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Chatterbox Modernste Open-Source Text-to-Speech

Ein Agenten-Skill, der auf Chatterbox von Resemble AI basiert, einem modernsten Open-Source Text-to-Speech-Modell mit Zero-Shot-Stimmklonen und mehrsprachiger Synthese. Erzeugt natürlich klingende Sprache aus Text mit Unterstützung für 23 Sprachen, Stimmklonen aus Referenzaudio sowie Emotions-/Stilkontrolle.

Was ist Chatterbox Modernste Open-Source Text-to-Speech?

Dieser Skill befähigt KI-Agenten (wie Claude Code, Cursor, Codex etc.), modernste Open-Source Text-to-Speech-Funktionen zu nutzen, die auf Chatterbox von Resemble AI basieren. Er unterstützt Zero-Shot-Stimmklonen, bei dem aus einer kurzen Referenzaudioaufnahme eine Stimme synthetisiert werden kann, ohne dass ein erneutes Training erforderlich ist. Mit 23 Sprachen, Emotions- und Stilkontrolle eignet er sich für mehrsprachige Anwendungen, personalisierte Sprachassistenten, Hörbücher und Barrierefreiheitslösungen. Die Installation erfolgt über pip oder aus dem Quellcode, wobei Python 3.11 auf Debian 11 empfohlen wird. Der Skill kapselt die zugrunde liegende Bibliothek als konsistentes Tool für Agenten und ermöglicht die direkte Generierung natürlich klingender Audiodateien aus Texteingaben. Zu den unterstützten Plattformen gehören alle gängigen Agenten-Frameworks, die Shell-Befehle oder Python-Integrationen ausführen können.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/chatterbox-sota-open-source-text-to-speech
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Dokumentation

Was macht Chatterbox Modernste Open-Source Text-to-Speech?

Ein Agenten-Skill, der auf Chatterbox von Resemble AI basiert, einem modernsten Open-Source Text-to-Speech-Modell mit Zero-Shot-Stimmklonen und mehrsprachiger Synthese. Erzeugt natürlich klingende Sprache aus Text mit Unterstützung für 23 Sprachen, Stimmklonen aus Referenzaudio sowie Emotions-/Stilkontrolle.

Installation

Verwende den zur Umgebung passenden Upstream-Installations- oder Setup-Pfad:

Anforderungen und Hinweise aus dem Upstream:

  • conda create -yn chatterbox python=3.11

  • Wir haben Chatterbox unter Python 3.11 auf Debian 11 OS entwickelt und getestet; die Versionen der Abhängigkeiten sind in pyproject.toml festgelegt, um Konsistenz zu gewährleisten. Du kannst in diesem Installationsmodus Code oder Abhängigkeiten ändern.
  • python

Grundlegende Nutzungs- oder Einstiegsnotizen:

Quelle

Individual skills in this repo

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

Academic Paper Citation Network Mapper

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ACF Custom Fields REST Exposer

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ACF Extended for Advanced Custom Fields Workflows

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ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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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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