# Workledge

> Workledge — ai-workledge-workledge. Use this tool when you need to access and share information across multiple AI interactions, as Workledge provides a unified notebook to save and recall context from any connected AI, streamlining conversations and workflows. It solves problems of knowledge fragmentation and repetition, allowing for seamless continuity between AI sessions. By inputting notes and recalling them as needed, users can efficiently manage information and context.

Canonical page: https://skillsregistry.net/skills/ai-workledge-workledge  
JSON: https://api.skillsregistry.net/v1/skills/ai-workledge-workledge

## Description

A growing notebook shared by every AI you use. Save in conversation, recall from any connected AI.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.workledge%2Fworkledge)

## Use it

MCP endpoint published by the skill: `https://mcp.workledge.ai/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": "ai-workledge-workledge"
    }
  }
}
```

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