ck:research

Conduct technical research and produce evidence-backed markdown reports.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/nam3886/golang-echo-boilerplate --skill ck-research-nam3886
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:research
Source: https://github.com/nam3886/golang-echo-boilerplate/tree/main/.claude/skills/research
Command: npx skills add https://github.com/nam3886/golang-echo-boilerplate --skill ck-research-nam3886

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines and standardizes technical research for engineering decisions by defining scope, gathering authoritative sources, analyzing trade-offs, and producing a concise, evidence-backed report suitable for architecture, tooling, and security evaluations.

Core Features & Use Cases

  • Scope Definition: Clearly establishes terms, recency requirements, evaluation criteria, and research boundaries before searching.
  • Multi-Source Gathering: Uses configurable Gemini CLI or WebSearch with a strict limit on tool calls, conducts parallel searches, and prioritizes official documentation and reputable sources.
  • Deep Analysis & Validation: Cross-references findings, inspects GitHub READMEs and docs, highlights consensus vs conflicts, and surfaces security/performance implications.
  • Report Generation: Produces a structured markdown report with timestamp, table of contents, code examples, diagrams where helpful, citations, and actionable recommendations.
  • Use Case: Evaluate Connect RPC vs REST for a Go backend, analyze migration paths, identify security risks, and produce a decision-ready summary for engineering leadership.

Quick Start

Research the scalability, security, and maintainability trade-offs of adopting Connect RPC versus REST for a Go API and produce a concise, timestamped markdown report with citations saved to the specified Report path.

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 software architecture and tooling evaluations?

Technical research for software architecture evaluates tooling and solution design by defining scope, gathering authoritative sources, analyzing trade-offs, and producing an evidence-backed report with citations and actionable recommendations.

What is the best way to compare technologies like Connect RPC versus REST for a Go backend?

Comparing technologies like Connect RPC versus REST for a Go backend involves analyzing scalability, security, and maintainability trade-offs, cross-referencing official documentation, and generating a decision-ready summary for engineering leadership.

Can I generate an actionable technical research report with citations and timestamps?

Yes, generating an actionable technical research report produces a structured markdown file with a table of contents, code examples, diagrams, citations, timestamps, and recommendations saved to a specified path.

Does this technical research process support migration planning and security assessments?

Yes, technical research supports migration planning and security assessments by cross-referencing findings, inspecting official documentation, highlighting consensus versus conflicts, and surfacing security and performance implications for backend systems.

What are the limitations of using automated technical research for distributed services?

Automated technical research for distributed services limits external searches to a maximum of five tool calls, relies on configurable Gemini CLI with fallbacks to WebSearch, and requires clear scope boundaries to maintain concise reporting.

Do I need the Gemini CLI to run technical research and generate reports?

No, you do not need the Gemini CLI to run technical research; the process validates optional Gemini CLI availability and provides clear fallbacks to WebSearch for gathering authoritative sources and producing reports.