# io.github.tuckerschreiber/fullrun

> Use this tool when you need to automate and optimize Google Ads campaigns, diagnosing issues and improving performance. It solves problems such as inefficient ad spend, low conversion rates, and tedious campaign management, providing inputs like campaign data and outputs like optimized ad settings. Ideal for use in digital marketing workflows, this tool streamlines campaign management for AI agents.

Canonical page: https://skillsregistry.net/skills/io-github-tuckerschreiber-fullrun  
JSON: https://api.skillsregistry.net/v1/skills/io-github-tuckerschreiber-fullrun

## Description

Google Ads management for AI agents — diagnose, optimize, and manage campaigns.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.tuckerschreiber%2Ffullrun)
- **Repository:** <https://github.com/tuckerschreiber/fullrun-cli>

## 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": "io-github-tuckerschreiber-fullrun"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-tuckerschreiber-fullrun` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-tuckerschreiber-fullrun/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