# loom-go

> Use this tool when you need to break down complex problems into manageable parts and reason through them using structured frameworks. It helps solve issues by applying first principles and sequential thinking, accepting unclear or fragmented inputs and producing organized outputs. Ideal for use when faced with ambiguous or multifaceted challenges that require methodical analysis and critical thinking.

Canonical page: https://skillsregistry.net/skills/zankkas-loom-go  
JSON: https://api.skillsregistry.net/v1/skills/zankkas-loom-go

## Description

A thinking assistant MCP server that helps you reason through problems using structured frameworks like first principles and sequential thinking, starting wherever you are — clear, messy, or fragmentary.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ut8750sc5b)
- **Repository:** <https://github.com/zankkas/loom-go>

## 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": "zankkas-loom-go"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zankkas-loom-go` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zankkas-loom-go/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