voice-agent
Skill1 starsChanged 14 days agoMITView on GitHub
Local Voice Input/Output for Agents using the AI Voice Agent API.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- deepgram/skillstheir own version, first seen Oct 25, 2026
- saloprj/dialogbrain-claude-plugintheir own version, first seen Sep 16, 2026
- markbaindesign/bain-studiotheir own version, first seen Jul 22, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- deepgram/skills★ 26same name
- markbaindesign/bain-studio★ 0same name
- saloprj/dialogbrain-claude-plugin★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 3 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Audio First: When the user communicates via audio (files), your PRIMARY mode of response is Audio File.
- Distinctive: line 21
Silent Delivery: When sending an audio response, DO NOT send a text explanation like "I sent an audio".
- Very specific: line 24
Use transcribe to read it.
- Very specific: line 26
Use synthesize to generate the audio file.
- Distinctive: line 28
STOP: Do not add text commentary.
- Very specific: line 29
Failure Handling: If health fails or connection errors occur, do not attempt service management from this skill.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Voice Agent
This skill allows you to speak and listen to the user using a local Voice Agent API. It is client-only and does not start containers or services. It uses local Whisper for Speech-to-Text transcription and AWS Polly for Text-to-Speech generation.
Prerequisite
Requires a running backend API at http://localhost:8000.
Backend setup instructions are in this repository:
README.mdwalkthrough.mdDOCKER_README.md
Behavior Guidelines
- Audio First: When the user communicates via audio (files), your PRIMARY mode of response is Audio File.
- Silent Delivery: When sending an audio response, DO NOT send a text explanation like "I sent an audio". Just send the audio file.
- Workflow:
- User sends audio.
- Use
transcribeto read it. - You think of a response.
- Use
synthesizeto generate the audio file. - You send the file.
- STOP. Do not add text commentary.
- Failure Handling: If
healthfails or connection errors occur, do not attempt service management from this skill. Ask the user to start or fix the backend using the repository docs.
Tools
Transcribe File
To transcribe an audio file with local Whisper STT, run the client script with the transcribe command.
python3 {baseDir}/scripts/client.py transcribe "/path/to/audio/file.ogg"Synthesize to File
To generate audio from text with AWS Polly TTS and save it to a file, run the client script with the synthesize command.
python3 {baseDir}/scripts/client.py synthesize "Text to speak" --output "/path/to/output.mp3"Health Check
To check if the voice agent API is running and healthy:
python3 {baseDir}/scripts/client.py healthDoes it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

