# Coppermind

> Use this tool when you need to design printed circuit boards (PCBs) efficiently, as it enables AI assistants to create KiCAD designs through natural language input, streamlining the workflow with preview, verification, and commitment capabilities. It solves problems of manual design entry and knowledge gaps by providing an engineering knowledge base and transactional workflow with undo/redo functionality. Ideal for use cases requiring rapid PCB prototyping, design iteration, and knowledge-driven decision making.

Canonical page: https://skillsregistry.net/skills/charlesmmorais-coppermind  
JSON: https://api.skillsregistry.net/v1/skills/charlesmmorais-coppermind

## Description

Enables AI assistants to design PCBs in KiCAD through natural language, with transactional preview-verify-commit workflow, undo/redo, and an engineering knowledge base.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qpkqfsewzz)
- **Repository:** <https://github.com/charlesmmorais/coppermind>

## 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": "charlesmmorais-coppermind"
    }
  }
}
```

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