bold5000-skill
Use this skill whenever the user wants an end-to-end workflow for the BOLD5000 dataset, including download, BIDS organization, and processing of task-fMRI data with visual image stimuli. Triggers include: 'BOLD5000', 'BOLD 5000', 'process BOLD5000', 'visual fMRI', or any request to run the BOLD5000 pipeline. This is the NeuroClaw dataset-orchestration layer for BOLD5000.
npx skills add BioTender-max/awesome-bio-agent-skills --skill bold5000-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.
# BOLD5000 Skill (Dataset-Orchestration Layer) ## Overview `bold5000-skill` is the NeuroClaw orchestration skill for the **BOLD5000** dataset. BOLD5000 is a high-density repeated visual fMRI dataset with 8 participants performing 5,000-image visual recognition tasks. It is designed for studying visual object recognition and scene understanding. It coordinates a fixed three-phase workflow: 1. Download BOLD5000 data from the OpenNeuro repository. 2. Prepare and validate BIDS-style data organization for downstream processing. 3. Delegate modality pipelines to `smri-skill` and `fmri-skill`. 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 BOLD5000 data is available on OpenNeuro: - Website: https://bold5000-dataset.github.io/ - OpenNeuro: https://openneuro.org/datasets/ds002785 ### Supported BOLD5000 Data Packages - **Imaging data**: T1w structural, task-fMRI (NIfTI format) - **Stimulus data**: 5,000 natural images with category labels and
- Overview
- Download Stage (Mandatory First Step)
- Source
- Supported BOLD5000 Data Packages
- Delegation Rules for Download
- Download Inputs to Confirm in Plan
- Narrow Path: BOLD5000 Raw NIfTI -> BIDS Staging
- Expected narrow-path behavior
- Core Workflow (Never Bypassed)
- Stimulus Metadata Extraction
- Script: scripts/extractbold5000stimulus.py
- QC Integration
- Script: scripts/bold5000qcsummary.py
- Recommended Output Layout
python skills/bold5000-skill/scripts/extract_bold5000_stimulus.py \ python skills/bold5000-skill/scripts/bold5000_qc_summary.py \
What does the bold5000-skill skill do?
Use this skill whenever the user wants an end-to-end workflow for the BOLD5000 dataset, including download, BIDS organization, and processing of task-fMRI data with visual image stimuli. Triggers include: 'BOLD5000', 'BOLD 5000', 'process BOLD5000', 'visual fMRI', or any request to run the BOLD5000 pipeline. This is the NeuroClaw dataset-orchestration layer for BOLD5000.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill bold5000-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.