The content is lean and efficient, assuming Claude's competence. No unnecessary explanations of what pseudocode is or why it's useful—jumps straight into actionable guidance with well-structured tables and examples.

Provides concrete, executable guidance through detailed tables mapping source elements to pseudocode, a complete worked example with real Python code and its transformation, and specific idiom translations. The output format template is copy-paste ready.

For this type of skill (transformation/extraction), the workflow is implicit but clear: identify abstraction level, apply keep/strip rules, translate idioms, document what was changed. The 'Do not' section provides validation guardrails, and the output format enforces a structured process.

Content is well-organized with clear sections (Keep vs. strip, Abstraction levels, Worked example, Common idioms, Do not, Output format). The comparison to `verified-pseudocode-extractor` at the top provides appropriate cross-referencing. No unnecessary nesting or monolithic walls of text.

Lists specific concrete actions: 'Extracts language-agnostic pseudocode', 'stripping syntax noise and language-specific machinery', 'preserving the algorithmic structure'. These are clear, actionable capabilities.

Clearly answers both what (extracts pseudocode, strips syntax noise, preserves algorithmic structure) AND when with explicit triggers ('Use when documenting an algorithm for a paper or spec, when porting and wanting a neutral intermediate, or when explaining code').

Includes some natural terms like 'pseudocode', 'algorithm', 'porting', 'explaining code', but misses common variations users might say like 'convert to pseudocode', 'simplify code', 'algorithm extraction', or 'code abstraction'.

Has a clear niche focused specifically on pseudocode extraction with distinct use cases (documentation, porting, explanation). Unlikely to conflict with general code analysis or documentation skills due to the specific 'language-agnostic pseudocode' focus.