The description names the domain (Python in n8n Code nodes) and mentions some specific elements like '_input/_json/_node syntax' and 'standard library', but doesn't list multiple concrete actions — it says 'Write Python code' which is a single broad action rather than enumerating specific capabilities like parsing data, transforming items, or handling errors.

Clearly answers both 'what' (write Python code in n8n Code nodes, using specific syntax, understanding limitations) and 'when' (explicit 'Use when' clause with multiple trigger conditions, plus guidance on when to prefer this skill over JavaScript). The scoping note about JavaScript being preferred 95% of the time adds valuable selection context.

Excellent coverage of natural trigger terms: 'Python', 'n8n', 'Code node', '_input', '_json', '_node', 'standard library', 'regex', 'hashlib', 'statistics'. These are terms users would naturally use when asking about Python in n8n, and the description includes both general and specific keywords.

Highly distinctive — it targets a very specific niche (Python specifically in n8n Code nodes) and explicitly differentiates itself from a JavaScript counterpart by noting Python should only be used when explicitly requested. This clear scoping makes conflicts with other skills very unlikely.

Extremely verbose at ~500+ lines. Repeatedly explains that JavaScript is preferred (mentioned 10+ times), restates the same return format rules multiple times, explains basic Python concepts like list comprehensions and .get() that Claude already knows, and includes redundant sections (e.g., the standard library is listed twice, error patterns are shown twice). The 'Integration with Other Skills' section adds no actionable value.

Provides fully executable, copy-paste ready Python code examples throughout. Every pattern includes concrete code with correct/incorrect comparisons, specific module imports, and real data access syntax. The examples are complete and runnable within the n8n context.

The mode selection guide and data access patterns are clearly sequenced, and the checklist at the end is useful. However, there are no validation/verification steps for the code itself — no guidance on testing output format, no feedback loops for debugging failed executions, and the 'Production Gotchas' section is brief without clear recovery steps.

References to DATA_ACCESS.md, COMMON_PATTERNS.md, ERROR_PATTERNS.md, and STANDARD_LIBRARY.md are well-signaled and one level deep. However, no bundle files were provided, so we can't verify these exist. More importantly, the SKILL.md itself contains massive amounts of content that should be in those referenced files (e.g., the full standard library reference, detailed error patterns, and common patterns are all duplicated inline), defeating the purpose of progressive disclosure.