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Local Voice Input/Output for Agents using the AI Voice Agent API.
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Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
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npx skills add https://github.com/duclm1x1/Dive-Ai --skill voice-agentThe command stays on one line. Scroll horizontally to inspect it before copying.
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Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
Showing SKILL.md
| name | voice-agent |
| display-name | AI Voice Agent Backend |
| version | 1.0.0 |
| description | Local Voice Input/Output for Agents using the AI Voice Agent API. |
| author | trevisanricardo |
| homepage | https://github.com/ricardotrevisan/ai-conversational-skill |
| user-invocable | true |
| disable-model-invocation | false |
This skill allows you to speak and listen to the user using the local Voice Agent API.
transcribe to read it.synthesize to generate the audio file.To transcribe an audio file (Speech-to-Text), run the client script with the transcribe command.
python3 {baseDir}/scripts/client.py transcribe "/path/to/audio/file.ogg"
To generate audio from text and save it to a file (Text-to-Speech), run the client script with the synthesize command.
python3 {baseDir}/scripts/client.py synthesize "Text to speak" --output "/path/to/output.mp3"
To check if the voice agent API is running and healthy:
python3 {baseDir}/scripts/client.py health
If the Health Check fails or you receive a connection error, the service may be stopped.
You can attempt to start it by running:
{baseDir}/scripts/start.sh