neuropixels-analysis agent skill by K-Dense-AI
Analyzes Neuropixels extracellular recordings with SpikeInterface, covering data loading, preprocessing, drift correction, Kilosort4 spike sorting, quality metrics, and unit curation.
At a glance
| Publisher | K-Dense-AI |
|---|---|
| Repository | K-Dense-AI/claude-scientific-skills (177 listed skills) |
| Category | Science and Research |
| License | MIT |
| Last commit | October 12, 2026 (repository) |
| SKILL.md | 447 lines, 2,060 words |
| Bundled files | 19 files, including references, scripts, assets or templates |
| Quality score | 87/100 · B Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the badges for this listing |
Before you install
Read from the skill's files at the directory's October 22, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: 8 script files (8 Python). Your agent may run them, so read them first.
- Commands in SKILL.md: its code blocks run
pip install, which fetches or runs software from outside the skill folder. - Credential names SKILL.md mentions:
ANTHROPIC_API_KEY. - License: MIT, an open-source or open-content license.
Install neuropixels-analysis
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/skills/neuropixels-analysis
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/neuropixels-analysis .claude/skills/
rm -rf "$tmp"
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-skills.git "$tmp/repo"
mkdir -p .agents/skills
cp -R "$tmp/repo/"skills/neuropixels-analysis .agents/skills/
rm -rf "$tmp"
For a user-level install, copy the folder to ~/.claude/skills/ (Claude Code) or ~/.agents/skills/ (Codex). Inside Codex, $skill-installer can also fetch a skill from GitHub. New to skills? Read How to install agent skills in Claude Code, Codex and Cursor.
K-Dense-AI/claude-scientific-skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
Analyzes Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Compatibility, from SKILL.md
| Compatibility | Requires Python 3.10+ with SpikeInterface, ProbeInterface, Neo, NumPy, SciPy, pandas, matplotlib, numba and scikit-learn. Optional sorters and models need separate dependencies and network access. |
|---|
Sections in SKILL.md
- Overview
- When to Use This Skill
- Supported Hardware & Formats
- Quick Start
- Import and configure parallel processing
- Loading data
- Full pipeline (bundled script)
- Standard Analysis Workflow
- 1. Preprocessing
- 2. Check and correct drift
- 3. Spike sorting
- 4. Postprocessing
- 5. Curation by metric thresholds
- 6. Model-based curation (UnitRefine)
- 7. AI-assisted curation (for uncertain units)
- 8. Export results
Files in the skill folder
SKILL.mdassets/analysis_template.pyreferences/AI_CURATION.mdreferences/ANALYSIS.mdreferences/AUTOMATED_CURATION.mdreferences/MOTION_CORRECTION.mdreferences/PREPROCESSING.mdreferences/QUALITY_METRICS.mdreferences/SPIKE_SORTING.mdreferences/api_reference.mdreferences/plotting_guide.mdreferences/standard_workflow.mdscripts/_common.pyscripts/compute_metrics.pyscripts/explore_recording.pyscripts/export_to_phy.pyscripts/neuropixels_pipeline.pyscripts/preprocess_recording.pyscripts/run_sorting.py
Suede Skill Check: 87/100 · B
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: a1043ef544e3. Report version abe560152729. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Example request: 0 of 3 points. 3 when the description quotes an example request (3–60 characters in quotation marks).
- Tool permissions declared: 0 of 2 points. 2 when the frontmatter declares allowed-tools.
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
neuropixels-analysis passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 5 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 0 of 3 |
| Instruction depth | 7 of 7 |
| Reference files | 3 of 3 |
| Bundled scripts | 2 of 2 |
| Recent maintenance | 9 of 9 |
| Curated-list citations | 3 of 7 |
| Tool permissions declared | 0 of 2 |
| Compatibility declared | 2 of 2 |
Two badges for neuropixels-analysis
Choose the numeric badge, the letter badge, or both. Each links to this skill’s Suede AI listing; either valid linked badge can qualify for the feature offer.
[](https://suedeai.directory/k-dense-ai/claude-scientific-skills/neuropixels-analysis/)
[](https://suedeai.directory/k-dense-ai/claude-scientific-skills/neuropixels-analysis/)<a href="https://suedeai.directory/k-dense-ai/claude-scientific-skills/neuropixels-analysis/"><img src="https://suedeai.directory/k-dense-ai/claude-scientific-skills/neuropixels-analysis/score.svg" alt="Suede Skill Check: 87/100" width="160" height="175"></a>
<a href="https://suedeai.directory/k-dense-ai/claude-scientific-skills/neuropixels-analysis/"><img src="https://suedeai.directory/k-dense-ai/claude-scientific-skills/neuropixels-analysis/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: Display either quality badge in your repository or skill README, linked to your listing, then request verification. Suede AI checks the rendered README at a recorded commit. Eligible skills scoring 80–99 with a verified badge can receive a featured placement while the offer is open. Request badge verification.
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Where this skill is cited
K-Dense-AI/claude-scientific-skills appears in 2 curated lists: BehiSecc/awesome-claude-skills, travisvn/awesome-claude-skills.