What does this skill do, and when should you use it?
9router-tts is one of nine skills bundled in the 9Router monorepo, teaching AI clients how to call 9Router's text-to-speech endpoint. It requires a running 9Router instance configured via NINEROUTER_URL (plus NINEROUTER_KEY when auth is enabled). The skill documents a three-step workflow: discover available TTS models, list voices per provider and language, then POST to /v1/audio/speech. Supported providers include OpenAI, ElevenLabs, OpenRouter, Edge TTS, Google TTS, Deepgram, Hyperbolic, Inworld, Coqui and more, with three providers (edge-tts, google-tts, local-device) needing no authentication. Responses default to raw MP3 bytes or a base64 JSON payload.
The skill is a pure instruction document with no executable scripts. It guides the model to: 1) GET /v1/models/tts to list voice models, GET /v1/models/info for per-model metadata, and GET /v1/audio/voices to list voices per provider (optionally filtered by language, e.g. ?lang=vi); 2) send a JSON body to POST /v1/audio/speech with a voice ID in the model field and text in the input field; 3) receive raw audio bytes (Content-Type audio/mp3) to save as a file, or base64-encoded audio via ?response_format=; 4) adapt the model field per provider (e.g. edge-tts/vi-VN-HoaiMyNeural, el/<voice_id>, tts-1/alloy).
- A developer already running 9Router for AI coding who wants Claude Code or Codex to read logs, errors, or long text aloud during a session
- A content creator producing voiceover for scripts who wants to compare ElevenLabs, OpenAI, and Deepgram voices behind one endpoint
- Users needing specific-language speech (e.g. Vietnamese) via the no-auth edge-tts provider, filtering voices with ?lang=vi
- Automation scripters who want a headless pipeline to write text to an MP3 file with a single curl command
- Offline users who can invoke the local-device provider to synthesize speech with built-in OS voices (macOS say / Windows SAPI)
How do you install this skill?
- This skill is documentation only; you must install and run the 9Router service yourself first.
- Input text is forwarded via 9Router to third-party cloud providers — use caution with sensitive content; some providers are noAuth direct calls.
- Most upstream TTS providers are unreachable from mainland-China networks without a proxy; only a few such as edge-tts may work.
- No documented error handling or failure feedback; issues like 401 or missing ffmpeg require self-debugging.
- All endpoint and model-format claims are static documentation, unverified by execution.
- Shell / CLI
- Network access
- Local filesystem
9Router instance (NINEROUTER_URL, NINEROUTER_KEY if auth enabled)curl or any HTTP clientjq (for discovery examples)ffmpeg (only for local-device provider)
This skill is a SKILL.md inside the 9router monorepo (skills/9router-tts/SKILL.md) — there is no separate installation. Prerequisite: install and run 9Router per the repo README (npm install -g 9router, then 9router; default http://localhost:20128), and set NINEROUTER_URL to that instance; add NINEROUTER_KEY if auth is enabled. Further setup details live in skills/9router/SKILL.md, which this skill explicitly references.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/decolua/9router.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/skills/9router-tts" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Once installed, send your agent any of these to trigger it:
- Authorization: Bearer $NINEROUTER_KEY
- Convert this text to speech using edge-tts voice vi-VN-HoaiMyNeural and save it as MP3
1) Discover voices: curl $NINEROUTER_URL/v1/models/tts | jq '.data[].id'; 2) Generate (example): curl -X POST "$NINEROUTER_URL/v1/audio/speech" -H "Authorization: Bearer $NINEROUTER_KEY" -H "Content-Type: application/" -d '{"model":"openai/tts-1","input":"Hello world"}' --output speech.mp3; 3) Typical trigger prompt: 'Convert this text to speech using edge-tts voice vi-VN-HoaiMyNeural and save it as MP3'. Default responses are raw MP3 bytes; ?response_format= returns {audio: base64, format}.
What are this skill's strengths and limitations?
- A single OpenAI-style endpoint unifies a dozen-plus TTS providers; switching voices is just a model-field change
- Three providers (edge-tts, google-tts, local-device) work with zero authentication
- Voices can be filtered by language (e.g. ?lang=vi), friendly for multilingual/Vietnamese use
- Copy-pasteable curl and Node.js examples plus a per-provider model-format cheat sheet
- Hard dependency on a running 9Router instance — the skill is unusable without one
- Cloud providers (ElevenLabs, Deepgram, Hyperbolic, etc.) require their own paid accounts or tokens; cost depends on upstream vendors
- The skill is documentation only — no scripts, no input validation; error handling is the caller's responsibility
- local-device requires ffmpeg and covers only macOS say / Windows SAPI; Linux support is not mentioned
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| 9Router Text-to-Speech this page | 46 · Use with care | ★ 31k | 17d ago | MIT |
| Speech Generation ✓ OpenAI · Official | 48 · Use with care | ★ 28k | 4mo ago | — |
| Azure Realtime Podcast Studio ✓ Microsoft · Official | 39 · Not recommended | ★ 2.7k | 3mo ago | MIT |
| Azure Short-Audio Speech-to-Text REST ✓ Microsoft · Official | 49 · Use with care | ★ 2.7k | 3mo ago | MIT |
| 9Router Speech-to-Text Skill | 48 · Use with care | ★ 31k | 17d ago | MIT |
The README notes OmniRoute, a TypeScript fork of 9Router, also offers multimodal APIs including TTS. If you need only one vendor, calling OpenAI or ElevenLabs APIs directly is simpler — this skill's value is the unified multi-provider entry point plus no-auth fallbacks.
How did FollowSkills review this skill?
The skill itself is only HTTP API documentation; it requires NINEROUTER_URL/NINEROUTER_KEY env vars and performs no file access or destructive operations, with no hidden permissions. Deducted for: input text is sent to the local 9Router and forwarded to multiple cloud TTS providers (several marked noAuth such as edge-tts/google-tts, meaning content leaves to third parties); data-flow disclosure is thin and there is no confirmation or rollback discussion.
The curl/JS examples are internally consistent and endpoint, field and response-format documentation is clear. Deducted for: total dependence on the external 9Router service and upstream TTS provider availability; no tests, no documented error codes or failure feedback (e.g., 401, missing ffmpeg); key paths could not be reproduced in a static review.
The trigger description is explicit (text-to-speech, voiceover, narration) and the provider-quirks table documents per-provider model formats and boundaries (noAuth, ffmpeg requirement). Deducted for: no declared prerequisite that 9Router must be installed and running, and no mainland-China reachability discussion — most upstream providers (OpenAI, ElevenLabs, Google) are not directly reachable from mainland China; only a few like edge-tts may work.
Well-structured with progressive disclosure, MIT license, versioned repository and CI. Deducted for: the skill itself has no version/changelog/known-limitations list, setup is deferred to another SKILL.md whose content was not provided here, and maintenance responsibility is only implicit at the repository level.
If 9Router is running, following the doc should yield a directly usable audio file with two output formats (raw bytes/base64). Deducted for: value depends entirely on the external service, output correctness cannot be verified statically, marginal value over calling provider APIs directly is limited (mainly a unified entry point), and no representative output evidence is provided.
Auditable source code exists (the ping.js logic shows how STT paths are probed) plus README ecosystem notes. Deducted for: the TTS skill's key claims (per-provider model formats, response shapes) have no test suite, no CI coverage and no third-party execution evidence — author assertions only.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →