test-repo/skills/url-research-documents/SKILL.md

URL Research to Documents

Download web articles and automatically create research documents in Mission Control.

When to Use

Use this skill when:

• User provides a URL and wants it researched/summarized
• Task description contains a URL to research
• Creating research notes from web articles
• Building a knowledge base in Mission Control Documents

Workflow

Step 1: Extract Article Content

Use Tavily via mcporter to extract the full article:

mcporter call tavily.tavily_extract 'urls=["URL_HERE"]' extract_depth=advanced format=markdown

Step 2: Create Document in Mission Control

Create a markdown document at: Location: /Users/mattbruce/Documents/Projects/OpenClaw/Web/mission-control/app/documents/page.tsx

Document Format:

# [Article Title from extracted content]

**URL:** [original URL]
**Source:** [domain name]
**Date Researched:** [YYYY-MM-DD]
**Tags:** [auto-generated based on content]

---

## Summary
[2-3 paragraph overview of the article content]

## Key Takeaways
- [Bullet point 1]
- [Bullet point 2]
- [Bullet point 3]

## Notable Quotes
> [Direct quote from article]

## Related Tasks
- [Link to Gantt task if this came from a task]

## Action Items
- [ ] [Any follow-up actions]

Step 3: Save to Mission Control

The document is automatically saved via the Documents page's LocalStorage system.

Folder Organization

Default Folder: Research/

Sub-folders (auto-detect):

• Research/AI & Agents/ — AI, ML, OpenClaw, automation content
• Research/iOS Development/ — Swift, Xcode, Apple content
• Research/Business & Marketing/ — SaaS, indie hacking, growth
• Research/Tools & Tech/ — Development tools, frameworks

Auto-detection based on:

• URL domain (twitter.com → social, github.com → code)
• Article content keywords
• Title analysis

Examples

Example 1: Research from User Request

User: "Research this: https://x.com/Voxyz_ai/status/2019914775061270747"

Action:

mcporter call tavily.tavily_extract 'urls=["https://x.com/Voxyz_ai/status/2019914775061270747"]' extract_depth=advanced

Create Document:

• Title: "I Built an AI Company with OpenClaw + Vercel + Supabase — Two Weeks Later, They Run It Themselves"
• Folder: Research/AI Agents/
• Tags: #ai #agents #openclaw #automation #voxyz

Example 2: Research from Task Description

Task: "Research implementation details: https://github.com/openclaw/docs"

Action:

1. Extract content with Tavily
2. Create document in Research/Tools & Tech/
3. Update task with link to document
4. Move task to "review"

Example 3: Batch Research

User: "Research these 3 articles about AI coding"

Action:

1. Extract all 3 URLs
2. Create 3 separate documents
3. Create summary index document linking all 3
4. Tag with #ai-coding-collection

Document Naming Convention

Use article title exactly as published:

• ✅ "I Built an AI Company with OpenClaw..."
• ✅ "Swift 6.2: What's New for Developers"
• ✅ "The Ultimate Guide to CoreML"

Do NOT modify titles (as per user preference)

Tags (Auto-Generated)

Common tags to apply:

• #ai — Artificial intelligence content
• #agents — AI agents, automation
• #openclaw — OpenClaw-related
• #ios — iOS development
• #swift — Swift programming
• #business — SaaS, entrepreneurship
• #research — All research documents
• #article — Web articles

Detection keywords:

• "agent", "automation", "workflow" → #agents
• "OpenClaw", "Claude", "AI" → #ai #openclaw
• "Swift", "iOS", "Xcode", "Apple" → #ios #swift
• "SaaS", "startup", "revenue" → #business

Integration with Gantt Tasks

When research comes from a task:

1. Create the document
2. Add task link to document: Task: https://gantt-board.vercel.app/tasks/{task-id}
3. Optionally update task description with document link
4. Move task to "review" status

Error Handling

If Tavily extraction fails:

• Try extract_depth=basic instead of advanced
• Report failure to user with error details
• Suggest manual copy-paste as fallback

If document creation fails:

• Save to /tmp/research-{timestamp}.md as backup
• Report error to user
• Provide file path for manual recovery

Rate Limits

• Tavily: ~1 request per second
• If rate limited, wait 10-15 seconds and retry
• Batch multiple URLs with 15-second delays between each

Related Skills

• tavily-web-research — General Tavily usage guide
• Use together: This skill for document creation, tavily-web-research for extraction commands