research

Synthesize multi-source research into actionable recommendations with traceable citations.

Updated Mar 8, 2026

Search Tags:#planning #documentation #research #knowledge-management #information-gathering #source-evaluation

Ready to run

npx skills add https://github.com/darthlinuxer/dialectic-crew-ai --skill research-darthlinuxer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/darthlinuxer/dialectic-crew-ai/tree/main/src/mcp/skills/research
Command: npx skills add https://github.com/darthlinuxer/dialectic-crew-ai --skill research-darthlinuxer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesize credible information to inform product decisions and technical strategies.

Core Features & Use Cases

Multi-source research planning: Define scope, select sources, and schedule collection across docs, repositories, and benchmarks.
Structured synthesis: Produce concise, actionable findings with traceable citations and risk signals.
Plan-aligned outputs: Generate implementation-ready recommendations mapped to project plans and artifacts.

Quick Start

Initiate a research plan and generate a findings report.

Frequently Asked Questions about research

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

FAQPage Schema

How do I synthesize information from official docs and GitHub repositories for product decisions?▼

To synthesize information for product decisions, you need structured multi-source research planning. This approach defines scope, selects sources like official docs and repositories, and schedules collection to produce concise, actionable findings with traceable citations.

What is the best way to plan multi-source research across technical benchmarks?▼

The best way to plan multi-source research across technical benchmarks is to apply structured scope definition and source selection. This process schedules data collection across benchmarks and repositories, ensuring comprehensive analysis and actionable recommendations for technical strategies.

Does this research approach generate implementation-ready recommendations mapped to project plans?▼

Yes, this research approach generates implementation-ready recommendations mapped to project plans. By producing plan-aligned outputs, it transforms synthesized credible information into actionable strategies with traceable citations and clear risk signals for product decisions.

How do I evaluate sources and validate information for technical strategy research?▼

To evaluate sources and validate information for technical strategy research, apply strict source validation during multi-source gathering. This ensures documentation and repository data are credible, producing concise findings with risk signals that inform reliable technical strategies.

What's the best way to structure research findings for technical strategies?▼

The best way to structure research findings for technical strategies is through structured synthesis. This yields concise, actionable findings with traceable citations and risk signals, mapping implementation-ready recommendations directly to your project plans and artifacts.

When do I need multi-source research planning for knowledge management?▼

You need multi-source research planning for knowledge management when informing product decisions and technical strategies. It is required when gathering information across official docs, GitHub repositories, and benchmarks to ensure comprehensive analysis and source validation.