gh-zorrocheng-mc-obsidian-vault-manager-plugin/commands/capture.md

description, argument-hint, allowed-tools

description	argument-hint	allowed-tools
Smart capture with AI-powered auto-tagging for Bases filtering	content to capture	Skill(obsidian-vault-manager) SlashCommand(/gitingest) Bash(*) mcp__fetch__fetch mcp__MCP_DOCKER__get_file_contents mcp__MCP_DOCKER__list_commits mcp__MCP_DOCKER__get_video_info mcp__MCP_DOCKER__get_transcript mcp__obsidian-mcp-tools__create_vault_file

Task

Execute the obsidian-vault-manager skill for universal content capture.

Input: $ARGUMENTS (YouTube URL, GitHub URL, web article, or plain text) Operation: Intelligent routing with AI-powered tagging

Process

The skill will:

1. Analyze content type from input

   • YouTube URL → Video capture workflow
   • GitHub URL → Delegate to /gitingest command
   • HTTP/HTTPS URL → Article capture workflow
   • Plain text → Idea capture workflow

2. Apply AI-powered tagging from predefined taxonomy

   • Content type tags (video, idea, article, repository)
   • Topic tags (2-4 relevant topics: AI, productivity, development, etc.)
   • Status tags (inbox for new captures)
   • Metadata tags (actionable, technical, tutorial, etc.)

3. Create properly formatted note using bundled templates

   • Smart filename generation
   • Comprehensive frontmatter
   • Structured content sections
   • Tag analysis and Bases filtering suggestions

GitHub Repository Handling (IMPORTANT)

When a GitHub URL is detected:

1. Extract GitHub URL from $ARGUMENTS
2. Call /gitingest command using SlashCommand tool:

   SlashCommand("/gitingest https://github.com/owner/repo")
   

3. The /gitingest command will:
   • Use MCP Docker GitHub tools (get_file_contents, list_commits)
   • Analyze repository structure and contents
   • Generate comprehensive markdown with proper tagging
   • Auto-save to /Users/zorro/Documents/Obsidian/Claudecode/
4. Return success - /gitingest handles the complete workflow

DO NOT:

• ❌ Manually call mcp__gitingest__* tools (deprecated)
• ❌ Try to analyze GitHub repos yourself
• ❌ Use the obsidian-vault-manager skill for GitHub URLs

Example Flow:

User: /capture https://github.com/anthropics/claude-code

→ Detect: GitHub URL
→ Execute: SlashCommand("/gitingest https://github.com/anthropics/claude-code")
→ Result: Complete repository analysis saved to Obsidian

Content Routing

The skill automatically routes based on input:

YouTube Videos:

• Pattern: youtube.com/watch?v= or youtu.be/
• Fetches transcript and metadata
• Template: templates/youtube-note-template.md
• Tags: [video, {topics}, inbox, {metadata}]

GitHub Repositories:

• Pattern: github.com/owner/repo
• Uses /gitingest command (MCP Docker GitHub tools)
• Creates comprehensive repository analysis
• Tags: [repository, {language}, {topics}, inbox, technical]

Web Articles:

• Pattern: HTTP/HTTPS URLs (not YouTube/GitHub)
• Fetches and summarizes content
• Extracts key takeaways
• Tags: [article, {topics}, inbox, quick-read]

Ideas & Thoughts:

• Pattern: Plain text without URL
• Template: templates/idea-template.md
• Smart filename from content
• Tags: [idea, {topics}, inbox, {metadata}]

Tag Taxonomy

All tags come from the predefined taxonomy in the skill:

Content Type (1 tag)

video, idea, article, study-guide, repository, reference, project

Topics (2-4 tags)

AI, Claude, Gemini, product, marketing, projects, workflow, architecture, design, UI-UX, coding, productivity, knowledge-management, development, learning, research, writing, tools, business, automation, data-science, web-development, personal-growth, finance

Status (1 tag)

inbox, processing, evergreen, published, archived, needs-review

Metadata (0-2 tags)

high-priority, quick-read, deep-dive, technical, conceptual, actionable, tutorial, inspiration

Expected Output

After successful capture:

• ✅ Content analyzed and type detected
• ✅ Smart tags applied (6-8 total)
• ✅ Note created with proper filename
• ✅ Template populated with content
• ✅ Tag analysis section added
• ✅ Bases filtering suggestions included

Examples

YouTube video:

/capture https://youtube.com/watch?v=abc123

→ Creates video note with transcript, learning objectives, curriculum

GitHub repo:

/capture https://github.com/anthropics/claude-code

→ Creates repository analysis with architecture overview

Article:

/capture https://medium.com/article-about-ai

→ Creates article summary with key takeaways

Quick idea:

/capture Use AI to automatically categorize notes

→ Creates idea note with smart filename and tags

Integration with Bases

Tags enable powerful Bases filtering:

• type = video AND tags contains "AI"
• tags contains "inbox" AND tags contains "high-priority"
• tags contains "actionable" AND status = "processing"
• type = repository AND tags contains "development"