Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about complex subjects
Autonomous multi-agent research system. Dispatches parallel sub-agents, stores findings to files, synthesizes into briefs or reports.
Core principle: Planning → Parallel research agents → File-based findings → Synthesis = high quality research with minimal context usage.
digraph when_to_use {
"User requests research?" [shape=diamond];
"Quick factual lookup?" [shape=diamond];
"Use single search tool directly" [shape=box];
"Multiple sources or synthesis needed?" [shape=diamond];
"deep-research" [shape=box];
"User requests research?" -> "Quick factual lookup?" [label="yes"];
"Quick factual lookup?" -> "Use single search tool directly" [label="yes"];
"Quick factual lookup?" -> "Multiple sources or synthesis needed?" [label="no"];
"Multiple sources or synthesis needed?" -> "deep-research" [label="yes"];
}
Use for: Technical research, domain knowledge, market analysis, architectural patterns, comparing approaches, learning complex topics
Don't use for: Single fact lookups, specific URL fetches, questions answerable in one search
digraph process {
rankdir=TB;
"Create research directory in scratchpad" -> "Dispatch Query Analyzer agent";
"Dispatch Query Analyzer agent" -> "Analyzer writes research-plan.md";
"Analyzer writes research-plan.md" -> "Read plan, dispatch N Research agents IN PARALLEL";
"Read plan, dispatch N Research agents IN PARALLEL" -> "Each agent writes findings-{thread}.md";
"Each agent writes findings-{thread}.md" -> "Wait for all agents";
"Wait for all agents" -> "Dispatch Synthesizer agent";
"Dispatch Synthesizer agent" -> "Synthesizer reads all findings, writes final-output.md";
"Synthesizer reads all findings, writes final-output.md" -> "Read final output, present summary to user";
}
Uses ./query-analyzer-prompt.md. Writes research-plan.md containing:
Uses ./research-agent-prompt.md. Each agent:
exa-search skill for source strategyfindings-{thread-name}.mdSource Selection:
| Query Signal | Primary Source |
|---|---|
| Code, APIs, libraries | mcp__exa__get_code_context_exa |
| Concepts, analysis, opinions | mcp__exa__web_search_exa |
| Video explanations needed | yt-transcribe skill |
| Very recent news (< 1 week) | WebSearch fallback |
Uses ./synthesizer-prompt.md. Reads all findings files, writes final-output.md:
For complex queries (4+ threads): Use Task tool with subagent_type: "general-purpose" for true sub-agent isolation. Dispatch all research agents in a single message (parallel Task calls).
For simpler queries (2-3 threads): Parallel tool calls within same context is acceptable - make all searches simultaneously, then write findings files.
Either way: research threads must execute in parallel, not sequentially.
{scratchpad}/deep-research-{timestamp}/
├── research-plan.md
├── findings-*.md
└── final-output.md
| Mistake | Fix |
|---|---|
| Doing research yourself instead of dispatching agents | Always use the three-phase architecture |
| Keeping findings in context instead of files | Each agent MUST write to files |
| Sequential research agents | Dispatch all research agents in PARALLEL |
| Skipping planning phase | Always run Query Analyzer first |
| Using WebSearch as default | Exa is primary; WebSearch only for very recent news |