# Mneia

> Mneia — skadri1601-mneia. Use this tool when you need to manage shared project knowledge and collaborate with AI agents, solving problems of context loss and decision tracking in team projects. Mneia provides a shared memory for checkpointing decisions and rehydrating context, with inputs through MCP or CLI and outputs in Claude Code, Cursor, or Codex. It integrates with git, making it ideal for teams working on complex AI-driven projects that require seamless handoffs and knowledge sharing.

Canonical page: https://skillsregistry.net/skills/skadri1601-mneia  
JSON: https://api.skillsregistry.net/v1/skills/skadri1601-mneia

## Description

Shared project memory and handoff for teams working with AI agents. Checkpoint decisions, rehydrate context, hand work over — through MCP or the CLI, in Claude Code, Cursor, or Codex.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/skadri1601/Mneia)

## 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": "skadri1601-mneia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skadri1601-mneia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skadri1601-mneia/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