voice_command_to_skill
Maps natural language voice commands to concrete LabClaw skill invocations. Parses ASR output, identifies intent, selects target skill, fills parameters from context, and provides prompt templates — enabling hands-free, voice-driven anywhere-lab experiences where researchers control analysis, guidance, and data export by speaking.
npx skills add BioTender-max/awesome-bio-agent-skills --skill voice_command_to_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.
# Voice Command to Skill ## Overview `voice_command_to_skill` is the voice-to-action bridge of the LabOS anywhere-lab stack. It takes natural language speech — transcribed by an ASR engine (Whisper, Azure Speech, Google Cloud) — and maps it to a specific LabClaw skill call with filled parameters. Commands like "check if I added the enzyme", "what's the next step?", "export my data to Excel", or "did I miss any steps?" are parsed into intent, matched to skills (`protocol_video_matching`, `detect_common_wetlab_errors`, `extract_experiment_data_from_video`, etc.), and executed with context-aware parameters. The skill provides prompt templates, parameter extraction logic, and fallback handling so that voice-driven lab workflows remain robust under noisy conditions, ambiguous phrasing, or partial context. ## When to Use This Skill Use this skill when any of the following conditions are present: - **Hands-free lab operation**: A researcher is wearing XR glasses or has gloves on and cannot type or tap; they must control the system by voice — "run compliance check", "show me the growth curve", "pause protocol". - **Anywhere-lab / remote supervision**: A PI or remote expert monitors a lab v
- Overview
- When to Use This Skill
- Core Capabilities
- 1. Intent Recognition & Skill Mapping
- 2. Parameter Extraction & Context Filling
- 3. Prompt Templates for Skill Invocation
- 4. Session Context Management
- 5. Error Handling & Clarification
- 6. Multi-Language & Accent Robustness
- Usage Examples
- Example 1 — "Check if I added the enzyme"
- Example 2 — "Export to Excel"
- Example 3 — "What's next?" (Next Step)
- Example 4 — Compound: "Analyze and export"
What does the voice_command_to_skill skill do?
Maps natural language voice commands to concrete LabClaw skill invocations. Parses ASR output, identifies intent, selects target skill, fills parameters from context, and provides prompt templates — enabling hands-free, voice-driven anywhere-lab experiences where researchers control analysis, guidance, and data export by speaking.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill voice_command_to_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.