name: email-writer description: This skill should be used when the user needs to write professional emails. It guides users through a multi-step process to generate well-formatted HTML emails with proper structure, tone, and styling. Trigger phrases include "帮我写封邮件", "生成邮件", "写辞职信", "写会议邀请", "email writer", "draft an email".

Email Writer

Overview

This skill helps users write professional emails through a guided multi-step process (L3 SimpleSequentialChain). It analyzes user intent, collects necessary information dynamically, and generates well-formatted HTML emails with proper structure and styling.

How to Use This Skill

This skill uses an interactive state machine. Execute commands in order:

Quick Start

# 1. Start new session
python scripts/email_writer.py --start --input "帮我写封感谢信"

# 2. After getting analysis instruction, run LLM analysis, then:
python scripts/email_writer.py --session <id> --analyze-result '{"intent":"thankyou",...}'

# 3. This will output questions. Use appropriate tool to collect answers, then:
python scripts/email_writer.py --continue --session <id> --answers '{"recipient":"...",...}'

# 4. After getting outline instruction, run LLM, then:
python scripts/email_writer.py --session <id> --outline-result '{"outline":{...}}'

# 5. After getting draft instruction, run LLM, then:
python scripts/email_writer.py --session <id> --draft-result '邮件正文...'

# 6. After getting Step 5a (plain text) instruction, run LLM, then:
python scripts/email_writer.py --session <id> --plain-result '{"subject":"...","plainText":"..."}'

# 7. After getting Step 5b (HTML) instruction, run LLM, then:
python scripts/email_writer.py --session <id> --html-result '{"html":"..."}'

State Management

Each session has a state file in state/{session_id}.json. The script manages: - Current step (1-5) - Collected information - Intermediate results - Final output

Important: Always use the script to manage state. Do not manually edit state files.

Workflow

Step 1: Intent Analysis

Analyze the user's request to determine: - Email type (resignation, meeting invitation, thank you, apology, inquiry, custom) - Required tone (formal, business, friendly, urgent) - Required fields to collect - Optional fields that enhance the email

Output format:

{
  "analysis": {
    "intent": "resignation|meeting|thankyou|apology|inquiry|custom",
    "tone": "formal|business|friendly|urgent",
    "requiredFields": ["fieldName"],
    "optionalFields": ["fieldName"]
  },
  "collection": {
    "strategy": "tool_call|text",
    "reasoning": "why this strategy was chosen"
  }
}
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Step 2: Information Collection

CRITICAL: You MUST collect missing information before proceeding.

Based on Step 1 analysis, identify missing required fields and collect them:

Collection Strategy (MUST choose one):

1. Tool Call Strategy (Preferred if tools available)
2. 使用支持结构化表单交互的工具，如 ask_followup_question 等多选/单选/文本输入工具
3. 理想工具特征：支持多字段表单、单选/多选选项、必填/选填标记、交互式问答
4. 将缺失的字段组织成结构化问题（多选题、单选题、文本输入框），然后调用工具
5. CRITICAL: After calling the tool, STOP and wait for user response

6. Only proceed to Step 3 after receiving the answers

7. Text Strategy (Fallback)

8. If no tools available, ask user directly in natural language
9. List all required fields clearly
10. STOP and wait for user to provide the information
11. Only proceed to Step 3 after receiving all required fields

⚠️ IMPORTANT: You MUST stop after requesting information. Do not generate example content or proceed to the next step until the user provides the actual information.

Common fields by email type: - Resignation: recipient, lastDay, reason (optional), thanks (optional) - Meeting: recipient, meetingTime, meetingTopic, location (optional), agenda - Thank You: recipient, reason, specificDetails (optional) - Apology: recipient, apologyReason, correctiveAction (optional) - Inquiry: recipient, inquiryTopic, background (optional)

Step 3: Content Planning

Generate email outline based on collected information:

{
  "outline": {
    "subject": "email subject line",
    "sections": [
      {"type": "greeting", "content": "..."},
      {"type": "opening", "content": "..."},
      {"type": "body", "content": "..."},
      {"type": "closing", "content": "..."},
      {"type": "signature", "content": "..."}
    ]
  }
}

Step 4: Email Generation

Generate the complete email content following format specifications from references/email-formats.md.

Step 5: Polish and Format

Generate final output in TWO separate substeps:

Step 5a: Generate Plain Text Version - Polish the draft for clarity and tone consistency - Output clean, formatted plain text - No HTML tags, no CSS, no styling - Proper paragraph breaks and spacing

Step 5b: Generate HTML Version - Take the polished plain text from Step 5a - Apply professional HTML email styling - Use the template from assets/email-template.html - Inline CSS for email client compatibility - Keep content identical to plain text version, only add HTML structure

Output Format:

{
  "subject": "email subject",
  "plainText": "Clean plain text version without any HTML",
  "html": "Full HTML with inline CSS styling",
  "metadata": {
    "type": "email type",
    "tone": "tone used",
    "generatedAt": "timestamp"
  }
}

Important: The plainText field must contain NO HTML tags. The html field must contain the complete HTML document with styling.

Output Format

Always provide both formats:

1. HTML Version: Rich text with professional styling
2. Plain Text Version: Compatible with all email clients

Include a copy button or clear separation for easy use.

Resources

references/email-formats.md

Email format specifications and templates. Load this file when generating emails to ensure proper structure and styling.

scripts/generate_email.py

Python script that executes the L3 multi-step chain. Use this for deterministic email generation when needed.

assets/email-template.html

HTML email template with professional CSS styling.

这个Skill质量还不错，能帮你快速生成专业的辞职信、会议邀请、感谢信等5种常见邮件。它会自动询问你必要信息，生成带漂亮格式的HTML邮件和纯文本版本，中文支持也比较好。主要缺点是使用说明不够通俗，新手可能不知道怎么操作；生成的邮件偶尔会有格式问题；万一填错信息也没有好的修改方式。总体来说功能实用，但还有改进空间。