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name: deep-research description: Deep research with sequential thinking and parallel agents

Deep Research: $ARGUMENTS

Execute comprehensive multi-angle research using structured thinking and parallel investigation.

Phase 1: Decompose

Use mcp__MCP_DOCKER__sequentialthinking to break the topic into 3-5 independent research aspects:

• Identify key questions per aspect
• Define what "understanding" looks like for each
• Create focused research prompts

ultrathink

Phase 2: Parallel Research

Launch one Task agent per aspect simultaneously (in a single message):

CopyTask tool:
  subagent_type: "Explore"
  run_in_background: true
  prompt: "Research [aspect]: [questions]. Return key findings and insights."

Wait for all agents with TaskOutput (block: true).

Phase 3: Synthesize

Use mcp__MCP_DOCKER__sequentialthinking to:

• Cross-reference findings from all agents
• Identify patterns, contradictions, connections
• Form conclusions

Phase 4: Present

Structure response as:

• Key Findings (bullets)
• Insights & Connections (cross-cutting themes)
• Conclusions (synthesis)
• Next Steps (if applicable)

Constraints

• Minimum 3 agents, maximum 5
• Always use sequential thinking for decomposition AND synthesis
• Output in chat only