Agent skill

Hume AI

by Anil-matcha in Anil-matcha/awesome-muse-connectors

Hume AI Octave TTS and EVI speech-to-speech configs: synthesize speech and manage EVI configs.

Install Hume AI

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill hume-ai -a claude-code

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

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors hume-ai --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/hume-ai .claude/skills/hume-ai && 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/

Paste into Claude Code

Install the "hume-ai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/hume-ai into .claude/skills/hume-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hume-ai", 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

$skill-installer install https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/hume-ai

Type 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.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill hume-ai -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors hume-ai --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/hume-ai .agents/skills/hume-ai && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "hume-ai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/hume-ai into .agents/skills/hume-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hume-ai", 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.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill hume-ai -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors hume-ai --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/hume-ai .cursor/skills/hume-ai && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "hume-ai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/hume-ai into .cursor/skills/hume-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hume-ai", 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

$ gemini skills install https://github.com/Anil-matcha/awesome-muse-connectors.git --path connectors/hume-ai

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill hume-ai -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors hume-ai --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/hume-ai .gemini/skills/hume-ai && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "hume-ai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/hume-ai into .gemini/skills/hume-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hume-ai", 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.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors hume-ai

Installs 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).

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill hume-ai -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/hume-ai .github/skills/hume-ai && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "hume-ai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/hume-ai into .github/skills/hume-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hume-ai", 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.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill hume-ai -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors hume-ai --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/hume-ai .opencode/skills/hume-ai && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "hume-ai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/hume-ai into .opencode/skills/hume-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hume-ai", 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.

Facts

Skill name: hume-ai
GitHub stars: 1.3k
Token cost: ~746 tokens
SKILL.md length: 310 words
Files: 2
Skills in repo: 153
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Hume AI Octave TTS and EVI speech-to-speech configs: synthesize speech and manage EVI configs.

Works in 4 steps: All usage is metered. Every tts call… → EVI config changes and cloned voices are… → Live EVI sessions run over WebSocket,… → …
Tasks that involve Text to speech and voice
SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
Runs Python scripts from its folder

What it does

Hume AI is an agent skill from Anil-matcha/awesome-muse-connectors. Hume AI Octave TTS and EVI speech-to-speech configs: synthesize speech and manage EVI configs. Trigger phrases: hume, hume ai, octave tts, EVI config.

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/hume-ai.py`).

It sits in Media & Creative, covering Text to speech and voice. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

Tasks that involve Text to speech and voice

Example prompts

“/hume-ai”

Requirements

Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

All usage is metered. Every tts call spends Hume credits; synthesize only what the user asked for.
EVI config changes and cloned voices are confirmation-gated: confirm with the user before creating, updating, or deleting an EVI config…
Live EVI sessions run over WebSocket, which this CLI does not open. Learn EVI 3/4-mini config fields by reading configs only.
Never accept or log the raw key; the CLI only ever handles the surrogate.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. 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
Ships script files (Python), which the agent can run.
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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hume AI loads about 746 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 310 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~40
When it runs · the whole SKILL.md, loaded when a task matches: ~746

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 Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 310 words, ~746 tokens.

Download SKILL.mdSave it as .claude/skills/hume-ai/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: hume-ai
description: Hume AI Octave TTS and EVI speech-to-speech configs: synthesize speech and manage EVI configs. Trigger phrases: hume, hume ai, octave tts, EVI config.
metadata.includeInPrompt: true
tagline: Synthesize speech with Hume's Octave TTS models and read EVI (Empathic Voice Interface) conversational configs. Reach for this when the user wants expressive…
catalog_auth: API key via the secure credential flow
catalog_hosts: api.hume.ai

Hume AI

Purpose

Synthesize speech with Hume's Octave TTS models and read EVI (Empathic Voice Interface) conversational configs. Reach for this when the user wants expressive TTS audio from text or wants to inspect an EVI voice-agent configuration.

