Create Assistant logo

Create Assistant

Organization
VapiAI
create-assistant

Design, create, or validate saved and transient Vapi voice assistants. Use for new phone or web agents, production system prompts and first messages, saved-versus-transient architecture, model/voice/transcriber selection, multilingual compatibility, existing tool attachment, native call-control tools, assistant hooks, and Create Assistant API validation errors.

Overview

PublisherVapiAI
Repositoryskills
Skill namecreate-assistant
Stars
68
Forks
8
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by VapiAI on GitHub. Read the source before you install it.

Installation

Install the Create Assistant AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/VapiAI/skills/tree/main/create-assistant
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/VapiAI/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/create-assistant .claude/skills/create-assistant
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Assistant in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Create Assistant on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Create Assistant is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Vapi Assistant Creation

Design the assistant's behavior before assembling its configuration. Treat persistence and execution as separate decisions: a returned configuration can still describe a saved assistant, and creating a saved assistant does not deploy it, attach a phone number, or prove it is production-ready.

Source and Safety Rules

  • Use the configured Vapi documentation MCP when available for current product guidance. Otherwise use the bundled references and their public Vapi links. Validate the final payload against the current Create Assistant API schema.
  • Never print, request in chat, or embed API keys, provider secrets, credential values, private URLs, or real customer data.
  • Never invent IDs, destinations, integrations, server URLs, model names, voices, transcribers, schemas, or business policy.
  • Keep a saved assistant's name at 40 characters or fewer.
  • Do not enable paid, HIPAA, PCI, recording, retention, or other compliance behavior unless the user requests it and the current docs support the exact configuration.
  • Treat prompts as behavioral instructions, not capabilities or security boundaries. Scheduling, lookup, transfer, messaging, authentication, and other actions require real tools or server-side support.

Procedure

  1. Decide the assistant architecture and requested action.

    • Prefer a saved assistant for a reusable agent that should be shared, attached by ID, or managed over time. If the user simply asks to create or build an agent, use this shape unless the request indicates otherwise.
    • Use a transient assistant only when the user asks for an inline or call-scoped configuration, or when the use case specifically needs per-call configuration, short-lived testing, or an assistant-request response. Put it in the call's assistant field; do not send it to POST /assistant.
    • If the user asks for JSON, an example, a draft, or an implementation without account mutation, return the appropriate configuration without calling the API.
    • If the user asks to create or save the assistant in Vapi and VAPI_API_KEY is available, create a saved assistant with POST /assistant. Do not ask for redundant confirmation after an unambiguous create request.
    • If creation is requested but credentials are unavailable, return a save-ready configuration and command, and state clearly that the assistant has not been saved. Do not relabel it as transient.
  2. Run a focused requirements intake.

    • Infer what is clear from the request, then collect only missing facts that materially affect the design: business and audience, call direction, primary objective and success criteria, workflows, authoritative business knowledge, real tools or integrations, escalation boundaries, information to collect or avoid, languages, and brand voice.
    • Ask a compact group of clarifying questions when several business facts are required to produce a credible agent. Learn enough about the business before claiming the agent is ready.
    • Decide whether one assistant can own the workflow reliably. Use the create-squad skill when distinct specialists, routing, or handoffs are central to the design.
    • Do not ask the user to choose infrastructure providers unless they expressed a preference or the use case creates a real language, latency, compliance, or credential constraint.
  3. Design a production-quality system prompt.

    • Use the vapi-prompt-builder skill for every new assistant or substantial prompt rewrite when it is available. Otherwise read Prompt Design as the standalone fallback.
    • Write the complete prompt before provider and payload assembly. Cover identity and personality, response guidelines, guardrails, context, workflows or use cases, and compact examples.
    • Keep spoken turns concise, ask one question at a time, define uncertainty and recovery behavior, and make critical values spoken-friendly.
    • Align firstMessage and firstMessageMode with call direction and the prompt. Do not use a generic greeting when the business, disclosure, or outbound purpose requires something specific.
  4. Ground every capability in real configuration.

