Agent skill · Media & Video

realtime_protocol_guidance_prompts

Generates short, imperative guidance prompts for the next experimental step from current video frame and protocol context. Output is optimized for voice broadcast (TTS) or AR overlay — concise, actionable, command-style — to guide researchers in real time, correct deviations, or resume experiments without breaking flow.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/labclaw/realtime_protocol_guidance_prompts/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

# Real-Time Protocol Guidance Prompts ## Overview `realtime_protocol_guidance_prompts` is the prompt-generation layer of the LabOS real-time XR guidance stack. Given the current first-person video frame (or VLM-derived scene description) and the active protocol context — current step, expected action, detected deviation, and operator state — it produces a single short guidance string optimized for voice synthesis (TTS) or AR overlay display. The output is imperative, concise, and actionable: "Add 50 µL buffer now." / "Vortex before proceeding." / "Step 4 complete. Move to pipette." — enabling hands-free, eyes-on-bench guidance that keeps the researcher in flow without interrupting to read a screen. ## When to Use This Skill Use this skill when any of the following conditions are present: - **Live XR-assisted protocol execution**: An operator wearing an XR headset is executing a wet-lab protocol and needs step-by-step voice or AR prompts at each transition — the agent must generate the next prompt based on current frame and protocol state. - **Deviation correction delivery**: `protocol_video_matching` has detected a deviation (e.g., skipped step, wrong volume) and the agent must con

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Core Capabilities
  4. 1. Context-Aware Prompt Generation
  5. 2. Prompt Types & Templates
  6. 3. TTS & AR Overlay Optimization
  7. 4. Deviation-to-Prompt Mapping
  8. 5. Protocol Step Parsing for Prompt Extraction
  9. 6. Timing & Throttling
  10. Usage Examples
  11. Example 1 — Next-Step Prompt (Normal Flow)
  12. Example 2 — Correction Prompt (Deviation Detected)
  13. Example 3 — Reminder (Timeout)
  14. Example 4 — Multi-Language (Spanish)
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About this skill
What does the realtime_protocol_guidance_prompts skill do?

Generates short, imperative guidance prompts for the next experimental step from current video frame and protocol context. Output is optimized for voice broadcast (TTS) or AR overlay — concise, actionable, command-style — to guide researchers in real time, correct deviations, or resume experiments without breaking flow.

How do I install it?

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