Agent skill

Keirouter Tts

by mydisha in mydisha/keirouter

Text-to-speech via KeiRouter /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Inworld voices.

MITAuto-check passedMedia & Creative

Install Keirouter Tts

skills CLI
$ npx skills add mydisha/keirouter --skill keirouter-tts -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mydisha/keirouter keirouter-tts --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/keirouter-tts .claude/skills/keirouter-tts && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
keirouter-tts
GitHub stars
147
Token cost
~599 tokens
SKILL.md length
110 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Text-to-speech via KeiRouter /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Inworld voices.

  • The user wants to convert text to speech
  • SKILL.md covers Discover, Endpoint, Examples and Response shape, plus 1 more section
  • Calls curl and jq; needs KEIROUTER_KEY
  • Read text aloud

What it does

Keirouter Tts is an agent skill from mydisha/keirouter. Text-to-speech via KeiRouter /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Text to speech and voice. It works with OpenAI, Deepgram and ElevenLabs. The repository describes itself as: Your friendly, blazing-fast, self-hostable AI gateway. The licence is MIT.

When your agent uses it

  • The user wants to convert text to speech
  • Read text aloud

Example prompts

  • “/keirouter-tts”

Requirements

  • A credential in KEIROUTER_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 3d8b702. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • KEIROUTER_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Keirouter Tts loads about 599 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 110 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~599

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mydisha/keirouter at commit 3d8b702, republished under its MIT licence (© mydisha). 110 words, ~599 tokens.

Download SKILL.mdSave it as .claude/skills/keirouter-tts/SKILL.md (or your agent's skills folder).
name
keirouter-tts
description
Text-to-speech via KeiRouter /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.

KeiRouter — Text-to-Speech

Requires KEIROUTER_URL (and KEIROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter/SKILL.md for setup.

Discover

bash
# 1) List models
curl $KEIROUTER_URL/v1/models/tts | jq '.data[].id'
# 2) Per-model metadata (params, voicesUrl if voice-by-id)
curl "$KEIROUTER_URL/v1/models/info?id=el/eleven_multilingual_v2"

model field in /v1/audio/speech = voice ID directly (e.g. edge-tts/vi-VN-HoaiMyNeural, el/<voice_id>, or openai/tts-1 model+default voice).

Endpoint

POST $KEIROUTER_URL/v1/audio/speech

FieldRequiredNotes
modelyesvoice ID from /v1/models/tts
inputyestext to speak

Query ?response_format=mp3 (default, raw bytes) or ?response_format=json ({audio: base64, format}).

Examples

Save MP3:

bash
curl -X POST "$KEIROUTER_URL/v1/audio/speech" \
  -H "Authorization: Bearer $KEIROUTER_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/tts-1","input":"Hello world"}' \
  --output speech.mp3

JS (save file):

js
import { writeFile } from "node:fs/promises";
const r = await fetch(`${process.env.KEIROUTER_URL}/v1/audio/speech`, {
  method: "POST",
  headers: { "Authorization": `Bearer ${process.env.KEIROUTER_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({ model: "el/eleven_multilingual_v2", input: "Hello world" }),
});
await writeFile("speech.mp3", Buffer.from(await r.arrayBuffer()));

Response shape

Default → raw audio bytes (Content-Type audio/mp3).

?response_format=json:

json
{ "audio": "SUQzBAAAA...", "format": "mp3" }

Provider quick reference

Providermodel formatNotes
OpenAItts-1/alloy (model/voice) or just voiceDefault model gpt-4o-mini-tts
ElevenLabs<model_id>/<voice_id> or <voice_id>Default model eleven_flash_v2_5
Edge TTSvoice id e.g. vi-VN-HoaiMyNeuralnoAuth; free
Deepgramaura-asteria-en etcToken auth
Inworldmodel/voiceProvider-specific auth

© mydisha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/keirouter-tts of mydisha/keirouter.

