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.