# Eigma

> Eigma — app-eigma-eigma. Use this tool when you need to reinforce learning and retain information over time. Eigma solves the problem of knowledge fade by filing learned information into a personal wiki and administering quizzes to ensure long-term retention. It takes in learned information as input and outputs personalized quizzes to reinforce memory.

Canonical page: https://skillsregistry.net/skills/app-eigma-eigma  
JSON: https://api.skillsregistry.net/v1/skills/app-eigma-eigma

## Description

Files what you learn into a personal wiki and quizzes you before you forget it.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.eigma%2Feigma)
- **Repository:** <https://github.com/eigma-app/eigma-mcp>

## Use it

MCP endpoint published by the skill: `https://my.eigma.app/api/mcp`

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": "app-eigma-eigma"
    }
  }
}
```

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