python-packaging
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
79
75%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/python-development/skills/python-packaging/SKILL.mdQuality
Discovery
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.
This is a well-crafted skill description that hits all the key criteria. It provides specific capabilities, includes natural trigger terms that users would actually use, has an explicit 'Use when...' clause, and is clearly distinguishable from other skills. The description is concise without being vague.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: creating distributable packages, proper project structure, setup.py/pyproject.toml configuration, and publishing to PyPI. These are clear, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what ('Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI') and when ('Use when packaging Python libraries, creating CLI tools, or distributing Python code') with an explicit 'Use when...' clause. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'Python packages', 'setup.py', 'pyproject.toml', 'PyPI', 'packaging Python libraries', 'CLI tools', 'distributing Python code'. These cover common variations of how users would phrase packaging-related requests. | 3 / 3 |
Distinctiveness Conflict Risk | Clearly occupies a distinct niche around Python packaging and distribution. The specific mentions of setup.py, pyproject.toml, and PyPI make it unlikely to conflict with general Python development or other coding skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is highly actionable with excellent, executable examples covering the full packaging lifecycle, but it is far too verbose for a SKILL.md file. It includes extensive content that Claude already knows (basic concepts, PEP descriptions, tool advantages), redundant patterns (two CLI frameworks), and inline tool configurations that belong in reference files. The publishing workflow would benefit from explicit validation checkpoints and error recovery steps.
Suggestions
Reduce the main file to ~100 lines by moving full pyproject.toml examples, CLI patterns, and tool configurations into separate reference files (e.g., references/pyproject-examples.md, references/cli-patterns.md)
Remove the 'Core Concepts' and 'When to Use' sections entirely—Claude knows what PyPI, wheels, and PEPs are
Add explicit validation/error-recovery steps to the publishing workflow: e.g., 'If twine check fails, fix metadata and rebuild' and 'Install from TestPyPI and run smoke tests before publishing to production PyPI'
Keep only one CLI pattern (click) in the main file and reference the argparse alternative in a supplementary file
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at 400+ lines. It explains concepts Claude already knows (what PyPI is, what source/flat layouts are, advantages of source layout), lists PEP numbers without actionable context, includes full tool configurations (black, ruff, mypy, pytest, coverage) that are tangential to packaging, and provides two complete CLI patterns (click + argparse) when one would suffice. Much of this content could be in reference files. | 1 / 3 |
Actionability | The skill provides fully executable, copy-paste ready code and commands throughout: complete pyproject.toml files, working CLI implementations, build/publish commands, GitHub Actions workflows, and proper file structures. Every pattern includes concrete, runnable examples. | 3 / 3 |
Workflow Clarity | The build-and-publish workflow (Patterns 8-9) has a reasonable sequence (build → check → test on TestPyPI → publish to PyPI) but lacks explicit validation checkpoints and error recovery steps. There's no 'if twine check fails, do X' or 'verify installation works before publishing to production PyPI' feedback loop for what is essentially a destructive/irreversible operation (publishing to PyPI). | 2 / 3 |
Progressive Disclosure | There is one reference to an advanced patterns file at the very end, but the main file is monolithic with ~400 lines of inline content including full tool configurations, two CLI patterns, and multiple pyproject.toml variants that should be in separate reference files. The 'When to Use' and 'Core Concepts' sections add bulk without clear navigation to specific patterns. | 2 / 3 |
Total | 8 / 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 |
|---|---|---|
skill_md_line_count | SKILL.md is long (511 lines); consider splitting into references/ and linking | Warning |
Total | 10 / 11 Passed | |
- Repository
- wshobson/agents
- Commit
27a7ed9
- Reviewed
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