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Tts Skill

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Pluviobyte
tts-skill

Generate cloned narration for the content workspace. Use local IndexTTS2 with the canonical lossless Pluviobyte reference for every local video, voice audition, digital-human narration, and subtitle-ready audio render. Preserve MiniMax only for public-facing articles or tutorials that teach users to connect through the relay service; never use MiniMax for local video production.

Overview

PublisherPluviobyte
Repositoryrnskill
Skill nametts-skill
Stars
1.6K
Forks
181
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

    Published by Pluviobyte on GitHub. Read the source before you install it.

Installation

Install the Tts Skill 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.
  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/Pluviobyte/rnskill.git /tmp/rnskill
mkdir -p .claude/skills
cp -r /tmp/rnskill/skills/tts-skill .claude/skills/tts-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tts Skill 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 Tts Skill 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 Tts Skill 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.

TTS Skill

Route every request into exactly one lane.

Hard Routing Rules

  1. For local video production, use local IndexTTS2 only. Do not call MiniMax, even when MiniMax credentials exist in .env.
  2. Use voice id pluvio-indextts2-calm-v1 and the canonical lossless WAV in automation/config/tts-routing.json. Never use an MP3 as the speaker reference and never replace the canonical reference with the latest output; that would accumulate cloning drift.
  3. Generate the locked narration as lossless WAV. MP3 may be emitted only as a portable audition copy, never as the source for another clone or for final subtitle timing.
  4. Apply the default_delivery.playback_speed declared in automation/config/tts-routing.json to every audition and final WAV. The production default is 1.12x, implemented with FFmpeg atempo so pitch is preserved. Record the effective multiplier in voice_manifest.json.
  5. Do not silently fall back to macOS say, browser speech, MiniMax, or another generic/cloud voice. If IndexTTS2, its model weights, Apple MPS/CPU, or the canonical reference is unavailable, repair the local lane or stop.
  6. Every final narration render must leave voice_manifest.json with provider, voice id, model, canonical reference path and SHA-256, segment contract, output path, and used_fallback=false.
  7. TTS segment durations are planning metadata only. Run ra-audio-to-subtitles against the exact concatenated lossless narration and use its word timestamps for final captions.
  8. For digital-human production, treat the full narration as an audition until the user explicitly approves that exact audio version. Do not describe an unapproved audition as locked or forward it to HeyGen.
  9. Before every local audition or final render, enforce references/pronunciation-lexicon.json. A user-approved pronunciation in that file overrides generic phonetic heuristics. Keep the display spelling separate from TTS text when needed, and stop rather than render a forbidden spelling.

Local Video Lane: IndexTTS2

Read the machine-readable route from:

automation/config/tts-routing.json

Generate a narration from a JSONL segment contract with:

bash
python3 .claude/skills/tts-skill/scripts/generate_indextts2_narration.py \
  --batch-file <segments.jsonl> \
  --output <final-narration.wav> \
  --manifest <voice_manifest.json>

Each non-empty JSONL line must follow the official IndexTTS2 batch contract and contain text; it may also contain emotion_vector, emotion_weight, and silence_after_ms. Default to a calm delivery. Add stronger emotion only when the user explicitly asks for it.

Run --dry-run before a new contract or after changing the local model setup. The helper verifies that the canonical speaker reference is a lossless PCM WAV, invokes the official local IndexTTS2 CLI, normalizes the result, and writes the manifest. Keep the raw WAV beside the normalized WAV for auditability.

For mixed Chinese/English scripts, inspect model names, brands, abbreviations, and numbers before the full render. Load references/pronunciation-lexicon.json first. Entries there are approved production contracts: use their tts value exactly and reject every forbidden_tts form. In particular, keep Codex as the raw English token; never transliterate it as “扣代克斯”, “扣戴克斯”, or “扣德克斯”. For a term that is not yet in the lexicon, audition alternatives while keeping canonical spelling in the display script and final captions. After the user chooses, record that decision in the lexicon before the full render.

Public Article Lane: MiniMax Relay

MiniMax is retained only as the public solution used in articles, tutorials, course examples, and relay-station onboarding. It is not a local production provider. When this lane is requested, read references/minimax-relay-article.md and use assets/minimax_tts.py only for the article/demo example.

QC

Before using narration in a final video:

  • confirm provider is IndexTTS2/indextts2-local
  • confirm voice_id is pluvio-indextts2-calm-v1
  • confirm the reference SHA-256 matches the routing config
  • confirm the recommended output is PCM WAV and decodes successfully
  • confirm playback_speed is 1.12 unless the production contract explicitly overrides the workspace default
  • confirm used_fallback=false and no segment provider is MiniMax
  • confirm the pronunciation contract is present in voice_manifest.json and the approved mixed-language terms were used
  • generate captions from that exact WAV and require caption-qc.json PASS
  • for a digital human, require explicit user approval of the exact audition WAV before any paid avatar generation; changing the audio invalidates approval

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 Tts Skill AI skill do?

Generate cloned narration for the content workspace. Use local IndexTTS2 with the canonical lossless Pluviobyte reference for every local video, voice audition, digital-human narration, and subtitle-ready audio render. Preserve MiniMax only for public-facing articles or tutorials that teach users to connect through the relay service; never use MiniMax for local video production.

Why use Tts Skill on TypingMind?

Because you install it once and use it with any model. Tts Skill 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 Tts Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Pluviobyte/rnskill/tree/main/skills/tts-skill. 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 Tts Skill?

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 Tts Skill?

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

Is the Tts Skill AI skill free?

It is published on GitHub by Pluviobyte. Check the repository for licensing terms. 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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