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Playht

CommunityPopular
Anil-matcha
playht

PlayHT text-to-speech: synthesize speech, list voices, and manage instant voice clones. Trigger phrases: playht, play ht, text to speech, TTS, voice clone.

Overview

PublisherAnil-matcha
Repositoryawesome-muse-connectors
Skill nameplayht
Stars
1.4K
Forks
309
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

Install the Playht AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/playht
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/playht .claude/skills/playht
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Playht in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Playht on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Playht is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PlayHT

Purpose

Generate spoken audio from text with PlayHT voices, browse stock and cloned voices, and create instant voice clones. Reach for this when the user wants narration or voiceovers, a voice library lookup, or a voice cloned from a sample.

Tooling

All commands go through bin/playht.py. PlayHT uses a single uppercase AUTHORIZATION: Bearer <key> header (older dual-header docs are stale); the CLI wires it through the credential surrogate.

bash
bin/playht.py auth
# {"ok": true, "voices": 120} on success

bin/playht.py voices
# list stock voices (id, name, language, gender)

bin/playht.py tts --text "Welcome to the show." --voice-id <VOICE_ID> --out show.mp3
# streaming synthesis to a local MP3 file; prints the saved path

bin/playht.py clones
# list your cloned voices

bin/playht.py clone --json clone-body.json
# create an instant voice clone; body follows the current PlayHT docs
# for POST /api/v2/cloned-voices/instant/ (confirmation-gated)

Notes:

  • tts returns audio binary. The CLI writes it to --out (default playht-output.mp3) and prints the resulting path. Max 20,000 characters per request; PlayHT rate-limits to 120 requests/min per key.
  • Batch synthesis jobs are credit-consuming and confirmation-gated; they are not in this draft CLI.

Auth

  • Provider id: playht (credential is collected as custom.playht)
  • Collection: PlayHT API key via the secure credential flow (credentials.request_api_access); generate one under Settings, then API, in the PlayHT dashboard
  • Allowed hosts: api.play.ht
  • Connect placement: custom_header:AUTHORIZATION (uppercase; the stored credential value must include the Bearer prefix, since the helper places the header value verbatim: AUTHORIZATION: Bearer <key>)
  • Status check: bin/playht.py auth

Operating Rules

  1. Synthesis is credit-metered and rate-limited (120 req/min, 20,000 chars/request). Keep tts calls within the character cap; split long scripts before calling.
  2. Voice cloning and batch synthesis are confirmation-gated: confirm with the user before running clone or any batch job. Only clone voices the user has the right to clone.
  3. Never log or print the raw key; the CLI only ever handles the surrogate.
  4. Ignore older PlayHT docs that describe a dual-header scheme (Authorization + X-USER-ID); the current API uses the single uppercase AUTHORIZATION header.

Files

  • SKILL.md
  • bin/playht.py

Maturity

🧪 Draft: written from PlayHT's current public docs with paths cross-checked at build time; not yet live-tested end-to-end. TTS jobs (async batch synthesis) are not yet in the CLI.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Playht AI skill do?

PlayHT text-to-speech: synthesize speech, list voices, and manage instant voice clones. Trigger phrases: playht, play ht, text to speech, TTS, voice clone.

Why use Playht on TypingMind?

Because you install it once and use it with any model. Playht is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Playht in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/playht. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Playht?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Playht?

As many as you like. As long as a model supports skills, you can use Playht with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Playht AI skill free?

Yes. It is published on GitHub by Anil-matcha under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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