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Pipecat으로 음성 및 멀티모달 에이전트 구축하기

Pipecat을 사용하여 실시간 음성 및 멀티모달 에이전트 파이프라인을 전송, 모델 제공자, 도구 및 턴 테이킹 테스트와 함께 정의합니다.

Pipecat으로 음성 및 멀티모달 에이전트 구축하기란 무엇인가요?

이 스킬은 Pipecat을 활용하여 실시간 음성 및 멀티모달 대화형 에이전트를 구축하는 방법을 제공합니다. Pipecat은 오픈소스 파이썬 프레임워크로, 단일 음성 에이전트부터 전문가가 작업을 전달하거나 병렬로 확장되는 멀티 에이전트 시스템까지 다양한 구성을 지원합니다. 주로 Claude Code, Cursor 및 일반적인 AI 에이전트 플랫폼에서 사용되며, 전송 계층, 모델 제공자, 도구 및 턴 테이킹 테스트를 통합한 파이프라인을 정의합니다. 설치 과정은 uv 패키지 매니저를 통해 간단히 진행할 수 있으며, 최소 Python 3.11이 필요합니다. 이 스킬은 공식 문서 및 GitHub 저장소를 기반으로 하여 개발자에게 빠른 시작 가이드와 함께 실제 구현 가능한 코드 예제를 제공합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-voice-and-multimodal-agents-with-pipecat
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

문서

Pipecat으로 음성 및 멀티모달 에이전트 구축하기은(는) 무엇을 하나요?

Pipecat을 사용하여 실시간 음성 및 멀티모달 에이전트 파이프라인을 전송, 모델 제공자, 도구 및 턴 테이킹 테스트와 함께 정의합니다.

전제 조건

Pipecat, 오디오 또는 비디오 전송, 모델 제공자 자격 증명

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • uv 설치
  • uv init my-pipecat-app
  • uv add pipecat-ai
  • uv add "pipecat-ai[option,...]"

업스트림의 요구 사항 및 주의 사항:

  • Pipecat은 실시간 음성 및 멀티모달 대화형 에이전트를 구축하기 위한 오픈소스 파이썬 프레임워크입니다. 단일 음성 에이전트 또는 전문가가 작업을 전달하고, 병렬로 확장되거나 공유 버스를 통해 사이드카로 실행되는 전체 멀티 에이전트 시스템을 구축할 수 있습니다.
  • 최소 Python 버전: 3.11

기본 사용법 또는 시작하기 노트:

문서

출처

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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