career-ops-hq/career-ops
Open-source multi-agent job search pipeline that runs inside AI coding CLIs, scoring listings, tailoring CVs, and tracking every application.
Awesome AI Agents › Job Automation Tools
BraveGroup/SheetCopilot
SheetCopilot is an innovative software framework designed to enhance productivity in spreadsheet manipulation by leveraging Large Language Models (LLMs). It acts as an intelligent assistant that can understand and execute user commands to manipulate spreadsheets such as Google Sheets and Microsoft Excel. The project introduces a closed-loop control mechanism where the LLM observes the current state of the spreadsheet, generates solutions, and refines them based on feedback and external documents, thereby improving accuracy and efficiency in task completion. The repository provides the SheetCopilot agent along with an evaluation environment and a comprehensive dataset. The dataset includes 28 workbooks and 221 tasks, each with one or more hand-crafted solutions, covering a wide range of spreadsheet operations such as data entry, manipulation, formatting, chart creation, and pivot table management. This dataset serves as a benchmark for evaluating spreadsheet agents, including those based on reinforcement learning, LLMs, or rule-based methods. SheetCopilot supports 44 atomic operations ranging from basic actions like writing and copying data to advanced tasks like setting conditional formats and creating charts. The project also offers a Google Sheets plugin, enabling users to interact with the assistant directly within the Google Sheets environment. The system is implemented with asynchronous Python code and requires a Windows environment with Python 3.10. The project is well-documented with setup instructions, usage guides, and links to academic papers and posters. It emphasizes enabling non-expert users to perform complex spreadsheet tasks through natural language commands, thus bridging the gap between human intent and software operation. The repository is actively maintained and includes features like Chain-of-Thought reasoning and external document retrieval to enhance the agent's capabilities. Overall, SheetCopilot represents a significant advancement in human-computer interaction by integrating LLMs into practical software manipulation tasks, making spreadsheet work more accessible and efficient for users of all skill levels.
https://github.com/BraveGroup/SheetCopilot
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