# playbook

> playbook — benteigland11-playbook. Use this tool when you need to automate and manage complex procedures with precision, solving problems related to workflow optimization and standardization. It enables agents to create, edit, and execute JSON-based procedures through intent-driven search and step-by-step execution. Ideal for use cases requiring structured workflows, such as troubleshooting, data processing, or decision-making protocols.

Canonical page: https://skillsregistry.net/skills/benteigland11-playbook  
JSON: https://api.skillsregistry.net/v1/skills/benteigland11-playbook

## Description

Enables agents to search, create, edit, and step through JSON-based procedures with intent-driven search and step-by-step execution.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uwmrf1k9rh)
- **Repository:** <https://github.com/benteigland11/Playbook>

## 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": "benteigland11-playbook"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benteigland11-playbook` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benteigland11-playbook/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