---
name: research
description: Deep research workflow. Searches web, checks Notion knowledge base for existing research, then produces a structured research document and optionally saves to Notion.
argument-hint: [topic]
allowed-tools: Bash, Read, Grep, Glob, Agent, WebFetch, WebSearch
---

Deep research on: **$ARGUMENTS**

## Research Protocol

### Phase 1: Check Existing Knowledge
1. Search the Notion workspace for existing research on this topic (use Notion search MCP)
2. Check the Library of Nerd, Lib_CYBR, and Google Docs Starred Import for related docs
3. Check the Syn_OS Knowledge Hub if topic is infrastructure/security related
4. Report what already exists — avoid duplicating research

### Phase 2: Web Research
1. Search the web for current, authoritative sources on the topic
2. Prioritize: official documentation, academic papers, established security resources, recent (2025-2026) technical blogs
3. Gather at least 5 distinct sources
4. Extract key facts, frameworks, and actionable insights

### Phase 3: Synthesize
Produce a structured research document with:
- **Executive Summary** (3-5 sentences)
- **Key Findings** (bulleted, with source citations)
- **Technical Details** (toggle sections for depth)
- **Relevance to CoM/Syn_OS** (how this connects to current work)
- **Action Items** (concrete next steps)
- **Sources** (linked references)

### Phase 4: Save (Optional)
Ask the user if they want to save the research to Notion. If yes:
1. Determine the best Target Section (AI Agents, OS Hardening, DevSecOps, ARCANUM Reference, Kernel Dev, Business/GTM, General Research)
2. Create or update the appropriate condensed research page
3. Add an entry to Google Docs Starred Import DB if this originated from a Google Doc
4. Update cross-references in related pages