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.

Quality

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Does it follow best practices?

Impact

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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.

The body is highly actionable with executable examples and reasonable structure, but it spends tokens on concepts Claude already knows and presents packaging as patterns rather than a validated workflow. Progressive disclosure is only partially realized since one bundle file is unreferenced.

Suggestions

Tighten the Core Concepts and Build Backends sections to remove basic explanations Claude already knows (e.g. "setuptools: Traditional, widely used").

Add a sequenced build→test→publish workflow with an explicit validation checkpoint (e.g. test on TestPyPI) before publishing to PyPI.

Reference references/advanced-patterns.md alongside references/details.md so the full bundle is discoverable from SKILL.md.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with executable pyproject.toml blocks, but the Core Concepts/Build Backends sections restate basics (e.g. "setuptools: Traditional, widely used") that Claude already knows and could be tightened.	2 / 3
Actionability	Provides fully executable pyproject.toml snippets, project structure trees, and concrete tool.setuptools configuration that are copy-paste ready.	3 / 3
Workflow Clarity	Build/publish is a multi-step process but the body presents layout patterns rather than a sequenced build→test→publish workflow, and lacks validation checkpoints before publishing.	2 / 3
Progressive Disclosure	It correctly signals one-level-deep references/details.md, but never surfaces references/advanced-patterns.md, leaving a real bundle file unmentioned and navigation incomplete.	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.

The description is specific, trigger-rich, and complete, answering both what the skill does and when to invoke it in third person. It is concise and clearly distinct from other skills.

Dimension	Reasoning	Score
Specificity	"Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI" lists multiple concrete actions (structuring, configuring metadata, publishing) matching the highest anchor.	3 / 3
Completeness	It explicitly states both what it does (create packages, configure pyproject, publish to PyPI) and when to use it via an explicit "Use when" trigger clause.	3 / 3
Trigger Term Quality	"Use when packaging Python libraries, creating CLI tools, or distributing Python code" covers natural terms users would actually say, matching the good coverage anchor.	3 / 3
Distinctiveness Conflict Risk	The Python-packaging niche is clear and the triggers are domain-specific, making it unlikely to fire for unrelated 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: 5cc2549

Reviewed: 8 days ago

Table of Contents

Discovery Implementation Validation

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