# zuckerbot

> zuckerbot — datalishq-zuckerbot. Use this tool when you need to manage and automate Facebook ad campaigns from a command-line interface or AI agent, solving problems of manual ad management and streamlining campaign execution. It takes in CLI commands or API inputs and outputs campaign performance data and management capabilities. Use zuckerbot to optimize ad campaign workflows and integrate with git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/datalishq-zuckerbot  
JSON: https://api.skillsregistry.net/v1/skills/datalishq-zuckerbot

## Description

Public ZuckerBot MCP client, CLI, agent skills and release source

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** social-media
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/DatalisHQ/zuckerbot)

## 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": "datalishq-zuckerbot"
    }
  }
}
```

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