export_experiment_data_to_excel
Exports any structured experimental data (JSON, tables, time series) to well-formatted Excel (.xlsx) files. Auto-names sheets (Raw Data, Growth Curves, Cell Counts, etc.), adds unit headers and annotation rows, applies consistent styling, and produces lab-ready spreadsheets for sharing, archival, or downstream analysis in R, pandas, or Excel.
npx skills add BioTender-max/awesome-bio-agent-skills --skill export_experiment_data_to_excel --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Export Experiment Data to Excel ## Overview `export_experiment_data_to_excel` transforms heterogeneous experimental data — JSON from video analysis pipelines, pandas DataFrames, time-series arrays, nested protocol outputs — into clean, human-readable Excel workbooks. The skill auto-assigns logical sheet names (e.g., Raw Data, Growth Curves, Cell Counts, Population Metrics), prepends unit and metadata annotation rows, applies consistent column widths and header styling, and emits a single .xlsx file ready for lab notebooks, ELN attachment, regulatory submission, or downstream statistical analysis. It bridges the gap between machine-generated structured data and the Excel-centric workflows that many wet-lab researchers and collaborators expect. ## When to Use This Skill Use this skill when any of the following conditions are present: - **LabOS pipeline export**: Output from `extract_experiment_data_from_video`, `analyze_lab_video_cell_behavior`, or `generate_cell_analysis_charts` is in JSON or tabular form and must be shared as an Excel file for collaborators or PI review. - **Multi-sheet report assembly**: Several related datasets (raw counts, summary metrics, time-series curves,
- Overview
- When to Use This Skill
- Core Capabilities
- 1. Multi-Source Input Parsing
- 2. Automatic Sheet Naming & Organization
- 3. Unit Headers & Annotation Rows
- 4. Formatting & Styling
- 5. Specialized Export Modes
- 6. Output Options
- Usage Examples
- Example 1 — Cell Behavior Analysis JSON → Multi-Sheet Excel
- Example 2 — Video Extraction Timeseries + Events
- Example 3 — 96-Well Plate Dose-Response Table
- Integration Notes
What does the export_experiment_data_to_excel skill do?
Exports any structured experimental data (JSON, tables, time series) to well-formatted Excel (.xlsx) files. Auto-names sheets (Raw Data, Growth Curves, Cell Counts, etc.), adds unit headers and annotation rows, applies consistent styling, and produces lab-ready spreadsheets for sharing, archival, or downstream analysis in R, pandas, or Excel.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill export_experiment_data_to_excel --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.