abcd-skill
Use this skill whenever the user wants an end-to-end workflow for the ABCD Study dataset, including download via NIMH Data Archive, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'ABCD Study', 'ABCD data', 'process ABCD', 'ABCD fMRI', 'ABCD sMRI', 'ABCD diffusion', or any request to run the ABCD multimodal pipeline. This is the NeuroClaw dataset-orchestration layer for ABCD.
npx skills add BioTender-max/awesome-bio-agent-skills --skill abcd-skill --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ABCD Skill (Dataset-Orchestration Layer) ## Overview `abcd-skill` is the NeuroClaw orchestration skill for the **ABCD Study (Adolescent Brain Cognitive Development)** dataset. It coordinates a fixed three-phase workflow: 1. Download ABCD data from the NIMH Data Archive (NDA). 2. Prepare and validate BIDS-style data organization for downstream processing. 3. Delegate modality pipelines to `smri-skill`, `fmri-skill`, and `dwi-skill`. It also provides **phenotype extraction** and **QC integration** paths: - Extract and merge ABCD phenotype tables (mental health, cognition, substance use, etc.). - 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 ABCD data is distributed through the **NIMH Data Archive (NDA)**: - Website: https://abcdstudy.org/ - Data access: https://nda.nih.gov/ (requires NDA account and data use agreement) ### Supported ABCD Data Packages - **ABCD Study 5.1** (late
- Overview
- Download Stage (Mandatory First Step)
- Source
- Supported ABCD Data Packages
- Delegation Rules for Download
- Download Inputs to Confirm in Plan
- Narrow Path: ABCD Raw NIfTI -> BIDS Staging
- When this narrow path should dominate
- Narrow-path contract
- Expected narrow-path behavior
- Core Workflow (Never Bypassed)
- Input Layout (Example)
- BIDS Preparation
- Script: scripts/reorganizeabcd.py
python skills/abcd-skill/scripts/reorganize_abcd.py \ python skills/abcd-skill/scripts/extract_abcd_phenotype.py \ python skills/abcd-skill/scripts/abcd_qc_summary.py \
What does the abcd-skill skill do?
Use this skill whenever the user wants an end-to-end workflow for the ABCD Study dataset, including download via NIMH Data Archive, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'ABCD Study', 'ABCD data', 'process ABCD', 'ABCD fMRI', 'ABCD sMRI', 'ABCD diffusion', or any request to run the ABCD multimodal pipeline. This is the NeuroClaw dataset-orchestration layer for ABCD.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill abcd-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.