Twilio

Organization

hyperfx-ai

twilio

Twilio messaging, voice, phone number management, and verification workflows. Use when the user wants to send SMS or WhatsApp messages, make voice calls, buy or configure phone numbers, or run OTP verification.

Overview

Publisher	hyperfx-ai
Repository	`marketing-skills`
Skill name	`twilio`
Stars	107
Forks	21
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by hyperfx-ai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/hyperfx-ai/marketing-skills/tree/main/skills/twilio
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.

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/hyperfx-ai/marketing-skills.git /tmp/marketing-skills
mkdir -p .claude/skills
cp -r /tmp/marketing-skills/skills/twilio .claude/skills/twilio

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Twilio 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 Twilio 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 Twilio 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.

Twilio Communications

Use this skill for all Twilio tasks including SMS, WhatsApp, voice calls, and verification.

Requirements

Hyper MCP installed and connected. https://app.hyperfx.ai/mcp
Twilio integration enabled at https://app.hyperfx.ai/apps.

How to run the tools in this skill

Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:

Surface	Find a tool	Run it
Hyper chat	Call the tool by its name; `search_tools(queries=["<provider> <action>"])` shows its parameters	`<name>(...)`
MCP client (Claude, Cursor, Codex, ChatGPT)	`search("<what you want to do>")`, then `describe("<name>")`	`call_read("<name>", {...})`, `call_write` or `call_destructive`: the one that `describe` names in `call_with`
Hyper CLI	`hyperai search "<what you want to do>"`, then `hyperai describe <name>`	`hyperai call <name> --json '{...}'`

If a tool is not found: in Hyper chat, find its toolkit id with discover_toolkits and pass it to enable_toolkit. On an MCP client or the CLI, tell the user which integration to connect in Hyper.

WhatsApp Sandbox Setup (Required for Testing)

Before sending WhatsApp messages in sandbox/testing mode, users must join the sandbox:

User goes to: https://console.twilio.com/us1/develop/sms/try-it-out/whatsapp-learn
They find their unique join code (e.g., "join happy-turtle")
They send that message from WhatsApp to +14155238886
Once confirmed, use twilio_whatsapp_send with from_number set to "+14155238886"

If WhatsApp message fails with "not a valid WhatsApp-enabled number" or similar:

The user likely hasn't joined the sandbox yet
Guide them through the steps above

Tool Quick Reference

Messaging

twilio_sms_send - Send SMS/MMS messages
twilio_whatsapp_send - Send WhatsApp messages (sandbox: use +14155238886 as from_number)
twilio_messages_list - List message history
twilio_messages_delivery_status_check - Check if message was delivered

Voice Calls

twilio_calls_create - Initiate outbound call (requires TwiML URL or inline TwiML)
twilio_calls_list - List call history
twilio_recordings_list - List call recordings

Phone Numbers

twilio_phone_numbers_list - List numbers in account (use to find valid from_number)
twilio_phone_numbers_lookup - Validate phone number and get carrier info

Verification (OTP)

twilio_verification_services_create - Create verification service first
twilio_verifications_send - Send OTP code
twilio_verifications_check - Verify user's code

Common Patterns

Before sending SMS/WhatsApp: Call twilio_phone_numbers_list first to find a valid sender number.

WhatsApp sandbox flow:

Confirm user has joined sandbox (provide instructions if not)
Call twilio_whatsapp_send with:

json
{
  "to": "+1XXXXXXXXXX",
  "body": "Hello from the assistant",
  "from_number": "+14155238886"
}

Phone verification flow:

Step 1 -- Call twilio_verification_services_create with:

json
{
  "friendly_name": "My App"
}

Step 2 -- Call twilio_verifications_send with:

json
{
  "service_sid": "<service_sid_from_step_1>",
  "to": "+1XXXXXXXXXX",
  "channel": "sms"
}

Step 3 -- Call twilio_verifications_check with:

json
{
  "service_sid": "<service_sid>",
  "to": "+1XXXXXXXXXX",
  "code": "<user_provided_code>"
}

Safety Rules

Never assume a valid sender number; always verify with twilio_phone_numbers_list.
Do not continue silently after failures; report exact error and ask user how to proceed.
For verification flows, keep service SIDs and code checks explicit and auditable.

Frequently asked questions

What does the Twilio AI skill do?

Why use Twilio on TypingMind?

Because you install it once and use it with any model. Twilio 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 Twilio in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hyperfx-ai/marketing-skills/tree/main/skills/twilio. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Twilio?

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 Twilio?

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

Is the Twilio AI skill free?

Yes. It is published on GitHub by hyperfx-ai 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Twilio Communications

Requirements

How to run the tools in this skill

WhatsApp Sandbox Setup (Required for Testing)

Tool Quick Reference

Messaging

Voice Calls

Phone Numbers

Verification (OTP)

Common Patterns

Safety Rules

Frequently asked questions

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