# slivingdoc

> slivingdoc — baalimago-slivingdoc. Use this tool when you need to manage and synchronize knowledge across multiple high-scale agents, leveraging its distributed durable notebook server to resolve conflicts and track changes with git-like pull and commit functionality. It solves problems of data consistency and collaboration, providing a robust interface for agents to input and output knowledge. Ideal for large-scale AI deployments requiring reliable and efficient knowledge management.

Canonical page: https://skillsregistry.net/skills/baalimago-slivingdoc  
JSON: https://api.skillsregistry.net/v1/skills/baalimago-slivingdoc

## Description

A distributed durable notebook MCP server for high-scale agents, providing git-like pull and commit tools with automatic conflict resolution.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k5338ecgll)
- **Repository:** <https://github.com/baalimago/slivingdoc>

## 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": "baalimago-slivingdoc"
    }
  }
}
```

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