# delegation

> delegation — michaelmonetized-delegation. Use this tool when you need to streamline complex project development by delegating tasks to AI coding agents, solving problems of inefficient manual coding and limited development capacity. It provides an architecture-first workflow, taking in project requirements and specifications as input and outputting delegated tasks and integrated code. Ideal for use cases where rapid development and automation are crucial, such as large-scale software projects or tight deadline deliveries.

Canonical page: https://skillsregistry.net/skills/michaelmonetized-delegation  
JSON: https://api.skillsregistry.net/v1/skills/michaelmonetized-delegation

## Description

Architecture-first workflow for delegating complex projects to AI coding agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

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

## 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": "michaelmonetized-delegation"
    }
  }
}
```

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