create-research-brief

Coordinate 9 research patterns across three AI models to generate prompts and consolidation manifests.

2|1|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/Agentient/vibekit --skill create-research-brief
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-research-brief
Source: https://github.com/Agentient/vibekit/tree/main/plugins/research-tools/skills/create-research-brief
Command: npx skills add https://github.com/Agentient/vibekit --skill create-research-brief

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designs multi-model AI research briefs across 9 patterns for Claude Opus 4.6, Gemini 3.1 Pro Deep Research, and GPT-5.2 Deep Research. Triggers on a variety of research prompts and delivers a consolidated brief template, pattern metadata, and a structured workflow to load prompts into downstream synthesis.

Core Features & Use Cases

  • Orchestrates 9 research patterns (landscape_mapping, comparative_evaluation, implementation_pattern, best_practices, competitive_intelligence, market_research, user_research, economic_analysis, compliance_requirements) across multiple models to produce model-specific prompts, consolidation manifests, and output templates.
  • Generates pattern-specific prompt templates, a consolidation manifest per [references/consolidation-manifest-schema.md], and a guided workflow for downstream synthesis.
  • Assigns role configurations and capability fragments per pattern and mode to support repeatable, provenance-rich research design.

Quick Start

Provide a Research Objective (and optional inputs) to generate a complete research brief template ready for activation.

Frequently Asked Questions about create-research-brief

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multi-model AI research briefs across different models?

Multi-model research briefs coordinate Claude Opus 4.6, Gemini 3.1 Pro Deep Research, and GPT-5.2 Deep Research by generating model-specific prompts, consolidation manifests, and synthesis outputs across 9 distinct research patterns.

What research patterns can I use for structuring AI-driven research synthesis?

Research patterns include landscape_mapping, comparative_evaluation, implementation_pattern, best_practices, competitive_intelligence, market_research, user_research, economic_analysis, and compliance_requirements, each with specific prompt templates and role configurations.

How do I generate prompts and consolidation manifests for a research objective?

Provide a Direct Research Objective or Research Request Specification to automatically generate pattern-specific prompts, coverage matrices, pattern metadata, and a structured consolidation manifest for downstream synthesis.

Can I use research brief templates for repeatable evidence-backed research?

Yes, the system provides structured templates with provenance tracking and pattern-aware guidance, ensuring repeatable, evidence-backed research briefs that can be systematically loaded into downstream synthesis workflows.

What's the best way to consolidate outputs from multiple AI research models?

Use a consolidation manifest schema to structure and merge outputs from Claude Opus 4.6, Gemini 3.1 Pro, and GPT-5.2, applying pattern metadata and coverage matrices to guide the synthesis process.

Do I need any dependencies or external components to create research briefs?

No dependencies or external components are required; the skill operates independently, accepting research objectives and outputting prompts, pattern metadata, coverage matrices, and consolidation manifests directly.