lovstudio-fill-form

name	lovstudio-fill-form
category	Office Automation
tagline	Fill Word form templates (.docx). Auto-detects table fields, CJK font support.
description	Fill in Word document form templates (.docx) with user-provided data. Reads a template containing tables with label→value cell pairs, detects all fillable fields, and outputs a completed document. Handles CJK/Latin mixed text with proper font switching. Use this skill when the user wants to fill in a form template, complete an application form, populate a Word table form, or automate document filling. Also trigger when the user mentions "填表", "填写表格", "fill form", "fill template", "表格填写", "申请表", "登记表", or has a .docx template with blank fields to fill.
license	MIT
compatibility	Requires Python 3.8+ and python-docx (`pip install python-docx`). Cross-platform: macOS, Windows, Linux. Input must be .docx (recommended) or .doc (auto-converted via textutil on macOS, but table structure may be lost — use .docx when possible).
metadata	{"author":"lovstudio","version":"1.1.2","tags":"form fill template docx word table cjk"}

fill-form — Fill Word Form Templates

This skill fills in Word document form templates (.docx) with user-provided data. It detects table-based form fields (label in one cell, value in the adjacent cell) and populates them automatically.

When to Use

• User has a .docx form template with blank fields to fill
• User wants to fill in an application form, registration form, etc.
• Document uses Word tables for form layout (label | value cell pairs)
• User mentions 填表, 申请表, 登记表, or wants to automate form filling

Workflow (MANDATORY)

You MUST follow these steps in order:

Step 1: Scan the template

Discover all fillable fields:

python lovstudio-fill-form/scripts/fill_form.py --template <path> --scan

Step 2: Pre-fill from known context

Before asking the user, try to fill as many fields as possible from:

1. User memory — name, title, organization, etc.
2. Context files — if the user provides reference documents (e.g. STARTER-PROMPT.md, project docs), extract relevant info to fill content-heavy fields
3. Conversation context — anything already mentioned

For content-heavy fields (e.g. "主要内容/简介/摘要"), actively compose the content by synthesizing from context files, user's known expertise, and the topic/title.

Step 3: Ask only what you don't know

Use AskUserQuestion to collect ONLY the fields you cannot fill from context.

• Group fields into a single question
• If ALL fields are unknown, list them all
• If the user says some fields can be left blank (e.g. "其他朋友会帮我填"), respect that and leave those empty
• Do NOT force the user to provide every field

Step 4: Fill and save

Write a JSON data file (avoids shell escaping issues with long text), then run:

python lovstudio-fill-form/scripts/fill_form.py \
  --template <path> \
  --data-file /tmp/form_data.json

Output path rules:

• Default: <template_dir>/<name>_filled.docx (same directory as the template)
• If the template is in a temp directory or system path, save to user's document directory or ask the user where to save
• Use --output to override explicitly

CLI Reference

Argument	Default	Description
--template	(required)	Path to template .doc/.docx file
--output	<template_dir>/<name>_filled.docx	Output .docx path
--scan	false	List all detected form fields
--data	""	JSON string with field→value mapping
--data-file	""	Path to JSON file with field→value mapping
--font	Platform CJK serif	Font name for filled text
--font-size	11	Font size in points

How Field Detection Works

1. Table-based (primary): Scans all tables for rows with label→value cell pairs. A label cell contains short text (CJK or Latin); the adjacent cell is the value field.
2. Merged rows: Detects full-width merged cells with "Label：" pattern as large text areas.
3. Paragraph fallback: If no tables found, detects "Label：value" patterns in paragraphs.

Limitations

• .doc files are auto-converted to .docx via macOS textutil, which loses table structure. For best results, use .docx templates directly. If you only have .doc, convert with LibreOffice first: libreoffice --headless --convert-to docx file.doc
• Fields are matched by normalized label text (whitespace removed). If a label contains unusual formatting, the match may fail — use --scan to verify detection.

Dependencies

python3 -m pip install python-docx