Form Hell Terminator

Problem

In K-12 school forms, the bottleneck is often repeated data entry rather than calculation: student names, attendance, grades, and other fields are copied across weekly teaching records, moral-education summaries, home-school reports, and compliance checklists. Manual cross-checking of field differences, missing items, and formatting easily becomes a cycle of pasting, correcting, and re-checking.

How It Works

The skill targets Chinese school-form workflows and turns one base dataset into multiple completed forms through an agent pipeline. Inputs can include Excel, CSV, photos of paper forms, or short text descriptions. Key steps are:
- Form understanding: infer the likely form list from date, school calendar, and teacher role.
- Schema reasoning: extract target fields, types, and constraints.
- Field mapping: handle synonyms, enum remapping, derived calculations, and unmappable fields with confidence levels.
- Validation and review: mark items as ready, needing human review, or requiring missing data.

Boundaries

It is intended for school scenarios, not general RPA. It does not evaluate students, modify raw data, use cross-class data without authorization, or process secret or non-school forms. Large batches should be split, and highly sensitive PII should be avoided in the base dataset.