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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.

64

Quality

78%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./backend/cli/skills/biology/neuropixels-analysis/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, actionable pipeline guide with real bundle files and clear sequencing, weakened mainly by missing validation loops for batch operations and a few broken reference paths.

Suggestions

Add explicit validation checkpoints after spike sorting and export steps (e.g. verify output folder contents, check analyzer extension data) with a fix-and-retry loop.

Fix the three reference links that say 'reference/' to 'references/' so navigation matches the actual directory.

Either install or clearly stub the 'neuropixels_analysis' wrapper used in examples, or replace those calls with the underlying SpikeInterface calls to keep examples fully executable.

DimensionReasoningScore

Conciseness

Mostly efficient and code-forward with little explanation of concepts Claude already knows, though 'Common Pitfalls' and 'Key Parameters' partially restate the workflow and could be trimmed.

4 / 5

Actionability

Executes copy-paste SpikeInterface code throughout covering common cases, but several examples rely on a 'neuropixels_analysis' wrapper module that is not part of the standard install, introducing a minor gap.

4 / 5

Workflow Clarity

An 8-step pipeline is clearly sequenced with a drift checkpoint, but batch/destructive operations (sorting, exports, folder overwrites) lack explicit validate→fix→retry loops, capping clarity at 3 per the batch-operations guideline.

3 / 5

Progressive Disclosure

Good one-level-deep structure with a reference table and inline links to real bundle files, but three links use 'reference/' (singular) while the actual directory is 'references/', creating a navigation mismatch.

4 / 5

Total

15

/

20

Passed

Description

88%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, concrete description that covers the full pipeline and gives explicit trigger guidance in third person. It would benefit from adding common file extensions users naturally mention.

Suggestions

Add file extensions users naturally mention (e.g. .ap.bin, .lf.bin, .meta, .nwb, .continuous) to the trigger clause for fuller keyword coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across the pipeline — 'Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis' — giving comprehensive coverage of capabilities.

5 / 5

Completeness

Explicitly answers both 'what' (the action list) and 'when' ('Use when working with neural recordings, spike sorting... or when the user mentions...').

5 / 5

Trigger Term Quality

Strong natural keywords with synonyms ('Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, unit curation'), but file extensions like .ap.bin or .nwb that users would mention are missing.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (Neuropixels extracellular ephys) with distinct named triggers and minimal overlap with other skills.

5 / 5

Total

19

/

20

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 10 missing

Warning

Total

13

/

16

Passed

Repository
synthetic-sciences/openscience
Reviewed

Table of Contents

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