Content
90%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
An exemplary code-recipe skill: fully executable coverage of the common PDF tasks with zero padding and a useful library-selection table. The only gaps are the implicit scanned-vs-text decision flow and no explicit pointer for navigating beyond the inline recipes.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean throughout: section headers, executable functions with purposeful one-line comments ("10-50x faster than pdfplumber"), and a compact Quick Reference table — no explanation of concepts Claude already knows and no padded prose. | 5 / 5 |
Actionability | Every section is copy-paste-ready executable Python covering the common cases: text, tables to DataFrames/CSV, fast extraction, page ranges, metadata, images, OCR, scanned-check, and two-column layouts. | 5 / 5 |
Workflow Clarity | Each recipe is unambiguous and is_text_pdf provides a decision check, but the scanned-vs-text decision flow is never explicitly sequenced (e.g. "run is_text_pdf first; if False, use ocr_pdf"), leaving a minor sequencing/validation gap. No destructive or risky batch operations are present, so the cap-3 rule does not apply. | 4 / 5 |
Progressive Disclosure | Well-organized task sections with everything appropriately inline and no buried references, but at ~130 lines it exceeds the under-50-lines exception that would allow a reference-free 5; structure is good with only minor organization gaps. | 4 / 5 |
Total | 18 / 20 Passed |