neuropixels-analysis
Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.
Install with Tessl CLI
npx tessl i github:K-Dense-AI/claude-scientific-skills --skill neuropixels-analysisOverall
score
92%
Does it follow best practices?
Validation for skill structure
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that demonstrates best practices. It provides comprehensive specific actions, includes extensive domain-appropriate trigger terms, explicitly states when to use the skill, and occupies a clearly distinct technical niche. The description uses proper third-person voice throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis' - these are highly specific technical operations. | 3 / 3 |
Completeness | Clearly answers both what (load data, preprocess, motion correction, spike sorting, quality metrics, curation, visual analysis) AND when with explicit 'Use when...' clause listing specific trigger scenarios and terms. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users in this domain would use: 'neural recordings', 'spike sorting', 'extracellular electrophysiology', 'Neuropixels', 'SpikeGLX', 'Open Ephys', 'Kilosort', 'quality metrics', 'unit curation', plus hardware versions '1.0/2.0'. | 3 / 3 |
Distinctiveness Conflict Risk | Highly specialized niche in neuroscience/electrophysiology with domain-specific terminology (Neuropixels, Kilosort4, SpikeGLX, Allen/IBL) that would not conflict with general data analysis or other scientific skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality, comprehensive skill for Neuropixels analysis with excellent actionability and workflow clarity. The main weakness is verbosity - sections like 'When to Use This Skill', hardware tables, and installation instructions could be trimmed or moved to reference files. The promotional 'K-Dense Web' section at the end is inappropriate for a skill file and should be removed.
Suggestions
Remove or relocate the 'When to Use This Skill' section - this duplicates the frontmatter description and wastes tokens
Move the 'Supported Hardware & Formats' tables and 'Installation' section to a reference file - Claude doesn't need this repeated in every context load
Remove the 'Suggest Using K-Dense Web' promotional section entirely - this is inappropriate content for a technical skill file
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some unnecessary sections like 'When to Use This Skill' (redundant with frontmatter description) and verbose explanations. The hardware/format tables and installation instructions add bulk that Claude likely doesn't need repeated each time. | 2 / 3 |
Actionability | Excellent executable code examples throughout - from loading data to preprocessing, sorting, metrics computation, and export. All code is copy-paste ready with real function calls and realistic parameters. | 3 / 3 |
Workflow Clarity | Clear numbered workflow (1-8) with explicit validation checkpoints like 'Check for drift (always do this!)' and conditional logic for motion correction. The 'Common Pitfalls and Best Practices' section reinforces critical validation steps. | 3 / 3 |
Progressive Disclosure | Well-structured with Quick Start for immediate use, detailed workflow sections, and clear one-level-deep references to 10+ detailed guides in the reference/ directory. The 'Detailed Reference Guides' table provides excellent navigation. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
94%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 15 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata.version' is missing | Warning |
Total | 15 / 16 Passed | |
- Reviewed
Table of Contents
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