Memo Command

This command records work information using the work-memo skill's capabilities. It's designed for information recording only - no task execution.

Usage

Run this command with your work information:

/memo 填写的信息

Or provide a URL to fetch and summarize webpage content:

/memo https://example.com/article

Process

1. Parse the input to extract work details from natural language or URL
2. Identify dimensions (type, urgency, importance, tags, contexts, dates)
3. For URLs: Fetch webpage content, extract and summarize
4. Record the information using the work-memo storage system
5. Return confirmation with recorded details

Implementation

When this command is triggered:

For Text Input

1. Parse the user's input to extract:

   • Title/description of work
   • Type (task, meeting, call, email, review, coding, design, etc.)
   • Priority indicators (urgent, important)
   • Tags (#work, #urgent, #project)
   • Contexts (@office, @home, @phone)
   • Dates (today, tomorrow, this week, etc.)

2. Use the work-memo skill's memo_command.py script to record the information

3. Return a confirmation with:

   • Recorded title
   • Identified type
   • Priority levels
   • Eisenhower quadrant
   • Tags and contexts

For URL Input

1. Validate the URL format
2. Use MCP web_reader tool to fetch and convert webpage content to markdown format
3. Use AI to analyze and summarize the webpage content:
   • Extract main title and key information
   • Generate intelligent summary using AI understanding
   • Identify relevant tags and context
4. Record to Markdown storage with:
   • Webpage title as record title
   • URL stored in contexts
   • AI-generated summary in description
   • AI analysis with suggestions and insights
   • Default type: research
   • Default tags: web, reading
5. Return confirmation with:
   • Webpage title
   • URL
   • AI-generated summary
   • Record details with file location

Examples

Text Input Examples

• /memo 紧急会议今天 #work @office → Records an urgent meeting for today
• /memo 完成项目报告 → Records a task to complete a project report
• /memo 修复登录bug #urgent → Records an urgent bug fix task
• /memo 团队例会 #meeting → Records a team meeting
• /memo 重要电话明天 @phone → Records an important phone call for tomorrow

URL Input Examples

• /memo https://example.com/article → Fetches webpage, summarizes content, and records URL
• /memo https://docs.python.org/tutorial → Records Python tutorial webpage with summary
• /memo https://github.com/project/readme #project → Records GitHub README with project tag

Supported Features

Natural Language Elements

• Tags: Use # followed by tag name (e.g., #work, #urgent, #project)
• Contexts: Use @ followed by context (e.g., @office, @home, @phone)
• Priority: Words like "urgent", "important", "紧急", "重要"
• Dates: "today", "tomorrow", "this week", "今天", "明天", "本周"
• URLs: Provide a URL starting with http:// or https://

Automatic Detection

The command automatically detects:

• URL Input: If input starts with http:// or https://
• Work Type: Based on keywords (meeting, call, bug, report, etc.)
• Urgency Level: 1-5 scale based on urgency indicators
• Importance Level: 1-5 scale based on importance indicators
• Eisenhower Quadrant: Q1-Q4 based on urgency/importance combination

Webpage Processing

When a URL is provided:

• Content Extraction: Extracts main content from webpage
• Summary Generation: Creates a concise summary (first 300 characters)
• URL Storage: Records the URL in contexts for easy reference
• Default Tags: Adds 'web' and 'reading' tags automatically
• Default Type: Sets record type to 'research'

Output Format

Text Input Output

{
  "status": "recorded",
  "title": "紧急会议",
  "type": "meeting",
  "urgency": 4,
  "importance": 3,
  "eisenhower_quadrant": "Q1",
  "tags": ["work"],
  "contexts": ["office"],
  "date": "2026-01-20"
}

URL Input Output

{
  "status": "success",
  "id": "123",
  "title": "Article Title",
  "url": "https://example.com/article",
  "summary": "Content summary...",
  "type": "research",
  "urgency": 3,
  "importance": 3,
  "tags": ["web", "reading"],
  "contexts": ["https://example.com/article"],
  "eisenhower": "Q2",
  "created_at": "2026-01-20T10:00:00"
}

Notes

• This is a record-only command - no tasks are executed
• All information is stored in the work-memo database
• Use natural language for best results
• The more context you provide, the better the categorization
• For URLs: Content is fetched and summarized, but not executed
• URL records default to 'research' type with 'web' and 'reading' tags
• Requires internet connection for URL processing