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Python idiomatic patterns and best practices
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Basierend auf der SOC-Berufsklassifikation
Validate and fix YAML frontmatter metadata in markdown documentation files. Covers required fields, field formats, and schema compliance for SKILL.md and knowledge-copilot files. Use proactively when auditing documentation frontmatter, reviewing SKILL.md files, or fixing YAML metadata errors.
Validate markdown links and cross-references to ensure documentation integrity. Detects broken links, missing anchors, and invalid cross-reference paths in markdown files. Use proactively when auditing documentation, reviewing PRs that touch markdown files, or checking knowledge-copilot for broken links.
Analyze markdown files for token budget compliance. Checks word count, section lengths, and overall file size against documentation guidelines. Use proactively when creating or reviewing documentation files, knowledge-copilot pages, or when a doc might be over-budget for agent context loading.
Code smell detection, refactoring triggers, and safe transformation patterns for extract, inline, and rename operations. Includes deterministic code-structure metrics analyzer (refactor_metrics.py) for long functions, deep nesting, long parameter lists, large files, and function count — covers TypeScript, JavaScript, Python, Go, Java, and Ruby. Use proactively when identifying refactoring opportunities, code-reviewing for structural complexity signals, prioritizing technical debt, or establishing a complexity baseline for a module. Run the metrics analyzer for deterministic scoring.
MailChimp Voice & Tone framework for UX copy, microcopy, error messages, and interface text — calibrates tone to user emotional state and context. Covers the four-quadrant tone map, plain-language rules, and anti-patterns for corporate or condescending copy. Use proactively when writing error messages, button labels, help text, onboarding flows, empty states, success confirmations, destructive action warnings, or any user-facing copy in product UI, or when reviewing copy for tone consistency.
Tutorial and how-to guide patterns for progressive learning experiences. Covers Diátaxis tutorial/how-to structure, quickstart design, step-by-step walkthrough writing, anti-patterns, and progressive disclosure. Use proactively when writing tutorials, how-to guides, getting-started docs, or README files.
| name | python-idioms |
| description | Python idiomatic patterns and best practices |
| tags | ["python","idioms","patterns","code-quality"] |
| version | 1.0.0 |
Use pythonic patterns. Prefer list comprehensions over map/filter for readability.