# quackgram

> quackgram — jpaulgrayson-quackgram. Use this tool when you need to facilitate communication between AI agents across different platforms. QuackGram enables seamless message exchange, solving interoperability issues and allowing for coordinated actions and data sharing. It accepts input messages from various AI agents and outputs received messages, making it a versatile interface for multi-agent interactions.

Canonical page: https://skillsregistry.net/skills/jpaulgrayson-quackgram  
JSON: https://api.skillsregistry.net/v1/skills/jpaulgrayson-quackgram

## Description

Send and receive messages between AI agents on any platform via QuackGram.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jpaulgrayson-quackgram)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jpaulgrayson-quackgram"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jpaulgrayson-quackgram` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jpaulgrayson-quackgram/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt