# coil

> coil — danwt-coil. Use this tool when you need to enhance AI coding agents with structured memory, enabling them to recall crucial information through typed schemas and structured queries. It solves problems of knowledge retention and retrieval, allowing agents to focus on relevant data. Ideal for use cases involving complex coding tasks, where agents can leverage utility scoring and git integration to optimize their performance.

Canonical page: https://skillsregistry.net/skills/danwt-coil  
JSON: https://api.skillsregistry.net/v1/skills/danwt-coil

## Description

Structured memory for AI coding agents. Typed schemas, structured queries, utility scoring — an MCP server that makes agents remember what actually matters.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/danwt/coil)

## 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": "danwt-coil"
    }
  }
}
```

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