research-tools

Consolidate and synthesize research outputs from multiple AI models or sources into a unified, pattern-aware, provenance-enriched report with quality metrics. Use when the user has research outputs to consolidate, wants to synthesize multiple reports, asks to "consolidate", "synthesize", or "merge" research findings, or needs to reconcile conflicting information from different sources. Works with outputs from Claude, Gemini, GPT-5.2, or any combination of AI/human sources. Supports manifest-driven (from create-research-brief) and standalone operation.

Designs multi-model AI research strategies across 9 research patterns for Claude Opus 4.6, Gemini 3.1 Pro Deep Research, and optionally GPT-5.2 Deep Research (with site restrictions and mid-session intervention) or GPT-5.2 Chat. Generates copy-pasteable prompts optimized per model with pattern-aware role assignment, a consolidation manifest for downstream synthesis, and a merge prompt for consolidating outputs. Accepts Research Request Specification from research-interviewer upstream. Triggers on "create research brief", "research plan", "multi-model research", "research prompts for Claude/Gemini/OpenAI", "design research strategy", "consolidate research outputs", "synthesize research results", "research best practices for...", "best practices for [technology]", "create a best practices guide for...", "research [technology] patterns", "document [technology] best practices", "compare X vs Y", "landscape of [domain]", "compliance requirements for [topic]", "ROI analysis for [decision]". Modes: DUAL (Claude+Gemini, default), FULL (3 models; GPT-5.2 Deep Research default), SINGLE (Claude only). 9 patterns: landscape_mapping, comparative_evaluation, implementation_pattern, best_practices, competitive_intelligence, market_research, user_research, economic_analysis, compliance_requirements. Outputs include consolidation manifest per consolidation-manifest-schema.md.

Generate multi-LLM research design with optimized prompts for each model. PROACTIVELY activate for: (1) research planning, (2) competitive analysis, (3) market research, (4) technology evaluation, (5) strategic research. Triggers: "research brief", "research design", "research plan", "competitive analysis", "market research", "multi-model research"

Quick entry point for structured knowledge elicitation with epistemic tracking. PROACTIVELY activate for: (1) interviews and requirements gathering, (2) problem definition, (3) domain knowledge capture, (4) stakeholder elicitation, (5) assumptions surfacing. Triggers: "research interview", "elicit knowledge", "gather requirements", "define problem", "interview stakeholder", "capture domain knowledge"

Systematic knowledge elicitation through structured interviewing with epistemic confidence tracking, MECE coverage verification, and bias-protected questioning. PROACTIVELY activate for: (1) Gather research requirements, (2) Elicit problem statements, (3) Extract domain knowledge, (4) Clarify research goals, (5) Generate requirements through discovery. Triggers: "interview me", "elicit knowledge", "extract information", "research interview", "gather requirements", "conduct interview", "knowledge extraction"

4 hooks across 3 events