---
name: "tablib-multiformat-dataset-export"
description: "Export datasets simultaneously to Excel, JSON, YAML, CSV, and HTML using Python Tablib."
metadata:
  author: "Jazzband"
  version: "1.0.0"
  runtime_compatibility:
    - "codex"
    - "claude-code"
    - "cursor"
    - "windsurf"
triggers:
  - "export dataset to multiple formats"
  - "convert json to excel tablib"
  - "manage tabular data tablib"
permissions:
  fs_read: true
  fs_write: "workspace"
  shell_exec: false
  net_access: false
---

# Tablib Multi-Format Dataset Exporter

Uses Tablib in Python to manage tabular datasets: appending rows, defining tagged dynamic columns, sorting, filtering, and exporting to 8+ formats with a single unified API.

## When to Invoke
Invoke this skill whenever you need to:
- export dataset to multiple formats
- convert json to excel tablib
- manage tabular data tablib

## Execution SOP & Rules
1. Initialize datasets with data = tablib.Dataset(*rows, headers=headers).
2. Export to desired formats directly via data.export('xlsx'), data.export('json'), or data.export('csv').
3. Assemble multi-sheet workbooks using book = tablib.Databook([sheet1, sheet2]).
4. Ensure date and timestamp values are properly formatted prior to export.

## Verification Checklist
- Run local linting, syntax validation, and type-checks before reporting completion.
- Ensure all created or modified files adhere to workspace boundaries and avoid uncommitted secrets.
- Verify tests or build commands exit cleanly with return code 0.