conversational-ai-voice-engineering
v0.1.1Conversational voice-AI engineering team — agents for production real-time voice agents: voice-ai-architect (cascade STT->LLM->TTS vs speech-to-speech, the latency budget, turn-taking / barge-in / endpointing, channel choice, build-vs-platform across Twilio / Vapi / Retell / LiveKit / Pipecat, guardrails), speech-pipeline-engineer (ASR & TTS provider choice, streaming transcription, VAD/endpointing, diarization, prosody/SSML, codecs, noise, WER), and dialog-and-integration-engineer (state, LLM orchestration and mid-call tool calling, SIP/PSTN telephony, IVR/DTMF, call routing, flow testing and eval). Ships skills, a knowledge bank (Mermaid decision trees + a dated 2026 reference), best-practices, templates, commands. Engineering judgment, not legal/compliance advice; the ASR/TTS/platform/telephony landscape is volatile — versions and latency numbers carry a retrieval date + [verify-at-use]; no PII, and call audio/transcripts are sensitive. Requires ravenclaude-core@>=0.7.0.
By Matt CorbettLicense: MIT7 GitHub starsUpdated last week
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 4 skill or MCP entries
- Source updated
- Sep 15, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install conversational-ai-voice-engineering for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install conversational-ai-voice-engineering@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/mcorbett51090/RavenClaudeClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/conversational-ai-voice-engineering/.
Plugin files
├── .claude-plugin/plugin.json├── skills/dialog-management-and-tool-calling/SKILL.md├── skills/speech-recognition-and-synthesis/SKILL.md├── skills/telephony-and-call-flow-integration/SKILL.md└── skills/voice-agent-architecture-and-latency/SKILL.md
Included Skills4
Design the dialog layer of a voice agent: explicit dialog-state modeling, LLM orchestration, context/window management over a long call, and mid-call function/tool calling that hides latency with natural fillers and treats tool failure as a first-class branch. Design the unhappy path (silence, misrecognition, tool failure, confusion) before the happy path. Provider/SDK specifics verify-at-use.
Engineer the ASR and TTS layer of a voice agent: choose STT/TTS providers on the channel (narrowband telephony vs wideband web), languages, streaming support, WER, and cost; stream transcription and synthesis to cut latency; tune VAD/endpointing; handle diarization, prosody/SSML, codecs & sample rates, and noise robustness; and measure WER on real audio. Provider/version specifics verify-at-use.
Integrate a voice agent with real telephony and validate it: SIP/PSTN trunking and media handling, WebRTC for web/app, DTMF capture (in-band vs RFC 2833/SIP INFO), IVR-vs-conversational per step, call routing and warm/cold human transfer with context, and a voice-agent eval harness scoring task success, WER, end-to-end latency, and interruption handling on representative recorded calls. Protocol/provider specifics verify-at-use.
Choose the voice-agent pipeline shape (cascade STT->LLM->TTS vs speech-to-speech), the channel (telephony / web / SDK), and the build-vs-platform bet (Twilio / Vapi / Retell / LiveKit / Pipecat), then allocate the end-to-end latency budget per hop and design the turn-taking / barge-in / fallback model. Model/platform/latency specifics verify-at-use.
Plugin manifests1
{
"name": "conversational-ai-voice-engineering",
"version": "0.1.1",
"description": "Conversational voice-AI engineering team — agents for production real-time voice agents: voice-ai-architect (cascade STT->LLM->TTS vs speech-to-speech, the latency budget, turn-taking / barge-in / endpointing, channel choice, build-vs-platform across Twilio / Vapi / Retell / LiveKit / Pipecat, guardrails), speech-pipeline-engineer (ASR & TTS provider choice, streaming transcription, VAD/endpointing, diarization, prosody/SSML, codecs, noise, WER), and dialog-and-integration-engineer (state, LLM orchestration and mid-call tool calling, SIP/PSTN telephony, IVR/DTMF, call routing, flow testing and eval). Ships skills, a knowledge bank (Mermaid decision trees + a dated 2026 reference), best-practices, templates, commands. Engineering judgment, not legal/compliance advice; the ASR/TTS/platform/telephony landscape is volatile — versions and latency numbers carry a retrieval date + [verify-at-use]; no PII, and call audio/transcripts are sensitive. Requires ravenclaude-core@>=0.7.0.",
"author": {
"name": "Matt Corbett"
},
"homepage": "https://github.com/mcorbett51090/RavenClaude",
"license": "MIT",
"keywords": [
"voice-ai",
"conversational-ai",
"speech-to-text",
"text-to-speech",
"asr",
"tts",
"telephony",
"sip",
"ivr",
"barge-in",
"endpointing",
"latency-budget",
"speech-to-speech",
"webrtc",
"call-automation"
],
"requires": {
"plugins": [
"ravenclaude-core@>=0.7.0"
]
}
}For maintainers
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[conversational-ai-voice-engineering on Agent Plugins Marketplace](https://pluginsmp.com/plugins/conversational-ai-voice-engineering)