Tooling

All commands go through bin/hume-ai.py. REST auth uses the X-HUME-API-KEY header (not Bearer); the CLI wires it through the credential surrogate.

bash

bin/hume-ai.py auth
# {"ok": true, "configs": 3} on success

bin/hume-ai.py configs
# list EVI configs (id, name)

bin/hume-ai.py config-get --id <CONFIG_ID>
# one EVI config

bin/hume-ai.py tts --text "Take a breath." --voice "Ava Song" --out calm.mp3
# synthesize with Octave TTS; prints the saved audio path

Notes:

tts sends POST /v0/tts with the text as an utterance and an optional Octave voice name. Audio (or the raw provider response when audio cannot be extracted) is written to --out (default hume-output.mp3); the CLI prints the resulting path.
Live EVI sessions are real-time WebSockets and are outside CLI scope. EVI config changes and cloned voices are confirmation-gated (see Operating Rules); this draft CLI covers config list/get only.

Auth

Provider id: hume-ai (credential is collected as custom.hume-ai)
Collection: Hume API key via the secure credential flow (credentials.request_api_access); create one in the Hume portal
Allowed hosts: api.hume.ai
Connect placement: custom_header:X-HUME-API-KEY (the key goes in X-HUME-API-KEY, exactly; not a Bearer header)
Status check: bin/hume-ai.py auth

Operating Rules

All usage is metered. Every tts call spends Hume credits; synthesize only what the user asked for.
EVI config changes and cloned voices are confirmation-gated: confirm with the user before creating, updating, or deleting an EVI config, or before cloning a voice. EVI 1 and EVI 2 are retired (support ended 2025-08-30); target EVI 3 or EVI 4-mini only.
Live EVI sessions run over WebSocket, which this CLI does not open. Learn EVI 3/4-mini config fields by reading configs only.
Never accept or log the raw key; the CLI only ever handles the surrogate.

Files

SKILL.md
bin/hume-ai.py

Maturity

🧪 Draft: written from Hume's public API docs with the Octave TTS path cross-checked at build time; not yet live-tested end-to-end. EVI config create/update and voices listing are not yet in the CLI.

Files

SKILL.md and 1 other file in connectors/hume-ai of Anil-matcha/awesome-muse-connectors.

SKILL.md
bin/hume-ai.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Hume AI 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.

Hume AI compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Hume AI this skillAnil-matcha/awesome-muse-connectors	1.3k	—	~746	Automated safety check: Pass	MIT	5 days ago
MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo	130k	—	~2.1k	Automated safety check: Warn	MIT	yesterday
HyperFrames Media Useheygen-com/hyperframes	60k	—	~2.4k	Automated safety check: Pass	Apache-2.0	today
Openspec OnboardSAP/e-mobility-charging-stations-simulator	227	25 repos	~3.5k	Automated safety check: Pass	MIT	today
Blog AudioAgriciDaniel/claude-blog	2.3k	1 repos	~2.2k	Automated safety check: Notes	MIT	2 days ago
Musictadaspetra/loop	296	2 repos	~827	Automated safety check: Pass	MIT	8 days ago

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Questions about Hume AI

What does Hume AI do?

Hume AI Octave TTS and EVI speech-to-speech configs: synthesize speech and manage EVI configs. Hume AI is an agent skill from Anil-matcha/awesome-muse-connectors. Hume AI Octave TTS and EVI speech-to-speech configs: synthesize speech and manage EVI configs.

When should I use Hume AI?

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

How do I install Hume AI in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill hume-ai -a claude-code`. Or copy the skill folder (connectors/hume-ai in Anil-matcha/awesome-muse-connectors) into .claude/skills/hume-ai in your project. Claude Code loads it when a task matches its description.

How do I install Hume AI in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill hume-ai -a codex`. Or copy the skill folder (connectors/hume-ai in Anil-matcha/awesome-muse-connectors) into .agents/skills/hume-ai in your project. Codex loads it when a task matches its description.

Can I use Hume AI 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 Anil-matcha/awesome-muse-connectors --skill hume-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hume-ai, .gemini/skills/hume-ai, .github/skills/hume-ai and .opencode/skills/hume-ai in your project.

What does Hume AI need to run?

Going by SKILL.md and its folder, Hume AI needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Hume AI 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 Hume AI 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 Hume AI use?

Hume AI 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 Hume AI use?

About 746 tokens (SKILL.md is roughly 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 Hume AI?

Skills that share tags, products or a category with Hume AI: MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 130k stars), HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Openspec Onboard (SAP/e-mobility-charging-stations-simulator, 227 stars) and Blog Audio (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hume AI?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,347 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Hume AI

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Hume AI

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Files

Compare with similar skills

Similar skills

More from Anil-matcha/awesome-muse-connectors

Related

Questions about Hume AI