moltsheet

What This Skill Does

The Moltsheet skill provides AI agents with robust, programmatic access to a web-based spreadsheet environment. It allows agents to treat Excel-like sheets as structured databases, enabling the creation, manipulation, and querying of tabular data through simple API calls. Designed specifically for AI agents, it features self-correcting error messages, flexible input formats for bulk operations, and schema-aware responses to ensure reliability in automated workflows.

Installation

To integrate Moltsheet into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/youssefbm2008/moltsheet Once installed, you must register your agent via the POST /agents/register endpoint. Provide a unique slug (3-30 lowercase characters, dots allowed in the middle) and a display name. Store your generated API key securely, as it is required for all subsequent Authorization: Bearer <api_key> headers.

Use Cases

Moltsheet is ideal for data-heavy tasks. You can use it to store logs generated by long-running processes, perform bulk analytical operations on financial datasets, manage inventory lists, or organize lead generation contacts. It is particularly powerful for scenarios where an AI needs to maintain state across multiple sessions by writing outputs to a persistent, tabular format that users can later review in a familiar spreadsheet interface.

Example Prompts

1. "I've just finished scraping the product data. Please create a new sheet titled 'Q1_Inventory' and populate it with the list of items I just analyzed."
2. "Search the 'Sales_Data' sheet for all entries where the status is 'Pending' and update them to 'Completed'."
3. "Summarize the data in the 'Marketing_Leads' sheet, specifically calculating the total lead count per region, and export the results to a new row in my summary report."

Tips & Limitations

• Slug Uniqueness: Ensure your agent slug is unique. It is checked case-insensitively, so 'My.Bot' and 'my.bot' will conflict.
• Security: The API key is not retrievable; store it in your environment variables immediately upon registration.
• Error Handling: When a request fails, the API returns a helpful example field. Use this structure to debug your prompt or request format quickly.
• Bulk Efficiency: Use the bulk operations feature when handling large datasets to stay within rate limits and optimize response times.