ck:research

Synthesize technical solutions from multi-source research with citations.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/droppii/droppii-agents --skill ck-research-droppii
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:research
Source: https://github.com/droppii/droppii-agents/tree/main/cursor/skills/research
Command: npx skills add https://github.com/droppii/droppii-agents --skill ck-research-droppii

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams define, execute, and document comprehensive technical research to evaluate solutions, architectures, and requirements, reducing ambiguity and guiding design decisions.

Core Features & Use Cases

  • Structured scoping: Clearly defines research scope, terms, recency requirements, evaluation criteria, and boundaries.
  • Multi-source gathering: Systematically collects evidence from official docs, GitHub, blogs, and industry resources with proper citations.
  • Synthesis & reporting: Analyzes findings, identifies patterns and trade-offs, and produces actionable recommendations.

Quick Start

Provide a concise research plan for evaluating a new authentication framework for a web application.

Frequently Asked Questions about ck:research

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

FAQPage Schema
How do I conduct technical research for evaluating a new software architecture?

Technical research for evaluating software architecture involves defining scoping boundaries, gathering evidence from official docs and GitHub, cross-validating sources, and synthesizing actionable recommendations to guide design decisions.

What is the best way to synthesize technical solutions from multiple sources?

Synthesizing technical solutions from multiple sources requires systematically collecting data from official documentation, GitHub repositories, and authoritative blogs, then analyzing the findings to identify patterns, trade-offs, and actionable outcomes.

How do I structure an architecture review for system design decisions?

Structuring an architecture review requires defining the research scope, recency requirements, and evaluation criteria, then iteratively gathering and cross-validating evidence to produce a summarized, actionable report for system design decisions.

Can I use automated research for technology evaluation across security and hardware domains?

Automated research supports technology evaluation across software, hardware, and security domains by enforcing scope definition, systematically gathering multi-source citations, and validating findings to guide architecture decisions.

Why does technical research fail to produce actionable architecture recommendations?

Technical research fails to produce actionable architecture recommendations when it lacks clear scope boundaries, recency requirements, and cross-source validation, leading to ambiguous findings instead of structured, citation-rich synthesized reports.