Agent skill · Data & Analytics

adhd200-skill

Use this skill whenever the user wants an end-to-end workflow for the ADHD-200 dataset, including download, BIDS organization, and processing of sMRI and rs-fMRI data. Triggers include: 'ADHD-200', 'ADHD200', 'process ADHD data', 'ADHD fMRI', or any request to run the ADHD-200 pipeline. This is the NeuroClaw dataset-orchestration layer for ADHD-200.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill adhd200-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 9 KB
Bundled scripts: none
Requires: - smri-skill - fmri-skill - bids-organizer - claw-shell
Path: skills/neuroclaw/adhd200-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ADHD-200 Skill (Dataset-Orchestration Layer) ## Overview `adhd200-skill` is the NeuroClaw orchestration skill for the **ADHD-200** dataset. It coordinates a fixed three-phase workflow: 1. Download ADHD-200 data from the FCP/INDI repository. 2. Prepare and validate BIDS-style data organization for downstream processing. 3. Delegate modality pipelines to `smri-skill` and `fmri-skill`. It also provides **phenotype extraction** and **QC integration** paths: - Extract and merge ADHD-200 phenotype tables (diagnosis, ADHD measures, demographics, medication). - Generate per-subject QC summaries with exclusion lists. This skill follows NeuroClaw hierarchy: - Defines **WHAT to do**, not low-level implementation details. - Does **not** execute direct shell commands itself. - Delegates all execution via `claw-shell` to base/tool skills. **Research use only.** --- ## Download Stage (Mandatory First Step) ### Source ADHD-200 data is distributed through the **FCP/INDI** repository: - Website: https://fcon_1000.projects.nitrc.org/indi/adhd200/ ### Supported ADHD-200 Data Packages - **Imaging data**: T1w, rs-fMRI (NIfTI format) from 8 imaging sites - **Phenotype data**: CSV files with diagnosis,

What's inside
Steps it walks through
  1. Overview
  2. Download Stage (Mandatory First Step)
  3. Source
  4. Supported ADHD-200 Data Packages
  5. Delegation Rules for Download
  6. Download Inputs to Confirm in Plan
  7. Narrow Path: ADHD-200 Raw NIfTI -> BIDS Staging
  8. When this narrow path should dominate
  9. Narrow-path contract
  10. Expected narrow-path behavior
  11. Core Workflow (Never Bypassed)
  12. Input Layout (Example)
  13. BIDS Preparation
  14. Script: scripts/reorganizeadhd200.py
Commands it runs
python skills/adhd200-skill/scripts/reorganize_adhd200.py \
python skills/adhd200-skill/scripts/extract_adhd200_phenotype.py \
python skills/adhd200-skill/scripts/adhd200_qc_summary.py \
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About this skill
What does the adhd200-skill skill do?

Use this skill whenever the user wants an end-to-end workflow for the ADHD-200 dataset, including download, BIDS organization, and processing of sMRI and rs-fMRI data. Triggers include: 'ADHD-200', 'ADHD200', 'process ADHD data', 'ADHD fMRI', or any request to run the ADHD-200 pipeline. This is the NeuroClaw dataset-orchestration layer for ADHD-200.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill adhd200-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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