Agent skill · Data & Analytics

bids-organizer

Use this skill whenever the user wants to automatically organize raw neuroimaging data (DICOM, NIfTI, EEG, etc.) into a valid BIDS (Brain Imaging Data Structure) dataset. Triggers include: 'organize to BIDS', 'BIDS organizer', 'convert to BIDS', 'BIDS conversion', 'bidsify', 'create BIDS dataset', 'raw data to BIDS', or any request to structure data according to BIDS specification.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 11 KB
Bundled scripts: none
Requires: - dcm2nii - claw-shell
Path: skills/neuroclaw/bids-organizer/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

# BIDS Organizer (Tool Layer) ## Overview BIDS Organizer is the NeuroClaw interface-layer skill that automatically converts raw or semi-organized neuroimaging data into a standardized BIDS-compliant dataset. It supports DICOM → NIfTI conversion + BIDS naming, existing NIfTI reorganization, EEG (.set/.edf/.bdf/.fif), and basic metadata handling. The skill generates a clear execution plan, waits for user confirmation, then delegates all heavy work to appropriate base tools. **Core workflow (never bypassed):** 1. Scan input directory and detect data types (DICOM, NIfTI, EEG, etc.). 2. Generate a numbered execution plan with proposed BIDS structure and subject/session labels. 3. Present the plan, estimated time, and risks; wait for explicit confirmation (“YES” / “execute” / “proceed”). 4. On confirmation, delegate tasks to `dcm2nii`, `mne-eeg-tool`, and `claw-shell`. 5. After completion, run BIDS validation and generate a summary report. **Research use only.** ## Quick Reference | Task | What needs to be done | Delegate to which tool skill | Expected output | |-----------------------------------|------------------------------------------------------------|------------------------------

What's inside
Steps it walks through
  1. Overview
  2. Quick Reference
  3. Common Shell Command Examples
  4. Installation (Handled by dependency-planner)
  5. NeuroClaw recommended wrapper script
  6. Important Notes & Limitations
  7. When to Call This Skill
  8. Benchmark-Facing Default Mainline
  9. Direct Mixed-Modality Benchmark Path
  10. Existing DWI NIfTI Sidecar Path
  11. Structural MRI Narrow Path
  12. Post-Execution Verification (Harness Integration)
  13. Complementary / Related Skills
  14. More Advanced Features
Commands it runs
DICOM to BIDS (most common)
dcm2niix -o ./bids/sub-001/ses-01/anat -f "%p_%s" -b y -z y /path/to/dicom/T1
Validate the resulting BIDS dataset
bids-validator /path/to/bids_dataset
dcm2niix --version
bids-validator --version
More from awesome-bio-agent-skills
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About this skill
What does the bids-organizer skill do?

Use this skill whenever the user wants to automatically organize raw neuroimaging data (DICOM, NIfTI, EEG, etc.) into a valid BIDS (Brain Imaging Data Structure) dataset. Triggers include: 'organize to BIDS', 'BIDS organizer', 'convert to BIDS', 'BIDS conversion', 'bidsify', 'create BIDS dataset', 'raw data to BIDS', or any request to structure data according to BIDS specification.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill bids-organizer --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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