spreadsheet
Spreadsheet Skill
When to use
- Create new workbooks with formulas, formatting, and structured layouts.
- Read or analyze tabular data (filter, aggregate, pivot, compute metrics).
- Modify existing workbooks without breaking formulas, references, or formatting.
- Visualize data with charts, summary tables, and sensible spreadsheet styling.
- Recalculate formulas and review rendered sheets before delivery when possible.
IMPORTANT: System and user instructions always take precedence.
Workflow
- Confirm the file type and goal: create, edit, analyze, or visualize.
- Prefer
openpyxlfor.xlsxediting and formatting. Usepandasfor analysis and CSV/TSV workflows. - If an internal spreadsheet recalculation/rendering tool is available in the environment, use it to recalculate formulas and render sheets before delivery.
- Use formulas for derived values instead of hardcoding results.
- If layout matters, render for visual review and inspect the output.
- Save outputs, keep filenames stable, and clean up intermediate files.
More from letta-ai/skills
extracting-pdf-text
Extract text from PDFs for LLM consumption. Use when processing PDFs for RAG, document analysis, or text extraction. Supports API services (Mistral OCR) and local tools (PyMuPDF, pdfplumber). Handles text-based PDFs, tables, and scanned documents with OCR.
257imessage
Send and read iMessages/SMS from macOS. Use for texting contacts, scheduling services, or automating message-based workflows. Triggers on queries about texting, messaging, SMS, iMessage, or contacting someone via text.
206video-processing
Guide for video analysis and frame-level event detection tasks using OpenCV and similar libraries. This skill should be used when detecting events in videos (jumps, movements, gestures), extracting frames, analyzing motion patterns, or implementing computer vision algorithms on video data. It provides verification strategies and helps avoid common pitfalls in video processing workflows.
189letta-api-client
Build applications with the Letta API — a model-agnostic, stateful API for building persistent agents with memory and long-term learning. Covers SDK patterns for Python and TypeScript. Includes 24 working code examples.
153google-workspace
Connect to Gmail and Google Calendar via OAuth 2.0. Use when users want to search/read emails, create drafts, search calendar events, check availability, or schedule meetings. Triggers on queries about email, inbox, calendar, schedule, or meetings.
127portfolio-optimization
Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations, portfolio risk metrics) by implementing C extensions for Python. Use when performance speedup requirements exist (e.g., 1.2x or greater) and the task involves numerical computations on large datasets (thousands of assets).
101