    • Map every promised action to an existing tool, knowledge source, runtime variable, or documented backend contract. List missing dependencies as Configuration needed; do not hide them in the prompt.
    • Reuse exact saved tool IDs in model.toolIds. Put documented inline tools in model.tools. Use the create-tool skill when a reusable tool or external-server implementation is required.
    • Attach the native endCall tool to every newly built assistant and define the allowed closing conditions in the prompt. Reuse a verified saved tool ID when available; otherwise use the current documented native-tool shape.
    • For outbound voicemail behavior, attach the native voicemail tool and align its message and the assistant prompt. Do not add voicemailDetectionPlan, voicemailDetection, or other assistant-level automatic voicemail-detection keys.
    • Read Assistant Hooks only for deterministic event-triggered behavior. Use server events for backend notifications and assistant tools for model-decided actions.
  5. Select compatible providers and settings.

    • Read Provider Policy before choosing components, honoring provider requests, pinning defaults, or supporting multiple languages.
    • Omit optional provider components only when the Create Assistant API documents their defaults. Pin components when the use case or reproducibility requires it.
    • Verify every explicit model, voice, transcriber, and language value against current API documentation. Ensure the voice can speak and the transcriber can recognize every promised language.
  6. Assemble and validate the configuration.

    • Include a use-case-specific name, the appropriate first-message behavior, and a model containing the complete system prompt.
    • Add voice, transcriber, tools, hooks, analysis, compliance, transport, and other fields only when they are intentional. Omitted optional fields may use Vapi defaults; do not add fields merely to make the payload look complete.
    • Check for placeholders, unsupported or stale values, leaked secrets, language mismatches, invented business facts, unavailable capabilities, and prompt/configuration contradictions.
    • Separate assumptions and unresolved dependencies from creation-ready JSON. Never put fake IDs, URLs, phone numbers, or credentials into a payload represented as ready to create.
  7. Create and verify when requested.

    • Send one POST /assistant for a saved assistant and require a 201 response. Verify the returned id, name, system prompt, attached tools, and any explicitly configured providers.
    • API-created assistants are saved immediately; there is no separate API publish step. Do not claim the assistant is deployed, routed to a phone number, tested, or production-ready unless those separate actions were completed.
    • On 400, correct one documented validation issue and retry at most once when the fix is unambiguous. Never repeat an unchanged request. On 401 or 403, stop and report authentication or permission failure. On 404, report the missing dependency. On 5xx, report the service failure.
    • Provide realistic success, edge, and failure test scenarios. Recommend a web call or representative Eval/test set, then iterate from actual results; one successful call is not sufficient evidence of production quality.

API Implementation Examples

Read Assistant API Examples when the user requests implementation code. Use the official TypeScript or Python Server SDK for a backend project in those languages; use cURL for a direct REST example or shell-based verification. After a successful create, return the saved assistant ID, summarize the verified configuration, identify anything still unconfigured, and provide test scenarios. A generated payload is not a saved assistant; a saved assistant is not automatically deployed.

Output Contract

Return only the sections relevant to the request:

  • Architecture: saved or transient, with the reason when it was not explicit
  • Assumptions or blocking questions
  • Final assistant configuration, including the complete system prompt
  • Configuration needed for capabilities that are not yet real
  • Creation result and assistant ID, when the API was called successfully
  • External test scenarios and recommended next iteration

Public Sources

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Create Assistant AI skill do?

Design, create, or validate saved and transient Vapi voice assistants. Use for new phone or web agents, production system prompts and first messages, saved-versus-transient architecture, model/voice/transcriber selection, multilingual compatibility, existing tool attachment, native call-control tools, assistant hooks, and Create Assistant API validation errors.

Why use Create Assistant on TypingMind?

Because you install it once and use it with any model. Create Assistant is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Create Assistant in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VapiAI/skills/tree/main/create-assistant. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Create Assistant?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Create Assistant?

As many as you like. As long as a model supports skills, you can use Create Assistant with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Create Assistant AI skill free?

Yes. It is published on GitHub by VapiAI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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