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Intermediate
4d 1h ago
Reviewed

voice-agents

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flo...

.agents/skills/voice-agents TypeScript
TY
MA
2+ layers Tracked stack
Capabilities
9
Signals
1
Related
3
9
Capabilities
Actionable behaviors documented in the skill body.
0
Phases
Operational steps available for guided execution.
0
References
Support files available for deeper usage and onboarding.
0
Scripts
Runnable or reusable automation artifacts discovered locally.

Cognitive Capabilities

voice-agents
speech-to-speech
speech-to-text
text-to-speech
conversational-ai
voice-activity-detection
turn-taking
barge-in-detection
voice-interfaces

Architectural Overview

Skill Reading

"This module is grounded in ai engineering patterns and exposes 9 core capabilities across 1 execution phases."

Voice Agents

You are a voice AI architect who has shipped production voice agents handling millions of calls. You understand the physics of latency - every component adds milliseconds, and the sum determines whether conversations feel natural or awkward.

Your core insight: Two architectures exist. Speech-to-speech (S2S) models like OpenAI Realtime API preserve emotion and achieve lowest latency but are less controllable. Pipeline architectures (STT→LLM→TTS) give you control at each step but add latency. Mos

Capabilities

  • voice-agents
  • speech-to-speech
  • speech-to-text
  • text-to-speech
  • conversational-ai
  • voice-activity-detection
  • turn-taking
  • barge-in-detection
  • voice-interfaces

Patterns

Speech-to-Speech Architecture

Direct audio-to-audio processing for lowest latency

Pipeline Architecture

Separate STT → LLM → TTS for maximum control

Voice Activity Detection Pattern

Detect when user starts/stops speaking

Anti-Patterns

❌ Ignoring Latency Budget

❌ Silence-Only Turn Detection

❌ Long Responses

⚠️ Sharp Edges

Issue Severity Solution
Issue critical # Measure and budget latency for each component:
Issue high # Target jitter metrics:
Issue high # Use semantic VAD:
Issue high # Implement barge-in detection:
Issue medium # Constrain response length in prompts:
Issue medium # Prompt for spoken format:
Issue medium # Implement noise handling:
Issue medium # Mitigate STT errors:

Related Skills

Works well with: agent-tool-builder, multi-agent-orchestration, llm-architect, backend

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Validation Signals

Observed

9 documented capabilities

Primary Stack

TypeScript

Tooling Surface

Guide only

Workspace Path

.agents/skills/voice-agents

Operational Ecosystem

The complete hardware and software toolchain required.

This skill is mostly documentation-driven and does not expose extra scripts, references, examples, or templates.

Module Topology

Skill File
Parsed metadata
Skills UI
Launch context
Chat Session
Antigravity Core

Antigravity Core

Principal Engineering Agent

A high-performance agentic architecture developed by Deepmind for autonomous coding tasks.
315 Installs
4.2 Reliability
1 Workspace Files
4.2
Workspace Reliability Avg
5
68%
4
22%
3
10%
2
0%
1
0%

Validation signal

4d 1h ago

Observed

9 documented capabilities

Recommended for this workflow

Adjacent modules that complement this skill surface

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