dmt-har-med-skill
Use this skill whenever the user wants an end-to-end workflow for the DMT-HAR-MED dataset (ds006644), including download, BIDS organization, and processing of rs-fMRI data from a psychedelic intervention study. Triggers include: 'DMT-HAR-MED', 'DMT HAR MED', 'ds006644', 'process DMT data', 'psychedelic fMRI', or any request to run the DMT-HAR-MED pipeline. This is the NeuroClaw dataset-orchestration layer for DMT-HAR-MED.
npx skills add BioTender-max/awesome-bio-agent-skills --skill dmt-har-med-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.
# DMT-HAR-MED Skill (Dataset-Orchestration Layer) ## Overview `dmt-har-med-skill` is the NeuroClaw orchestration skill for the **DMT-HAR-MED** dataset (OpenNeuro ds006644). DMT-HAR-MED contains rs-fMRI data from 40 participants in a psychedelic intervention study investigating the effects of N,N-Dimethyltryptamine (DMT) on brain function. The dataset includes multiple experimental conditions (DMT, placebo) and behavioral/physiological measurements. It coordinates a fixed three-phase workflow: 1. Download DMT-HAR-MED data from OpenNeuro. 2. Prepare and validate BIDS-style data organization. 3. Delegate fMRI processing to `fmri-skill`. It also provides **phenotype extraction** and **QC integration** paths: - Extract DMT-HAR-MED phenotype data (intervention conditions, behavioral measures). - 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 DMT-HAR-MED data is available on OpenNeuro:
- Overview
- Download Stage (Mandatory First Step)
- Source
- Supported DMT-HAR-MED Data Packages
- Delegation Rules for Download
- Download Inputs to Confirm in Plan
- Core Workflow (Never Bypassed)
- BIDS Preparation
- Script: scripts/reorganizedmtharmed.py
- Phenotype Extraction
- Script: scripts/extractdmtharmedphenotype.py
- QC Integration
- Script: scripts/dmtharmedqcsummary.py
- Recommended Output Layout
python skills/dmt-har-med-skill/scripts/reorganize_dmt_har_med.py \ python skills/dmt-har-med-skill/scripts/extract_dmt_har_med_phenotype.py \ python skills/dmt-har-med-skill/scripts/dmt_har_med_qc_summary.py \
What does the dmt-har-med-skill skill do?
Use this skill whenever the user wants an end-to-end workflow for the DMT-HAR-MED dataset (ds006644), including download, BIDS organization, and processing of rs-fMRI data from a psychedelic intervention study. Triggers include: 'DMT-HAR-MED', 'DMT HAR MED', 'ds006644', 'process DMT data', 'psychedelic fMRI', or any request to run the DMT-HAR-MED pipeline. This is the NeuroClaw dataset-orchestration layer for DMT-HAR-MED.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill dmt-har-med-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.
