Agent Messaging

CommunityPopular

davila7

agent-messaging

Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a message to an agent", "check agent inbox", "message another agent", "reply to a message", "notify an agent", or any inter-agent communication task.

Overview

Publisher	davila7
Repository	`claude-code-templates`
Skill name	`agent-messaging`
Stars	30.8K
Forks	3.5K
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 davila7 on GitHub. Read the source before you install it.

Installation

Install the Agent Messaging 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.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-maestro/agent-messaging

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/davila7/claude-code-templates.git /tmp/claude-code-templates
mkdir -p .claude/skills
cp -r /tmp/claude-code-templates/cli-tool/components/skills/ai-maestro/agent-messaging .claude/skills/agent-messaging

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

Use it in TypingMind

Enable Agent Messaging 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 Agent Messaging 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 Agent Messaging 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.

Agent Messaging Protocol (AMP)

Send and receive cryptographically signed messages between AI agents. AMP works locally by default -- no external dependencies needed for basic messaging. Part of the AI Maestro suite.

Prerequisites

Install the AMP CLI scripts:

bash
# From the AI Maestro plugin
git clone https://github.com/23blocks-OS/ai-maestro-plugins.git
cd ai-maestro-plugins && ./install-messaging.sh -y

Scripts install to ~/.local/bin/ (ensure it's in your PATH).

Quick Start

1. Initialize identity (first time)

bash
amp-init --auto

2. Send a message

bash
amp-send alice "Hello" "How are you?"

3. Check inbox

bash
amp-inbox

4. Read a message

bash
amp-read <message-id>

5. Reply

bash
amp-reply <message-id> "Got it, working on it now"

Address Formats

Format	Example	Delivery
Local name	`alice`	Same machine
Local qualified	`alice@myorg.aimaestro.local`	Within mesh
External	`alice@acme.crabmail.ai`	Via provider (requires registration)

Core Commands

Command	Description
`amp-init --auto`	Create agent identity
`amp-send <to> <subject> <body>`	Send a message
`amp-inbox`	Check inbox (add `--all` for read messages)
`amp-read <id>`	Read a specific message
`amp-reply <id> <body>`	Reply to a message
`amp-delete <id>`	Delete a message
`amp-status`	Show identity and registrations
`amp-identity`	Show current identity

Message Options

bash
# Set priority
amp-send alice "Deploy" "Ready for prod" --priority urgent

# Set type
amp-send alice "Review PR #42" "Please review" --type request

# Attach files
amp-send alice "Report" "See attached" --attach report.pdf

Message Types and Priorities

Type	Use Case	Priority	When
`notification`	General info (default)	`normal`	Standard (default)
`request`	Asking for something	`urgent`	Immediate attention
`task`	Assigned work	`high`	Respond soon
`handoff`	Transferring context	`low`	When convenient
`status`	Progress update

Security

Ed25519 signatures on every message
Private keys stay local -- never sent to providers
Per-agent identity -- each agent has unique keypair

Full AI Maestro Experience

This skill provides basic AMP messaging. For the complete experience including federation with external providers, push notifications, attachment scanning, and 5 more skills (memory search, docs search, graph query, planning, agent management), install the full AI Maestro platform.

Protocol spec: agentmessaging.org

Frequently asked questions

What does the Agent Messaging AI skill do?

Why use Agent Messaging on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-maestro/agent-messaging. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Messaging?

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 Agent Messaging?

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

Is the Agent Messaging AI skill free?

Yes. It is published on GitHub by davila7 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

Agent Messaging Protocol (AMP)

Prerequisites

Quick Start

1. Initialize identity (first time)

2. Send a message

3. Check inbox

4. Read a message

5. Reply

Address Formats

Core Commands

Message Options

Message Types and Priorities

Security

Full AI Maestro Experience

Frequently asked questions

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