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lovstudio-fill-web-form

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Original

English
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Translation

Chinese

fill-web-form — Fill Web Forms from Local Knowledge Base

fill-web-form — 从本地知识库填充网页表单

Fetch a web form, extract all fields, deep-search the user's local knowledge base for matching information, and output a ready-to-use markdown document.
获取网页表单，提取所有字段，深度搜索用户本地知识库以匹配相关信息，并输出可直接使用的Markdown文档。

When to Use

使用场景

  • User provides a URL to a web form and wants help filling it
  • Conference speaker applications, event registrations, profile forms
  • Any scenario where form fields can be answered from existing local materials
  • 用户提供网页表单的URL并需要协助填写
  • 会议演讲者申请、活动注册、个人资料表单
  • 任何可通过现有本地资料回答表单字段的场景

Workflow (MANDATORY)

工作流程（必须遵守）

Step 1: Fetch and extract form fields

步骤1：获取并提取表单字段

Use 
WebFetch
to retrieve the form page and extract ALL fields:
WebFetch(url, prompt="Extract ALL form fields. For each field list: label,
type (text/textarea/select/radio/checkbox/file), required status, options
if applicable, min length constraints. Return structured list.")
If the form has radio/select fields, make a second 
WebFetch
call to get the exact option text for each.
使用
WebFetch
获取表单页面并提取所有字段：
WebFetch(url, prompt="Extract ALL form fields. For each field list: label,
type (text/textarea/select/radio/checkbox/file), required status, options
if applicable, min length constraints. Return structured list.")
如果表单包含单选/下拉选择字段，需再次调用
WebFetch
以获取每个字段的确切选项文本。

Step 2: Deep-search local knowledge base

步骤2：深度搜索本地知识库

Launch an 
Agent
(subagent_type: Explore, thoroughness: very thorough) to search the user's knowledge base. The agent prompt MUST include:
  1. The complete list of form fields from Step 1
  2. Instructions to search for:
    • Personal/professional bio and profile files
    • Speaking/conference history
    • Project descriptions and achievements
    • Company/organization info
    • Published articles and their topics
    • Awards, credentials, media mentions
  3. Search locations (adapt to user's repo structure):
    • Profile/about files (
      **/profile/**
      , 
      **/about/**
      , 
      **/bio/**
      )
    • CLAUDE.md files for project context
    • Posts and articles directories
    • Project directories
    • Any 
      official.md
      , 
      awards.md
      , 
      resume
      files
  4. Also check user memory (MEMORY.md) for cached info
Run this in parallel with any additional 
WebFetch
calls from Step 1.
启动一个
Agent
（subagent_type: Explore, thoroughness: very thorough）来搜索用户的知识库。Agent的提示必须包含：
  1. 步骤1中提取的完整表单字段列表
  2. 搜索指令：
    • 个人/职业简介和资料文件
    • 演讲/会议经历
    • 项目描述与成果
    • 公司/组织信息
    • 已发表文章及其主题
    • 奖项、资质、媒体报道
  3. 搜索位置（根据用户仓库结构调整）：
    • 个人资料/关于页面文件（
      **/profile/**
      , 
      **/about/**
      , 
      **/bio/**
      ）
    • CLAUDE.md文件（用于获取项目上下文）
    • 文章与帖子目录
    • 项目目录
    • 任何
      official.md
      、
      awards.md
      、
      resume
      文件
  4. 同时检查用户记忆（MEMORY.md）中的缓存信息
此步骤可与步骤1中的额外
WebFetch
调用并行执行。

Step 3: Map fields to content

步骤3：字段与内容映射

For each form field, synthesize the best answer from search results:
Field TypeStrategy
Short text (name, company, city)Direct extraction from profile
Bio/introduction (min chars)Compose from official bio, expand to meet minimum
Long-form (case background, solution)Synthesize from articles, projects, talks
Radio/selectPick the best-matching option based on profile
File uploadMark as "needs manual upload" with specs
Private (phone, email)Mark as "needs manual input", suggest if found
针对每个表单字段，从搜索结果中合成最佳答案：
字段类型策略
短文本（姓名、公司、城市）从个人资料中直接提取
个人简介/自我介绍（最低字符数）基于官方简介撰写，扩展至满足最低要求
长文本（案例背景、解决方案）从文章、项目、演讲内容中合成
单选/下拉选择根据个人资料选择最匹配的选项
文件上传标记为“需手动上传”并注明要求
隐私信息（电话、邮箱）标记为“需手动填写”，若找到相关信息可给出建议

Step 4: Generate output document

步骤4：生成输出文档

Write a markdown document with ALL form fields filled. Format:
markdown
---
title: "<Form Name> - 填写内容"
status: draft
---
撰写包含所有已填充字段的Markdown文档，格式如下：
markdown
---
title: "<表单名称> - 填写内容"
status: draft
---

<Form Name>

<表单名称>

表单地址：<URL>
表单地址：<URL>

1. <Field Label>

1. <字段标签>

<Filled content or instruction>
<已填充内容或说明>

2. <Field Label>

2. <字段标签>

...

