Manage Vapi voice AI: assistants, phone numbers, calls. An agent skill from Anil-matcha/awesome-muse-connectors.

MITAuto-check passedAI & LLM Engineering

Install Vapi

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill vapi -a claude-code

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

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors vapi --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/vapi .claude/skills/vapi && 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
vapi
GitHub stars
1.3k
Token cost
~833 tokens
SKILL.md length
323 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Manage Vapi voice AI: assistants, phone numbers, calls. An agent skill from Anil-matcha/awesome-muse-connectors.

  • Works in 5 steps: Outbound calls are HIGH actuations. A… → Default to test phone numbers. Vapi has… → Surface the choice before placing a… → …
  • Voice assistant
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Vapi is an agent skill from Anil-matcha/awesome-muse-connectors. Manage Vapi voice AI: assistants, phone numbers, calls. Outbound calls are high actuation and need exact-match confirmation; test numbers by default. Trigger phrases: vapi, voice assistant, outbound call, AI phone call.

Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/vapi.py`).

It sits in AI & LLM Engineering, covering Speech recognition and synthesis. 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

  • Voice assistant
  • Tasks that involve Speech recognition and synthesis

Example prompts

  • “/vapi”

Requirements

  • Python 3

Workflow steps

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

  1. Outbound calls are HIGH actuations. A call dials a real phone number and costs money. call-create requires --confirm with the exact string…
  2. Default to test phone numbers. Vapi has no separate sandbox API; every call through the API is real. Use a Vapi number designated for…
  3. Surface the choice before placing a call: the assistant, the from number, and the to number. Never lock the user into a preference you…
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/vapi.py). Do not print, log, or transmit the API key.
  5. Honesty flags (unverified while building this connector): the REST resource path forms (e.g. /assistant vs a versioned path) were not…

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

Vapi loads about 833 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 323 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~833

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). 323 words, ~833 tokens.

Download SKILL.mdSave it as .claude/skills/vapi/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
vapi
description
Manage Vapi voice AI: assistants, phone numbers, calls. Outbound calls are high actuation and need exact-match confirmation; test numbers by default. Trigger phrases: vapi, voice assistant, outbound call, AI phone call.
metadata.includeInPrompt
true
tagline
Manage voice AI assistants, phone numbers, and calls. Outbound calls need exact-match confirmation; test numbers by default.
catalog_auth
API key (per-user)
catalog_hosts
api.vapi.ai

Vapi

Purpose

Manage Vapi voice-AI assistants, phone numbers, and calls: list assistants, inspect one assistant, list phone numbers, place an outbound call, and list or retrieve calls. Reach for this when the user wants to test a voice assistant or run an outbound calling flow.

Tooling

All commands go through bin/vapi.py:

bash
bin/vapi.py auth                                              # verify the API key
bin/vapi.py assistants --limit 25                             # list assistants
bin/vapi.py assistant-get --assistant-id ASST_ID               # one assistant
bin/vapi.py phone-numbers --limit 25                          # list phone numbers
bin/vapi.py call-create --assistant-id ASST_ID \
    --phone-number-id NUM_ID --customer-number +14155551234 \
    --confirm "place outbound call from NUM_ID to +14155551234"  # outbound call (HIGH)
bin/vapi.py call-get --call-id CALL_ID                        # one call
bin/vapi.py call-list --limit 25                              # list calls

Auth

  • Provider id: vapi (credential is collected as custom.vapi)
  • Collection: API key (Vapi dashboard > API keys) via the secure credential flow (credentials.request_api_access)
  • Auth scheme: Authorization: Bearer <api key> on every request
  • Allowed hosts: api.vapi.ai
  • Status check: bin/vapi.py auth

Operating Rules

  1. Outbound calls are HIGH actuations. A call dials a real phone number and costs money. call-create requires --confirm with the exact string the CLI echoes (it names the originating phone-number id and the customer number) on every call. Missing or mismatched confirmation refuses the call.
  2. Default to test phone numbers. Vapi has no separate sandbox API; every call through the API is real. Use a Vapi number designated for testing while iterating, and switch to a production number only when the user explicitly names it. The confirmation string always shows the originating number, so a production number is never dialed by accident.
  3. Surface the choice before placing a call: the assistant, the from number, and the to number. Never lock the user into a preference you chose; if the number to dial is ambiguous, ask.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/vapi.py). Do not print, log, or transmit the API key.
  5. Honesty flags (unverified while building this connector): the REST resource path forms (e.g. /assistant vs a versioned path) were not confirmed against a live API; the CLI surfaces Vapi's own error if they differ. Vapi's test-number offering was not verified during this build; confirm the current mechanism in Vapi's docs before iterating at volume.

Files

  • SKILL.md
  • bin/vapi.py

Maturity

Draft: written from Vapi's public docs and SDK examples; not yet live-tested end-to-end.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

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

  • SKILL.md
  • bin/vapi.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Vapi 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.

Vapi compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vapi this skillAnil-matcha/awesome-muse-connectors1.3k—~833Automated safety check: PassMIT
TriageTalAter/annyang6.8k—~810Automated safety check: NotesMIT
Yichen Asrmcncarl/yichen-skills4.3k—~780Automated safety check: PassCustom licence
Dingtalk MinutesDingTalk-Real-AI/dingtalk-workspace-cli3.2k—~2.3kAutomated safety check: PassApache-2.0
Yichen Web Researchmcncarl/yichen-skills4.3k—~1.9kAutomated safety check: PassCustom licence
Volcengine Asrysyecust/lecture-to-notes269—~783Automated safety check: PassCustom licence

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Questions about Vapi

What does Vapi do?

Manage Vapi voice AI: assistants, phone numbers, calls. An agent skill from Anil-matcha/awesome-muse-connectors. Vapi is an agent skill from Anil-matcha/awesome-muse-connectors. Manage Vapi voice AI: assistants, phone numbers, calls.

When should I use Vapi?

Vapi fits situations like: voice assistant; tasks that involve Speech recognition and synthesis.

How do I install Vapi in Claude Code?

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

How do I install Vapi in Codex?

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

Can I use Vapi 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 vapi -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vapi, .gemini/skills/vapi, .github/skills/vapi and .opencode/skills/vapi in your project.

What does Vapi need to run?

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

Does Vapi 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 Vapi 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 Vapi use?

Vapi 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 Vapi use?

About 833 tokens (SKILL.md is roughly 3.3k 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 Vapi?

Skills that share tags, products or a category with Vapi: Triage (TalAter/annyang, 6.8k stars), Yichen Asr (mcncarl/yichen-skills, 4.3k stars), Dingtalk Minutes (DingTalk-Real-AI/dingtalk-workspace-cli, 3.2k stars) and Yichen Web Research (mcncarl/yichen-skills, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vapi?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,334 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.