Automated deep research that performs comprehensive multi-source investigation and produces detailed reports with citations. Use when user requests research, investigation, or in-depth analysis of any topic. Capabilities: generate structured research plans, and start sub agent to execute the plan.
Two-phase research workflow: planning then execution.
This skill provides a structured approach to deep research:
Phase 1: Planning (High Freedom)
Phase 2: Execution (Low Freedom)
The coordinator (main session) performs:
plans/research-plan-{timestamp}.jsonKey principle: The plan is a collaboration between coordinator and user. Never proceed to Phase 2 without explicit user confirmation of the research plan.
{
"topic": "Original research topic",
"research_questions": [
"What are the latest breakthroughs in this field?",
"Who are the leading organizations or researchers?",
"What are the current limitations or challenges?",
"What are the practical applications?"
],
"scope": {
"include": ["recent developments", "key players", "technical details"],
"exclude": ["historical background before 2020", "unrelated applications"]
},
"report_requirements": {
"sections": ["executive_summary", "findings", "conclusion", "references"],
"depth": "comprehensive",
"min_sources": 8,
"focus_areas": ["technical analysis", "market landscape"]
}
}
Required fields:
Optional fields:
Save plan to: plans/research-plan-{timestamp}.json
⚠️ WAIT FOR USER CONFIRMATION — Do not proceed to Phase 2 until user explicitly approves the research plan.
Key principle: The plan defines WHAT to research and WHAT the output should contain. It does NOT specify HOW to search (keywords, sources, rounds) - that is up to the research agent to determine dynamically.
Launch sub agent with the research plan. Launch sub agent with session_spawn tool. Instruct subagent to use deep-research-executor to execute the plan EXPLICITLY.