**Rules:**
- Number every field matching the form order
- For radio/select: prefix chosen option with `**✅ 选择：**`
- For file uploads: use `> ⚠️ 需上传：<specs>`
- For private fields: use `> ⚠️ 需手动填写`（with suggestion if available）
- For textarea fields with min length: ensure content meets or exceeds minimum
- Include a summary table at the end showing field → status (filled/manual)
- **MANDATORY:** Append an "inspected sources" section at the end of the document
  with a tree of all files that were read/searched during knowledge base retrieval:

```markdown
---
...

**规则：**
- 按照表单顺序为每个字段编号
- 单选/下拉选择字段：在选中选项前添加`**✅ 选择：**`
- 文件上传字段：使用`> ⚠️ 需上传：<要求>`
- 隐私字段：使用`> ⚠️ 需手动填写`（若有相关信息可附带建议）
- 有最低长度要求的文本域：确保内容满足或超过最低长度
- 在文档末尾添加汇总表格，展示字段→状态（已填充/需手动）
- **必须遵守：** 在文档末尾添加“检索文件路径”附录，列出知识库检索过程中读取/搜索的所有文件的树形结构：

```markdown
---

附录：检索文件路径

附录：检索文件路径

knowledge-base/
├── profile/
│   └── official.md          ← 个人简介
├── posts/standalone/2025/
│   ├── 07-10-Vol-51...md    ← 演讲经历
│   └── 06-25-comate...md    ← AI工具评测
├── 1-Projects/lovpen/
│   └── ...                  ← 产品信息
└── CLAUDE.md                ← 项目上下文

  This tree helps the user verify source coverage and spot missing materials.

**Output naming:** Follow user's naming convention. Default:
`手工川-<form-topic>-<YYYY-MM-DD>-v0.1.md`
knowledge-base/
├── profile/
│   └── official.md          ← 个人简介
├── posts/standalone/2025/
│   ├── 07-10-Vol-51...md    ← 演讲经历
│   └── 06-25-comate...md    ← AI工具评测
├── 1-Projects/lovpen/
│   └── ...                  ← 产品信息
└── CLAUDE.md                ← 项目上下文

  该树形结构可帮助用户验证资料覆盖范围，发现缺失的材料。

**输出命名：** 遵循用户的命名规范。默认格式：
`手工川-<表单主题>-<YYYY-MM-DD>-v0.1.md`

Step 5: Present summary

步骤5：展示汇总信息

After writing the file, show:
  1. A summary table of all fields with fill status
  2. Count of auto-filled vs needs-manual fields
  3. Remind user which fields need manual action (uploads, private data)
  4. The inspected files tree (same as in the document appendix, for quick review)
生成文件后，展示以下内容：
  1. 包含所有字段填充状态的汇总表格
  2. 自动填充字段与需手动填写字段的数量统计
  3. 提醒用户哪些字段需要手动操作（上传文件、隐私数据）
  4. 检索文件树形结构（与文档附录中的一致，方便快速查看）

Key Principles

核心原则

  1. Pre-fill aggressively — search deeply, compose content, don't leave blanks
  2. Meet all constraints — character minimums, bullet point counts, etc.
  3. Match form tone — conference apps need professional language, registrations can be brief
  4. Respect privacy — never guess phone numbers or passwords, mark for manual input
  5. Cite sources — when composing from knowledge base, the content should be accurate to the user's real experience
  1. 主动预填 — 深度搜索，撰写内容，不留下空白
  2. 满足所有限制 — 字符数下限、项目符号数量等
  3. 匹配表单语气 — 会议申请需使用专业语言，注册表单可简洁明了
  4. 尊重隐私 — 绝不猜测电话号码或密码，标记为需手动填写
  5. 引用来源 — 从知识库撰写内容时，需准确符合用户的真实经历