Open the folder on GitHubat commit 3d8b702

Compare with similar skills

Keirouter Tts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Keirouter Tts compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Keirouter Tts this skillmydisha/keirouter147—~599Automated safety check: PassMIT
9Router Text to Speechdecolua/9router30k—~765Automated safety check: PassMIT
Voice AI Developmentdavila7/claude-code-templates32k5 repos~2.1kAutomated safety check: PassMIT
Video Translatorshang-zhu/violin1.1k—~1kAutomated safety check: NotesMIT
Super Video MakerBomx/super-video-maker-skill309—~11kAutomated safety check: NotesNone
Motion Videobestagentkits/motion-video-skill115—~1.5kAutomated safety check: PassMIT

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More from mydisha/keirouter

All 8 skills in this repo
  • Keirouter

    mydisha/keirouter

    Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch.

    147 GitHub stars~995 tokensUpdated 29 days ago
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  • Keirouter Chat

    mydisha/keirouter

    Chat / code generation via KeiRouter using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos.

    147 GitHub stars~859 tokensUpdated 29 days ago
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  • Keirouter Embeddings

    mydisha/keirouter

    Generate vector embeddings via KeiRouter /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia embedding models for RAG, semantic search, similarity.

    147 GitHub stars~577 tokensUpdated 29 days ago
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  • Keirouter Image

    mydisha/keirouter

    Generate images via KeiRouter /v1/images/generations using OpenAI DALL-E / Gemini Imagen / FLUX / MiniMax / Stability AI / Fal.ai models.

    147 GitHub stars~691 tokensUpdated 29 days ago
    Auto-check passed
  • Keirouter Stt

    mydisha/keirouter

    Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models.

    147 GitHub stars~680 tokensUpdated 29 days ago
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  • Keirouter Web Fetch

    mydisha/keirouter

    Fetch URL → markdown / text / HTML via KeiRouter /v1/web/fetch using Firecrawl / Jina Reader / Tavily Extract / Exa Contents.

    147 GitHub stars~741 tokensUpdated 29 days ago
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Questions about Keirouter Tts

What does Keirouter Tts do?

Text-to-speech via KeiRouter /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Inworld voices. Keirouter Tts is an agent skill from mydisha/keirouter. Text-to-speech via KeiRouter /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Inworld voices.

When should I use Keirouter Tts?

Keirouter Tts fits situations like: the user wants to convert text to speech; read text aloud.

How do I install Keirouter Tts in Claude Code?

Run `npx skills add mydisha/keirouter --skill keirouter-tts -a claude-code`. Or copy the skill folder (skills/keirouter-tts in mydisha/keirouter) into .claude/skills/keirouter-tts in your project. Claude Code loads it when a task matches its description.

How do I install Keirouter Tts in Codex?

Run `npx skills add mydisha/keirouter --skill keirouter-tts -a codex`. Or copy the skill folder (skills/keirouter-tts in mydisha/keirouter) into .agents/skills/keirouter-tts in your project. Codex loads it when a task matches its description.

Can I use Keirouter Tts in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mydisha/keirouter --skill keirouter-tts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keirouter-tts, .gemini/skills/keirouter-tts, .github/skills/keirouter-tts and .opencode/skills/keirouter-tts in your project.

What does Keirouter Tts need to run?

Going by SKILL.md and its folder, Keirouter Tts needs the command-line tools its instructions call (curl and jq) and credentials named KEIROUTER_KEY. Our summary lists: A credential in KEIROUTER_KEY.

Does Keirouter Tts access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Keirouter Tts safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Keirouter Tts use?

Keirouter Tts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Keirouter Tts use?

About 599 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Keirouter Tts?

Skills that share tags, products or a category with Keirouter Tts: 9Router Text to Speech (decolua/9router, 30k stars), Voice AI Development (davila7/claude-code-templates, 32k stars), Video Translator (shang-zhu/violin, 1.1k stars) and Super Video Maker (Bomx/super-video-maker-skill, 309 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Keirouter Tts?

mydisha (a GitHub user) maintains it in mydisha/keirouter, which has 147 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 11, 2026.

Source: mydisha/keirouter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.