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 concrete actions, includes natural trigger terms users would use, explicitly states both what the skill does and when to use it, and occupies a clearly distinct niche in the Python packaging domain.
| 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 describe this need. | 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 coding skills or other language packaging 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 provides highly actionable, executable content with comprehensive examples covering the full Python packaging lifecycle. However, it is significantly over-verbose, including extensive background concepts Claude already knows, redundant tool configurations, and inline content that should be in referenced files. The build/publish workflow would benefit from explicit validation checkpoints and error recovery steps.
Suggestions
Remove the 'Core Concepts' section entirely and trim 'When to Use' to 2-3 key bullets — Claude already knows what PyPI, PEP standards, and build backends are.
Move the full-featured pyproject.toml (Pattern 4), CLI patterns, and tool configurations into a referenced file (e.g., references/patterns.md), keeping only the minimal example inline.
Add explicit validation checkpoints to the build/publish workflow: verify twine check passes before uploading, verify TestPyPI install works before publishing to production PyPI, and include error recovery guidance.
Remove all tool configuration blocks (black, ruff, mypy, pytest, coverage) from the pyproject.toml example — these are standard configurations Claude can generate on demand.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at 400+ lines. It explains concepts Claude already knows (what PyPI is, what PEP standards are, advantages of source layout, what wheels are), lists extensive 'When to Use' bullets, and includes multiple full-featured examples that could be condensed significantly. The 'Core Concepts' section is entirely unnecessary background. Tool configuration blocks (black, ruff, mypy, pytest, coverage) bloat the file with content Claude already knows. | 1 / 3 |
Actionability | The skill provides fully executable, copy-paste ready code and commands throughout — complete pyproject.toml files, CLI implementations with Click and argparse, build/publish commands, GitHub Actions workflows, and directory structures. All examples are concrete and runnable. | 3 / 3 |
Workflow Clarity | The build-and-publish workflow (Patterns 8-10) has a reasonable sequence but lacks explicit validation checkpoints and error recovery. There's no feedback loop for common failures (e.g., what to do if twine check fails, how to verify the package installs correctly before publishing to production PyPI). The TestPyPI step is mentioned but not framed as a mandatory validation gate. | 2 / 3 |
Progressive Disclosure | There is a single reference to 'references/advanced-patterns.md' at the end, which is good. However, the main file itself is monolithic — the full-featured pyproject.toml, multiple CLI patterns, and tool configurations should be split into referenced files rather than inlined. The overview section should be much shorter with pointers to detailed content. | 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
70444e5
- Reviewed
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