# feishu-meeting-assistant

> feishu-meeting-assistant — autogame-17-feishu-meeting-assistant. Use this tool when you need to automate the process of reviewing and extracting information from documents attached to upcoming meetings in your Feishu Calendar. It scans events, reads document content, and provides the extracted information as output, solving problems related to meeting preparation and document management. Ideal for use cases where manual document review is time-consuming or inefficient, such as before meetings or when organizing large events.

Canonical page: https://skillsregistry.net/skills/autogame-17-feishu-meeting-assistant  
JSON: https://api.skillsregistry.net/v1/skills/autogame-17-feishu-meeting-assistant

## Description

Scans your Feishu Calendar for upcoming events with attached documents (Doc, Sheet, Bitable), reads their content.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** productivity
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/autogame-17-feishu-meeting-assistant)

## 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": "autogame-17-feishu-meeting-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/autogame-17-feishu-meeting-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/autogame-17-feishu-meeting-assistant/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
