# lingxi

> lingxi — yujiezhu1-lingxi. Use this tool when you need to centralize and share context across multiple AI agents, enabling seamless handoffs and access to knowledge cards, topics, and activity reports. Lingxi solves the problem of fragmented information and context switching between AI tools, providing a unified hub for local-first collaboration. It accepts inputs from various AI agents and outputs a shared knowledge base, making it ideal for use cases requiring multi-agent coordination and information sharing.

Canonical page: https://skillsregistry.net/skills/yujiezhu1-lingxi  
JSON: https://api.skillsregistry.net/v1/skills/yujiezhu1-lingxi

## Description

灵犀 Lingxi — local-first context hub shared by all your AI agents (Claude Code, Codex, pi, Cursor, WorkBuddy, 豆包工作): handoffs, topics, knowledge cards, session search, activity reports

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-31

## Source

- **Source listing:** [GitHub](https://github.com/yujiezhu1/lingxi)

## 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": "yujiezhu1-lingxi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yujiezhu1-lingxi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yujiezhu1-lingxi/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