script
100%
100%
rich imported in script
100%
100%
requirements.txt present
100%
100%
No source activation required
70%
70%
Without context: $0.2113 · 53s · 16 turns · 19 in / 3,026 out tokens
With context: $0.4818 · 1m 25s · 28 turns · 33 in / 5,489 out tokens
54%
3%Resolve Dependency Conflicts in a Legacy API Service
Dependency conflict resolution
uv venv used
100%
100%
uv pip install used
100%
100%
Backtracking resolver invoked
0%
0%
All three packages present
100%
100%
uv pip list output captured
0%
40%
No bare pip usage
100%
100%
Conflict approach documented
60%
50%
uv cache clean mentioned
0%
0%
No requirements.txt only approach
50%
50%
Without context: $0.2576 · 1m 12s · 19 turns · 25 in / 3,856 out tokens
With context: $0.5510 · 1m 43s · 33 turns · 38 in / 5,901 out tokens
- Evaluated
- Agent
- Claude Code
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