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gigasheet

Gigasheet integration. Manage Workbooks, Users, Teams, Shares. Use when the user wants to interact with Gigasheet data.

gora0500 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install gora050/gigasheet

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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:

npm install -g @membranehq/cli
First-time setup
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:
    membrane search gigasheet --elementType=connector --json
    
    Take the connector ID from output.items[0].element?.id, then:
    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:
    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:

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/gora050/gigasheet
Version
—
Commit
39f999fa5a71b852a6870928bc3eb6caf2b138d2
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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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