Content
86%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.
A comprehensive, highly actionable Neuropixels analysis skill with executable code throughout, clear step sequencing, and excellent one-level-deep progressive disclosure. The main improvement space is tightening prose and adding an explicit validation feedback loop in the workflow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, mostly code-and-tables content with little padding of concepts Claude already knows; a few prose sections (citation boilerplate, long resource link list, inline explanatory notes) could be trimmed, keeping it just above the 'mostly efficient' anchor. | 4 / 5 |
Actionability | Every workflow step ships copy-paste-ready executable Python and bash commands (e.g. the preprocessing chain, run_sorter calls, bundled pipeline invocation), covering the common cases concretely. | 5 / 5 |
Workflow Clarity | Clear 8-step sequence (preprocess → drift check → sort → postprocess → curate → export) with a conditional checkpoint ('Always inspect drift before sorting', 'Apply correction if needed'), but lacks the explicit validate→fix→retry feedback loop of the top anchor. | 4 / 5 |
Progressive Disclosure | SKILL.md is a well-signaled overview pointing one level deep to real reference files (all 10 references/ paths and 6 scripts/ + assets/ files verified to exist), with a 'Detailed Reference Guides' table and a bundled end-to-end pipeline for easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |