Name: python-patterns
Rating: 49.6 (1 reviews)
Author: administrakt0r

python-patterns

Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

Quality

54%

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Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/python-patterns/SKILL.md

The canonical home for this skill is python-patterns in administrakt0r/AI-Agents-Safe-Coding-Skills

Quality

Content

50%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-organized reference of decision trees and tables that assumes some intelligence but over-explains basic Python concepts and offers mostly heuristic rather than executable guidance. With no bundle files, the single 440-line document leaves progressive disclosure underdeveloped.

Suggestions

Move detailed reference material (framework comparison tables, async library selection, Django/FastAPI principles) into separate files under references/ and link to them one level deep from SKILL.md.

Replace or supplement ASCII decision trees with concrete, copy-paste-ready code snippets for the most common cases (e.g., a minimal async FastAPI endpoint, a Celery task).

Trim explanations of basic concepts Claude already knows (Optional/Union semantics, what Pydantic is) to keep the body lean.

Dimension	Reasoning	Score
Conciseness	The ASCII decision trees and tables are token-efficient, but sections explain basics Claude already knows ("Optional → might be None", "Union → one of multiple types") and repeat motivational lines. Mostly efficient but could be tightened, so it sits at 3 rather than 4.	3 / 5
Actionability	Guidance is largely heuristic decision trees and comparison tables rather than copy-paste executable code; the few code blocks (type hints, FastAPI/Pydantic, async test) are minimal. It is above 2 because concrete selection tables exist, but below 4 because most direction is not directly executable.	3 / 5
Workflow Clarity	A decision checklist (section 10) and "How to Use" steps provide a rough sequence, but there is no multi-step workflow with explicit validation checkpoints. It is an advisory skill so the destructive/batch cap does not apply, leaving it at 3.	3 / 5
Progressive Disclosure	The ~440-line body is well divided into 11 numbered sections, but all content is inlined in SKILL.md with no bundle files or one-level-deep references; content that could live in separate reference files (framework comparison, async library table, Django/FastAPI sections) is inline. The under-50-line simple-skill exception does not apply, so it stays at 3.	3 / 5
	Total	12 / 20 Passed

Description

58%Weight 40%Scale 1-5

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 clearly conveys what the skill covers but omits any explicit trigger/"Use when" guidance, which caps completeness and limits trigger-term quality. It is specific and reasonably distinctive within the Python domain.

Suggestions

Add an explicit "Use when..." clause naming natural trigger phrases (e.g., choosing a Python framework, deciding async vs sync, structuring a Python project).

Include common user-facing synonyms and concrete triggers (e.g., "FastAPI vs Django", "type hints", "async/await") to improve trigger-term coverage.

Tighten "Teaches thinking, not copying." into the trigger clause so the when-to-use is concrete rather than philosophical.

Dimension	Reasoning	Score
Specificity	Names the domain and lists several concrete areas ("Framework selection, async patterns, type hints, project structure"), with only minor coverage gaps. It falls below 5 because these are topic areas rather than fully enumerated concrete actions.	4 / 5
Completeness	It clearly states the "what" (Python development principles and decision-making across listed areas) but provides no explicit "when" guidance; per the rubric a missing "Use when..." clause caps completeness at 3.	3 / 5
Trigger Term Quality	Relevant keywords like "framework selection", "async patterns", and "type hints" appear, but there is no "Use when..." trigger phrase and common synonyms/variations users would naturally say are missing. Not a 4 because the keyword set is incomplete and lacks explicit trigger phrasing.	3 / 5
Distinctiveness Conflict Risk	The Python architecture/decision-making niche is mostly distinct from other skills with only minor overlap risk against general coding skills. Not a 5 because "Python development" is still fairly broad.	4 / 5
	Total	14 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: administrakt0r/AI-Agents-Safe-Coding-Skills
Path: plugins/AI-Agents-Safe-Coding-Skills-claude/skills/python-patterns/SKILL.md
Commit: 57c135b

Reviewed: 2 days ago

Table of Contents

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