Overview
- Skill Key
- gora050/gigasheet
- Author
- gora050
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/gora050/gigasheet
- Latest Commit SHA
- 39f999fa5a71b852a6870928bc3eb6caf2b138d2
Gigasheet integration. Manage Workbooks, Users, Teams, Shares. Use when the user wants to interact with Gigasheet data.
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Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 gigasheet 技能。 若已安装,则直接安装 gigasheet 技能。
# Gigasheet Gigasheet is a big data spreadsheet that allows users to analyze billions of rows of data without code. It's used by data analysts, marketers, and researchers who need to work with large datasets that exceed the limits of traditional spreadsheets. Official docs: https://gigasheet.com/docs ## Gigasheet Overview - **Workbooks** - **Columns** - **Filters** - **Sheets** - **Views** - **Exports** - **Imports** - **API Keys** ## Working with Gigasheet This skill uses the Membrane CLI to interact with Gigasheet. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing. ### Install the CLI Install the Membrane CLI so you can run `membrane` from the terminal: ```bash npm install -g @membranehq/cli ``` ### First-time setup ```bash membrane login --tenant ``` A browser window opens for authentication. **Headless environments:** Run the command, copy the printed URL for the user to open in a browser, then complete with `membrane login complete <code>`. ### Connecting to Gigasheet 1. **Create a new connection:** ```bash membrane search gigasheet --elementType=connector --json ``` Take the connector ID from `output.items[0].element?.id`, then: ```bash membrane connect --connectorId=CONNECTOR_ID --json ``` The user completes authentication in the browser. The output contains the new connection id. ### Getting list of existing connections When you are not sure if connection already exists: 1. **Check existing connections:** ```bash membrane connection list --json ``` If a Gigasheet connection exists, note its `connectionId` ### Searching for actions When you know what you want to do but not the exact action ID: ```bash membrane action list --intent=QUERY --connectionId=CONNECTION_ID --json ``` This will return action objects with id and inputSchema in it, so you will know how to run it. ## Popular actions | Name | Key | Desc...
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