9Router Text to Speech
decolua/9router
Turns text into spoken audio through a 9Router server, choosing among voices from OpenAI, ElevenLabs, Deepgram, Edge TTS and other providers.
Text-to-speech via KeiRouter /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Inworld voices.
$ npx skills add mydisha/keirouter --skill keirouter-tts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mydisha/keirouter keirouter-tts --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "keirouter-tts" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-tts into .claude/skills/keirouter-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-tts", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mydisha/keirouter/tree/main/skills/keirouter-ttsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mydisha/keirouter --skill keirouter-tts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mydisha/keirouter keirouter-tts --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/keirouter-tts .agents/skills/keirouter-tts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "keirouter-tts" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-tts into .agents/skills/keirouter-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-tts", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mydisha/keirouter --skill keirouter-tts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mydisha/keirouter keirouter-tts --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/keirouter-tts .cursor/skills/keirouter-tts && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "keirouter-tts" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-tts into .cursor/skills/keirouter-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-tts", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mydisha/keirouter.git --path skills/keirouter-tts--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mydisha/keirouter --skill keirouter-tts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mydisha/keirouter keirouter-tts --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/keirouter-tts .gemini/skills/keirouter-tts && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "keirouter-tts" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-tts into .gemini/skills/keirouter-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-tts", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mydisha/keirouter keirouter-ttsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mydisha/keirouter --skill keirouter-tts -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/keirouter-tts .github/skills/keirouter-tts && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "keirouter-tts" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-tts into .github/skills/keirouter-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-tts", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mydisha/keirouter --skill keirouter-tts -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mydisha/keirouter keirouter-tts --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/keirouter-tts .opencode/skills/keirouter-tts && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "keirouter-tts" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-tts into .opencode/skills/keirouter-tts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-tts", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
keirouter-ttsText-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. 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.
Read from SKILL.md and the folder at commit 3d8b702. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curljqFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names these keys or tokens, usually read from environment variables:
KEIROUTER_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from mydisha/keirouter at commit 3d8b702, republished under its MIT licence (© mydisha). 110 words, ~599 tokens.
.claude/skills/keirouter-tts/SKILL.md (or your agent's skills folder).Requires KEIROUTER_URL (and KEIROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter/SKILL.md for setup.
# 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).
POST $KEIROUTER_URL/v1/audio/speech
| Field | Required | Notes |
|---|---|---|
model | yes | voice ID from /v1/models/tts |
input | yes | text to speak |
Query ?response_format=mp3 (default, raw bytes) or ?response_format=json ({audio: base64, format}).
Save MP3:
curl -X POST "$KEIROUTER_URL/v1/audio/speech" \
-H "Authorization: Bearer $KEIROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/tts-1","input":"Hello world"}' \
--output speech.mp3JS (save file):
import { writeFile } from "node:fs/promises";
const r = await fetch(`${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()));Default → raw audio bytes (Content-Type audio/mp3).
?response_format=json:
{ "audio": "SUQzBAAAA...", "format": "mp3" }| Provider | model format | Notes |
|---|---|---|
| OpenAI | tts-1/alloy (model/voice) or just voice | Default model gpt-4o-mini-tts |
| ElevenLabs | <model_id>/<voice_id> or <voice_id> | Default model eleven_flash_v2_5 |
| Edge TTS | voice id e.g. vi-VN-HoaiMyNeural | noAuth; free |
| Deepgram | aura-asteria-en etc | Token auth |
| Inworld | model/voice | Provider-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
Just SKILL.md in skills/keirouter-tts of mydisha/keirouter.
Open the folder on GitHubat commit 3d8b702
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Keirouter Tts this skillmydisha/keirouter | 147 | — | ~599 | Automated safety check: Pass | MIT | |
| 9Router Text to Speechdecolua/9router | 30k | — | ~765 | Automated safety check: Pass | MIT | |
| Voice AI Developmentdavila7/claude-code-templates | 32k | 5 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Video Translatorshang-zhu/violin | 1.1k | — | ~1k | Automated safety check: Notes | MIT | |
| Super Video MakerBomx/super-video-maker-skill | 309 | — | ~11k | Automated safety check: Notes | None | |
| Motion Videobestagentkits/motion-video-skill | 115 | — | ~1.5k | Automated safety check: Pass | MIT |
decolua/9router
Turns text into spoken audio through a 9Router server, choosing among voices from OpenAI, ElevenLabs, Deepgram, Edge TTS and other providers.
davila7/claude-code-templates
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps.
shang-zhu/violin
Dub a video into another language and generate subtitles using the default Together + Cartesia stack.
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
bestagentkits/motion-video-skill
Produce beat-synced 1080p motion-graphic videos in HyperFrames (HTML + GSAP) with an AI voice-over, Vietnamese karaoke captions, SFX and generated music, in one of two proven styles (glass keynote…
amd/skills
Makes this agent generate images, transcribe audio, and synthesize speech on the user's own machine through a local Lemonade Server instead of a paid cloud API.
mydisha/keirouter
Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch.
mydisha/keirouter
Chat / code generation via KeiRouter using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos.
mydisha/keirouter
Generate vector embeddings via KeiRouter /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia embedding models for RAG, semantic search, similarity.
mydisha/keirouter
Generate images via KeiRouter /v1/images/generations using OpenAI DALL-E / Gemini Imagen / FLUX / MiniMax / Stability AI / Fal.ai models.
mydisha/keirouter
Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models.
mydisha/keirouter
Fetch URL → markdown / text / HTML via KeiRouter /v1/web/fetch using Firecrawl / Jina Reader / Tavily Extract / Exa Contents.
Works with
Categories
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.
Keirouter Tts fits situations like: the user wants to convert text to speech; read text aloud.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.