Use Spreadsheet Skills for AI-Powered Data Analysis

Spreadsheet skills help AI agents handle repetitive spreadsheet tasks, from data cleaning and formula generation to analysis and reporting. With Kimi, you can access built-in skills and use AI-powered workflows to create, analyze, and manage spreadsheets more efficiently.

8 min read2026-08-12
Use spreadsheet skills in Kimi

Managing spreadsheets manually is time-consuming and prone to errors. Instead, you can equip AI agents with spreadsheet skills to automate tasks like sorting records, tracking expenses, creating reports, and analyzing data. These skills help AI agents organize information, perform calculations, and streamline repetitive spreadsheet workflows. In this guide, you'll discover the essential spreadsheet skills that expand your AI agent's capabilities.

What are spreadsheet skills?

Spreadsheet skills are specialized AI agent skills that enable AI to understand, process, and automate spreadsheet tasks. They can organize data, clean datasets, perform calculations, generate formulas, create reports, and analyze spreadsheet information based on natural language instructions. Instead of manually handling spreadsheet operations, users can equip AI agents with these skills to perform data-related tasks more consistently, follow specific instructions, and adapt to different spreadsheet requirements.

Explore Kimi's spreadsheet skills

Kimi software is designed to provide AI-powered spreadsheet features. It helps users complete data tasks with less manual work. Instead of writing complex formulas or analyzing large datasets, Kimi understands natural language and automates many spreadsheet tasks. Below are details of two useful advanced spreadsheet skills that can improve your overall work productivity.

Skill nameDescription
xlsxAdvanced utility for manipulating, analyzing, and creating spreadsheet files in XLSX, XLSM, and CSV formats, with formula deployment, complex formatting, automatic currency formatting for financial tasks, data visualization, and post-processing recalculation.
dataset-quality-auditRuns comprehensive quality checks on tabular data files such as CSV, Excel, TSV, and JSON, detecting missing values, duplicates, outliers, format issues, and type inconsistencies, then produces an overall score, grade, and actionable suggestions.

How to use spreadsheet skills in Kimi

With Kimi, you can complete spreadsheet tasks without spending hours analyzing data. You can upload an Excel file, and Kimi will organize data and generate summaries. Here is a step-by-step guide to start using Kimi's spreadsheet skills effectively.

Step 1: Input a skill command

Type a skill command, such as /dataset-quality-audit, in the chat box section to search and find the data audit skill you want to look at.

Input skill command in the chatbox

Step 2: Start your research task

Next, explain what you expect in a more detailed way. Make sure the input prompt is clear, accurate, and precise. Then, click the send icon to let Kimi analyze your input.

Example prompt:

/dataset-quality-audit Analyze the uploaded dataset and perform a complete quality audit. Identify missing values, duplicate records, inconsistent formats, and potential data errors. Review column structures, detect unusual patterns, and provide recommendations for improving data accuracy. Summarize the findings in a clear report with tables and actionable insights.
Start your research task

In a very few seconds, Kimi analyzes your request, gathers data, and organizes the information in a valid format. Then, it provides output professional business content based on your instructions.

Let Kimi generate output

Step 3: Review and download your document

Once the result is generated, review and make any changes if needed. Click the "Download" icon to export the file in your preferred format, such as Excel, PDF, or Word.

Review and download your document

Discover open-source spreadsheet skills worth trying

Open-source spreadsheet skills can simplify repetitive data tasks by helping you clean datasets, analyze files, generate reports, and automate workflows. They support tasks across Excel, CSV, and Google Sheets, making it easier to manage business data, reports, and project trackers with less manual effort. Below are open-source spreadsheet skills worth exploring.

Skill nameDescriptionURL
ai-config-table-skillSafely edit Excel/CSV/TSV/JSON config tables via AI agents. Never overwrites source until user confirms. Features: scan → formula gate → preview → copy → diff → user confirmation workflow. Supports Chinese paths and Windows compatibility.https://github.com/1aita0v/ai-config-table-skill
recite-agent-skillAI-powered receipt scanning & bookkeeping skill. Automates receipt renaming and CSV logging for expense tracking. Integrates with the Recite API for OCR and structured data extraction.https://github.com/rivradev/recite-agent-skill
csv-data-summarizer-claude-skillAutomatically analyzes CSV files by generating summary statistics, detecting missing data, and creating visualizations such as time-series plots, correlation heatmaps, distribution histograms, and categorical breakdowns. Adapts to e-commerce, healthcare, finance, operations, and survey data.https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill
excel-sheetExcel (.xlsx) manipulation via MCP server. Use for creating workbooks, formatting cells, writing formulas, building charts, pivot tables, data analysis, or any task involving Excel spreadsheets.https://github.com/bg-szy/TOP-SKILLS
tabclawInteractive and self-evolving AI agent for spreadsheet manipulation and table reasoning. Drop in a CSV or Excel file and describe what you want. Supports interactive planning, parallel multi-table reasoning, persistent memory, and reusable skill distillation.https://github.com/ustc-table-mining/TabClaw
ai-config-table-skillPortable AI skill for safely editing Excel-CSV-JSON config tables via mainstream AI agents. Never overwrites your source until you confirm. Includes inspect, formula gate, dry-run patch, diff, and cross-table reference validation workflows.https://github.com/1aita0v/ai-config-table-skill
open-ptc-agentOpen source implementation of code execution with MCP. Includes xlsx skill for spreadsheet creation with formulas, formatting, and data analysis. Also includes PDF, DOCX, and PPTX skills.https://github.com/Chen-zexi/open-ptc-agent

How to access open-source spreadsheet skills in Kimi?

