research-reprompter

# Researcher v2.0 (USACF Research Generator)

> **Voice-to-research engineering for Claude Code. Transform rough questions into executable USACF swarm configurations.**

## Changelog

| Version | Changes |
|---------|---------|
| **v2.0** | Full USACF integration: algorithm selection, claude-flow commands, adversarial review, fact-checking, memory namespaces |
| v1.0 | Initial version based on Reprompter v4.1 |

## Purpose

Turn your rough research questions into complete, executable multi-agent research prompts using the USACF framework.

**The Problem:**
- Research questions are often vague and unstructured
- Manual setup of research swarms is tedious
- Missing adversarial review leads to blind spots
- No systematic algorithm selection

**The Solution:**
Smart interview → USACF super-prompt with all phases, agents, and commands.

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## Process (4 steps)

### Step 1: Receive raw input
Accept the user's rough research question (dictated, typed messily, or incomplete).

**Trigger words:** `research`, `investigate`, `deep dive`, `analyze`, `research this`

### Step 2: Complexity detection
**Auto-detect complexity to select algorithm:**
- Simple (< 20 words, single topic) → CoT, 1-3 agents
- Medium (branching, comparison) → ToT, 4-8 agents
- Complex (comprehensive, multi-domain) → GoT, 9-15 agents

### Step 3: Smart interview (gather user input)
Gather:
1. **Research Title** - Name for this research
2. **Subject** - What we're researching
3. **Subject Type** - Product / Software / Business / Process / Organization
4. **Research Type** - Competitive / Gap / Technical / Due Diligence / Market
5. **Objectives** - What to find out (1-20, one per line)
6. **Constraints** - Focus areas, limitations (optional)
7. **Depth** - CoT / ToT / GoT
8. **Output** - Brief / Full Report / Action Plan / Raw

### Step 4: Generate USACF super-prompt + score
Generate complete executable configuration with:
- Initialization commands
- All phase agents (Discovery, Analysis, Adversarial, Syn...