camcan-skill
Use this skill whenever the user wants an end-to-end workflow for the Cam-CAN (Cambridge Centre for Ageing and Neuroscience) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, task-fMRI, and MEG, phenotype extraction, and QC integration. Triggers include: 'Cam-CAN', 'CamCAN', 'process Cam-CAN data', 'Cam-CAN MEG', 'Cam-CAN fMRI', or any request to run the Cam-CAN multimodal pipeline.
npx skills add BioTender-max/awesome-bio-agent-skills --skill camcan-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.
# Cam-CAN Skill (Dataset-Orchestration Layer) ## Overview `camcan-skill` is the NeuroClaw orchestration skill for the **Cam-CAN (Cambridge Centre for Ageing and Neuroscience)** dataset. It strictly follows the NeuroClaw hierarchical design principles: - This skill **only describes WHAT needs to be done** and **which tool skill to delegate to**. - It contains **no implementation code or concrete commands**. - All concrete execution is delegated to existing base/tool skills via `claw-shell`. - Companion scripts in `scripts/` provide reference implementations for BIDS validation, phenotype extraction, and QC. **Core workflow (never bypassed):** 1. Identify input Cam-CAN data and target modalities. 2. Generate a **numbered execution plan** clearly stating WHAT needs to be done and which tool skill will handle each step. 3. Present the full plan, estimated runtime, resource requirements, and risks to the user and wait for explicit confirmation ("YES" / "execute" / "proceed"). 4. On confirmation, delegate every step to the appropriate skill via `claw-shell`. 5. After execution, save all outputs in a clean directory structure (`camcan_output/`). **Research use only.** --- ## Quick Referen
- Overview
- Quick Reference
- Dataset Characteristics
- Supported Modalities
- Cam-CAN Task Paradigms
- fMRI Tasks
- MEG Tasks
- BIDS Preparation
- Script: scripts/validatecamcan.py
- Core Workflow (Never Bypassed)
- Modality Processing Delegation
- Standard Output Layout
- Benchmark Adapter Guidance
- Safety and Execution Policy
python skills/camcan-skill/scripts/validate_camcan.py \
What does the camcan-skill skill do?
Use this skill whenever the user wants an end-to-end workflow for the Cam-CAN (Cambridge Centre for Ageing and Neuroscience) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, task-fMRI, and MEG, phenotype extraction, and QC integration. Triggers include: 'Cam-CAN', 'CamCAN', 'process Cam-CAN data', 'Cam-CAN MEG', 'Cam-CAN fMRI', or any request to run the Cam-CAN multimodal pipeline.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill camcan-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.