Microsoft Edge TTS
Synthesize text to speech using Microsoft Edge Read Aloud voices (no API key).
Skill by lordmacu
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/lordmacu-microsoft-edge-tts
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: backend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/microsoft-edge-tts
What's inside
- Skill name
Microsoft Edge TTS- Description
- Synthesize text to speech using Microsoft Edge Read Aloud voices (no API key).
- License
- Apache-2.0
- Instructions
- 44 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "Microsoft Edge TTS" does not match folder "msedge-tts"
Files (1)
- SKILL.md
SKILL.md (first lines)
# Microsoft Edge TTS Use this skill to convert text into spoken audio. Backed by the `msedge-tts` extension which uses the free Microsoft Edge Read Aloud backend via the `msedge_tts` crate — no API key required. ## Use when - "Read this aloud" / "say this out loud" - "Generate audio from this text" - "Make a voice note that says ..." - User wants an MP3/WAV of spoken text ## Do not use when - Speech-to-text (transcription) — use `openai-whisper` - Real-time streaming TTS with low latency — this writes a file after full synthesis - Cloned / custom voices — only the public Edge voice catalog is available ## Tools - `status` — returns defaults (voice, audio format, output dir) - `list_voices` — list Edge voices; supports `query` substring filter and `limit` - `synthesize` — write an audio file from `text`; optional `voice`, `audio_format`, `rate`, `pitch`, `volume`, `output_path` Default voice: `en-US-EmmaMultilingualNeural`. Default format: `audio-24khz-48kbitrate-mono-mp3`. Default output dir: `$TMPDIR/agent-msedge-tts/speech-<timestamp>.mp3`. ## Typical flow 1. `list_voices` with a language query (e.g. `"es-"`, `"en-US"`, `"multilingual"`) to pick a voice. 2. `synthesize` with `text` and the chosen `voice`. Grab `output_path` from the response to send or play the audio. ## Notes - `rate`, `pitch`, `volume` are provider-native integer adjustments (0 = neutral). - File extension is inferred from `audio_format` (mp3 / wav / webm / ogg / opus / amr). - Empty `text` is rejected.
From lordmacu/nexo-rs, Apache-2.0.
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Signals
- Stars
- 8
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- Apr 24, 2026 (6 months ago)
- Last release
- May 11, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/lordmacu/nexo-rs
- Website
- lordmacu.github.io/nexo-rs/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
Microsoft Edge TTS skill. Agent Mart. https://agentmart.dev/skills/lordmacu-microsoft-edge-tts (last updated 2026-10-24)