Content
50%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill provides excellent actionable code examples covering astropy's major modules, but is significantly too verbose — it repeats information across multiple sections (overview, when to use, core capabilities, quick start, common workflows) and explains concepts Claude already knows. The progressive disclosure structure references appropriate files but includes too much duplicated content inline. Workflow clarity lacks validation and error-handling steps.
Suggestions
Cut the 'When to Use This Skill' section entirely — it restates the overview. Remove the 'Best Practices' section as these are standard practices Claude already knows.
Consolidate 'Quick Start' and 'Common Workflows' into a single concise section with 2-3 key examples; move the rest to reference files.
Trim 'Core Capabilities' to just the module name, a one-line description, and the reference link — the bullet-pointed 'Key operations' lists duplicate what's in the reference files.
Add validation/error-handling guidance to workflows, e.g., checking if FITS HDU exists before accessing, handling coordinate parsing errors, or verifying WCS validity before transformations.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~250+ lines. It explains what astropy is, lists capabilities Claude already knows, repeats information across 'Core Capabilities', 'Common Workflows', and 'Quick Start' sections. The 'When to Use This Skill' section restates what the overview already says. Best practices like 'always use units' and 'use context managers' are basic Python/astropy knowledge Claude already has. | 1 / 3 |
Actionability | The skill provides fully executable, copy-paste ready code examples throughout — coordinate transformations, FITS file reading, cosmological calculations, and catalog cross-matching are all complete and runnable. Import statements are included and the code is concrete rather than pseudocode. | 3 / 3 |
Workflow Clarity | The common workflows section provides clear multi-step examples, but there are no validation checkpoints or error handling steps. For operations like FITS file manipulation or catalog cross-matching, there's no guidance on what to do when things fail, no verification of results, and no feedback loops. | 2 / 3 |
Progressive Disclosure | References to detailed files (references/units.md, references/coordinates.md, etc.) are well-signaled and one level deep, which is good. However, the main SKILL.md contains too much inline content that duplicates what the reference files presumably cover — the 'Core Capabilities' section essentially summarizes each reference file's content, and the 'Common Workflows' section adds even more detail that could live in reference files. No bundle files were provided to verify references exist. | 2 / 3 |
Total | 8 / 12 Passed |