Bluesky Data Collection

SkillDev tools

Bluesky experimental orchestration skill for scan automation, data collection, and metadata management

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Bluesky Data Collection skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/physics/skills/bluesky-data-collection/SKILL.md and read by ahel’s review.

Purpose

Provides expert guidance on Bluesky for experimental orchestration, including scan automation and data management.

Capabilities

  • Scan plan execution
  • Adaptive scanning
  • Databroker integration
  • Live visualization
  • Hardware abstraction (ophyd)
  • Jupyter integration

Usage Guidelines

  1. Scan Plans: Use built-in or custom scan plans
  2. Adaptive Scans: Implement adaptive scanning strategies
  3. Data Storage: Configure databroker for data management
  4. Visualization: Set up live plotting during scans
  5. Hardware: Define devices with ophyd

Tools/Libraries

  • Bluesky
  • ophyd
  • databroker

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
bluesky-data-collection
Source
github.com/a5c-ai/babysitter