A powerful AI spreadsheet companion for natural language data inspection, anomaly detection, and automated business reporting.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sheet-agent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install sheet-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is sheet-agent?
Sheet Agent is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between complex spreadsheet data and natural language commands. It allows developers and business analysts to interact with CSV and Excel files without writing complex formulas or scripts. By simply describing what they need, users can extract deep insights, identify data integrity issues, and generate professional summaries instantly.
Beyond simple reading, this skill prioritizes data integrity and safety. It treats spreadsheet operations with a professional rigor, ensuring that every modification is preceded by a clear preview and backup. Whether you are managing inventory, tracking sales leads, or auditing financial records, Sheet Agent provides a reliable AI-driven interface for your tabular data.
sheet-agent Use Cases
- Auditing large datasets for missing values, duplicates, or logical inconsistencies like negative inventory.
- Querying specific business metrics such as identifying overdue leads or high-value orders using natural language.
- Generating automated daily, weekly, or monthly operations reports with trend analysis and distribution stats.
- Performing safe data updates to specific records with a mandatory human-in-the-loop confirmation process.
- Rapidly summarizing the overall health of a spreadsheet, including totals, averages, and top-performing categories.
How sheet-agent Works
- The user provides a file path and a natural language instruction via the /sheet command.
- Sheet Agent parses the CSV or .xlsx file, automatically identifying headers, data types, and the business context.
- The AI processes the natural language request against the structured data to perform calculations, filters, or audits.
- If the request is a query or report, the agent generates a formatted Markdown response with tables and summaries.
- If a data change is requested, the agent generates a visual diff or preview and waits for a confirm or cancel response from the user.
sheet-agent Setup
To get started with this skill within Openclaw Skills, ensure your environment has access to the local file system. Install the skill using the following steps:
# Navigate to your agent directory
# Add the sheet-agent skill to your configuration
openclaw install sheet-agent
Ensure you have the necessary dependencies for spreadsheet processing installed in your environment (such as pandas or openpyxl if running in a Python-based host).
sheet-agent Data Schema & Taxonomy
Sheet Agent organizes data and its internal operations based on a structured taxonomy to ensure reliability:
| Component | Description |
|---|---|
| Supported Formats | CSV (.csv) and Excel (.xlsx) |
| Auto-Detection | Infers column types (Date, Numeric, String, Boolean) and business domains |
| Safety Backups | Automatically stores original file copies in a backup/ directory before any write operation |
| Operational Limits | Optimized for files up to 100,000 rows to ensure responsive performance |
| Output Formatting | Uses Markdown tables for query results and structured blocks for anomaly logs |
sheet-agent Advanced Features
- Intelligent Anomaly Detection: Automatically flags inconsistent date formats, out-of-range values, and suspicious outliers.
- Safety-First Write Protocol: A robust Change Preview mechanism that prevents accidental data loss by requiring explicit user confirmation.
- Automated Business Intelligence: Capable of detecting time ranges to generate week-over-week or day-over-day operations summaries.
- Contextual Probing: Proactively asks the user for clarification if column headers are ambiguous or if business logic is unclear.
- Multi-format Support: Seamlessly handles both legacy CSV workflows and modern Excel workbooks within the Openclaw Skills framework.
SKILL.md
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