ElevenLabs text-to-speech with mac-style say UX. An agent skill from trpc-group/trpc-agent-go.

Apache-2.0Auto-check passedMedia & Creative

Install Sag

skills CLI
$ npx skills add trpc-group/trpc-agent-go --skill sag -a claude-code

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

GitHub CLI
$ gh skill install trpc-group/trpc-agent-go sag --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/trpc-group/trpc-agent-go.git skills-src && mkdir -p .claude/skills && cp -r skills-src/openclaw/skills/sag .claude/skills/sag && 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
sag
GitHub stars
1.8k
Used in
16 other repos
Token cost
~574 tokens
SKILL.md length
194 words
Files
1
Skills in repo
47
Repo updated
First seen
Licence
Apache-2.0

At a glance

ElevenLabs text-to-speech with mac-style say UX. An agent skill from trpc-group/trpc-agent-go.

  • Tasks that involve Text to speech and voice
  • Needs ELEVENLABS_API_KEY and SAG_API_KEY

What it does

Sag is an agent skill from trpc-group/trpc-agent-go. ElevenLabs text-to-speech with mac-style say UX.

Its SKILL.md is about 570 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 ElevenLabs. The repository describes itself as: A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Text to speech and voice

Example prompts

  • “Use the sag skill to elevenlab text-to-speech with mac-style say UX. An agent skill from trpc-group/trpc-agent-go”
  • “/sag”

Requirements

  • A credential in ELEVENLABS_API_KEY
  • A credential in SAG_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 9bb1c42. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

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

    • ELEVENLABS_API_KEY
    • SAG_API_KEY

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

Context cost

Sag loads about 574 tokens when it runs. Until then it costs about 13 tokens; SKILL.md has 194 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~13
When it runs · the whole SKILL.md, loaded when a task matches
~574

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 trpc-group/trpc-agent-go at commit 9bb1c42, republished under its Apache-2.0 licence (© trpc-group). 194 words, ~574 tokens.

Download SKILL.mdSave it as .claude/skills/sag/SKILL.md (or your agent's skills folder).
name
sag
description
ElevenLabs text-to-speech with mac-style say UX.
homepage
https://sag.sh

sag

Use sag for ElevenLabs TTS with local playback.

API key (required)

  • ELEVENLABS_API_KEY (preferred)
  • SAG_API_KEY also supported by the CLI

Quick start

  • sag "Hello there"
  • sag speak -v "Roger" "Hello"
  • sag voices
  • sag prompting (model-specific tips)

Model notes

  • Default: eleven_v3 (expressive)
  • Stable: eleven_multilingual_v2
  • Fast: eleven_flash_v2_5

Pronunciation + delivery rules

  • First fix: respell (e.g. "key-note"), add hyphens, adjust casing.
  • Numbers/units/URLs: --normalize auto (or off if it harms names).
  • Language bias: --lang en|de|fr|... to guide normalization.
  • v3: SSML <break> not supported; use [pause], [short pause], [long pause].
  • v2/v2.5: SSML <break time="1.5s" /> supported; <phoneme> not exposed in sag.

v3 audio tags (put at the entrance of a line)

  • [whispers], [shouts], [sings]
  • [laughs], [starts laughing], [sighs], [exhales]
  • [sarcastic], [curious], [excited], [crying], [mischievously]
  • Example: sag "[whispers] keep this quiet. [short pause] ok?"

Voice defaults

  • ELEVENLABS_VOICE_ID or SAG_VOICE_ID

Confirm voice + speaker before long output.

Chat voice responses

When Peter asks for a "voice" reply (e.g., "crazy scientist voice", "explain in voice"), generate audio and send it:

bash
# Generate audio file
sag -v Clawd -o /tmp/voice-reply.mp3 "Your message here"

# Then include in reply:
# MEDIA:/tmp/voice-reply.mp3

Voice character tips:

  • Crazy scientist: Use [excited] tags, dramatic pauses [short pause], vary intensity
  • Calm: Use [whispers] or slower pacing
  • Dramatic: Use [sings] or [shouts] sparingly

Default voice for Clawd: lj2rcrvANS3gaWWnczSX (or just -v Clawd)

© trpc-group, Apache-2.0. 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 openclaw/skills/sag of trpc-group/trpc-agent-go.

Open the folder on GitHubat commit 9bb1c42

Used in 16 other repositories

We found 18 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 16 other GitHub owners. This page covers the copy in trpc-group/trpc-agent-go, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Sag 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.

Sag compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sag this skilltrpc-group/trpc-agent-go1.8k16 repos~574Automated safety check: PassApache-2.0
Musictadaspetra/loop2963 repos~827Automated safety check: PassMIT
Sound Effectstadaspetra/loop2962 repos~1.1kAutomated safety check: PassMIT
Elevenlabs Transcribeqdhenry/Claude-Command-Suite1.3k—~1.5kAutomated safety check: NotesNone
Elevenlabssanjay3290/ai-skills4311 repos~1.1kAutomated safety check: PassApache-2.0
Dubbingelevenlabs/skills481—~3.3kAutomated safety check: PassMIT

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Works with

Questions about Sag

What does Sag do?

ElevenLabs text-to-speech with mac-style say UX. An agent skill from trpc-group/trpc-agent-go. Sag is an agent skill from trpc-group/trpc-agent-go. ElevenLabs text-to-speech with mac-style say UX.

When should I use Sag?

Sag fits situations like: tasks that involve Text to speech and voice.

How do I install Sag in Claude Code?

Run `npx skills add trpc-group/trpc-agent-go --skill sag -a claude-code`. Or copy the skill folder (openclaw/skills/sag in trpc-group/trpc-agent-go) into .claude/skills/sag in your project. Claude Code loads it when a task matches its description.

How do I install Sag in Codex?

Run `npx skills add trpc-group/trpc-agent-go --skill sag -a codex`. Or copy the skill folder (openclaw/skills/sag in trpc-group/trpc-agent-go) into .agents/skills/sag in your project. Codex loads it when a task matches its description.

Can I use Sag 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 trpc-group/trpc-agent-go --skill sag -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sag, .gemini/skills/sag, .github/skills/sag and .opencode/skills/sag in your project.

What does Sag need to run?

Going by SKILL.md and its folder, Sag needs credentials named ELEVENLABS_API_KEY and SAG_API_KEY. Our summary lists: A credential in ELEVENLABS_API_KEY; A credential in SAG_API_KEY.

Does Sag access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sag 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 Sag use?

Sag is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sag use?

About 574 tokens (SKILL.md is roughly 2.3k 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 Sag?

Skills that share tags, products or a category with Sag: Music (tadaspetra/loop, 296 stars), Sound Effects (tadaspetra/loop, 296 stars), Elevenlabs Transcribe (qdhenry/Claude-Command-Suite, 1.3k stars) and Elevenlabs (sanjay3290/ai-skills, 431 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sag?

trpc-group (a GitHub organization) maintains it in trpc-group/trpc-agent-go, which has 1,848 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on October 8, 2026.

Source: trpc-group/trpc-agent-go on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.