Matrix Deep Research

Matrix Deep Research

Perform comprehensive research on a topic using multiple sources: web search, Context7 documentation, Matrix memory, GitHub repositories, and more.

Usage

Parse user arguments from the skill invocation (text after the trigger phrase).

Format: <query> [depth]

• query: The research topic or question
• depth (optional): quick | standard | exhaustive (default: standard)

Depth Levels

• quick: Fast research using 2-3 sources, ~500 words output
• standard: Balanced research using 4-5 sources, ~1500 words output
• exhaustive: Deep research using 6+ sources, ~3000+ words output

Research Pipeline

Follow the 5-phase research pipeline detailed in references/research-pipeline.md:

1. Phase 1: Query Expansion - Analyze query, generate sub-queries, identify domains
2. Phase 2: Multi-Source Gathering - Collect from Web, Context7, Matrix, GitHub
3. Phase 3: Content Fetching - Retrieve full content from promising URLs
4. Phase 4: Synthesis - Deduplicate, organize, identify patterns
5. Phase 5: Output - Generate polished markdown report

Output

Save to session directory: $CLAUDE_SESSION_DIR/matrix-research-[slug]-[timestamp].md

If $CLAUDE_SESSION_DIR is not available, fall back to current working directory.

After completing research:

1. Display a summary of findings in the chat
2. Report the full markdown file location
3. Offer to elaborate on any section

Examples

/matrix:deep-research React Server Components best practices standard
/matrix:deep-research "how to implement OAuth 2.0 with PKCE" exhaustive
/matrix:deep-research TypeScript generics quick

Additional Resources

Reference Files

For detailed pipeline procedures, consult:

• references/research-pipeline.md - Complete 5-phase research process with output format