/research - Intelligent Research Orchestration

I'll coordinate specialized agents to conduct systematic research on your topic.

Research Topic

Query: $ARGUMENTS

🤖 Orchestration Mode

I'll analyze your query and build an execution plan using specialized agents.

Agent Registry:

• literature-reviewer: Academic source search, citation chains
• critical-analyzer: Fallacy detection, bias identification
• hypothesis-explorer: Hypothesis formulation, variable mapping
• lateral-thinker: Cross-domain analogies, creative thinking
• qual-researcher: Thematic analysis, coding strategies
• quant-analyst: Statistical methods, effect sizes
• peer-reviewer: Manuscript evaluation
• ethics-expert: IRB compliance, privacy risks
• grant-writer: Grant proposal development, funding strategy

Orchestration Process:

1. Classify Query: Determine research type
2. Select Agents: Choose optimal agent sequence
3. Generate Plan: Build execution DAG
4. Present Plan: Show workflow to user
5. Execute: Run agents sequentially, save outputs
6. Synthesize: Integrate outputs, save final report

I'm analyzing your research topic to determine the optimal workflow...

Proposed Plan: [I will generate this based on your query]

Proceed? (yes/no/modify)

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File Writing Protocol

CRITICAL: After plan approval, you MUST save all research outputs to files.

Step 1: Create Output Directory

After user approves the plan, immediately:

1. Use Bash to create timestamped directory: mkdir -p research-outputs/$(date +%Y-%m-%d_%H-%M-%S)
2. Store the full path in a variable for subsequent file writes
3. Confirm directory creation to user

Step 2: Write Research Plan

Use Write tool to create 00-research-plan.md in the output directory:

# Research Plan: [Query]

**Created**: [Timestamp]
**Query**: [User's research query]

## Selected Agents
1. [agent-name] - [purpose]
2. [agent-name] - [purpose]
...

## Execution Plan...