# think-mcp

> Use this tool when you need to enhance AI assistant problem-solving capabilities with structured thinking tools. It provides mental models, design patterns, and decision frameworks to tackle complex problems, and accepts input in the form of unstructured problems or challenges, outputting structured solutions and approaches. Ideal for use cases requiring multi-persona reasoning, debugging, and critical thinking.

Canonical page: https://skillsregistry.net/skills/letsgomaslow-think  
JSON: https://api.skillsregistry.net/v1/skills/letsgomaslow-think

## Description

Provides structured thinking tools including mental models, design patterns, debugging approaches, decision frameworks, and multi-persona reasoning to enhance AI assistant problem-solving capabilities.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ppmtid2z39)
- **Repository:** <https://github.com/letsgomaslow/think>

## 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": "letsgomaslow-think"
    }
  }
}
```

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