You can easily add open-source spreadsheet skills to Kimi just by asking for what you need. Kimi automatically finds and installs the right tools from GitHub, saving you from dealing with manual downloads or tricky setup steps. Once it is ready, you can start using the new skill right away to handle your data.

Step 1: Enter a prompt

In browsers open Kimi and add the command to install the open-source skill by including the GitHub URL.

Example prompt:

Install the recite-agent-skill from the GitHub repository below and add it to my Kimi workspace: https://github.com/rivradev/recite-agent-skill
Add your command

Step 2: Let AI install the skill automatically

Kimi automatically searches for recite-agent-skill, configures the skill, and prepares it for use easily. When the installation is complete, the skill you demand from Kimi becomes available in your workspace.

Let Kimi install skill

Step 3: Use the skill

Select "Add to my skills" to save it, then choose "Try it" to activate the skill. Once enabled, describe your spreadsheet task, and Kimi will use the skill to assist with data processing, analysis, reporting, or other spreadsheet workflows.

Use the skill

Level up spreadsheet tasks by defining skills in Kimi

Kimi allows you to turn your spreadsheet resources into reusable AI spreadsheet skills that can automate repetitive data workflows. By uploading your templates, guides, or spreadsheet documents, you can create customized skills for analysis, reporting, and data management tasks.

Step 1: Access the document in the skills tool

Open "Kimi Skills" > "Customize" > "Document to skills." This feature allows you to convert your spreadsheet resources into reusable AI skills.

Open Kimi and access the document in the skills tool

Step 2: Upload the files

Upload Excel files, CSV templates, data analysis guides, reporting formats, or workflow documents that contain the knowledge you want Kimi to learn from. Kimi will analyze the uploaded resources and generate a structured skill based on your requirements.

Upload your file

Step 3: Create and use your skills

Review the generated skill, refine the instructions if needed, and save it to your workspace. You can start using the skill immediately for spreadsheet tasks such as data analysis, reporting, and automation.

Create and use your skill

You can edit the skill anytime to update its instructions or export it as an .md file for reuse in other projects and workflows.

Edit or download the skill

Tips for using spreadsheet skills more efficiently

You need to understand a few things to use your created skill easily. The following tips can help you build reliable spreadsheet skills for everyday work.

  • Define clear instructions for better spreadsheet skills output

It is best to write clear instructions that explain exactly what a skill should do for your project. You can specify the required data format, calculation rules, processing steps, and expected output. If the task includes formulas, mention them in the instructions.

  • Combine spreadsheet skills with repeatable workflows

If you perform the same spreadsheet task regularly, make sure to change it into a reusable workflow. This works well for monthly reports and expense tracking. You can also use it in sales summaries, inventory updates, and data cleaning. Furthermore, using the same workflow each time keeps reports consistent.

  • Customize skills for specific spreadsheet tasks

Never create one general-purpose spreadsheet skill for every important task. You can build separate skills for different jobs. The most common are formula generation, data validation, and chart creation. Overall, task-specific skills usually provide more reliable outputs.

  • Provide context and examples when defining skills

You need to provide AI with enough information to understand your expectations. It is best to upload sample spreadsheets, explain the column structure, and include formulas if needed. The more context you provide, the easier it is for the AI to produce results that match your workflow.

  • Review and optimize skills based on results

Instead of saving, make sure to test your spreadsheet skills regularly and improve them over time. If a skill misses calculations, update the instructions or add new examples. Continuous optimization helps AI agents follow the skill more effectively and deliver more reliable spreadsheet results.

Conclusion

To sum up, spreadsheet skills provide structured instructions, processing rules, and output requirements; they help AI agents work with spreadsheets more consistently, from organizing data and analyzing information to generating reports. With AI-powered tools like Kimi, users can create or apply spreadsheet skills to make data tasks more reliable and efficient.

FAQ

Can AI spreadsheet skills clean messy data?
Yes. With the guidance of AI spreadsheet skills, AI agents can help clean messy data by identifying missing values, duplicate records, inconsistent formats, and other data issues. These skills provide task-specific instructions and processing rules, helping AI agents handle spreadsheet cleaning tasks more consistently and align results with user requirements.
How do I use AI spreadsheet skills in Excel?
In Kimi, you can upload your Excel or CSV files, select the appropriate skill, and describe your task with natural language instructions. The skill provides AI with task-specific guidance, helping it analyze data, generate formulas, organize spreadsheets, create reports, and handle complex spreadsheet operations more consistently.
Can spreadsheet skills work with different file formats?
Yes. Spreadsheet skills can guide AI agents to work with common spreadsheet formats such as XLSX, CSV, and other structured data files. By providing format-specific instructions and processing requirements, these skills help AI agents analyze, transform, and organize spreadsheet data more consistently across different file types.
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