ck:research

Produce evidence-backed technical research reports with cited sources.

Updated Apr 9, 2026

Search Tags:#best practices #security analysis #citations #requirements gathering #technical research #evidence synthesis #architecture evaluation

Ready to run

npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-research-jangtrinh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ck:research
Source: https://github.com/jangtrinh/demo-Lam/tree/main/.claude/skills/research
Command: npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-research-jangtrinh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ck:docs-seeker.

What problem does it solve?

ck:research helps you reduce uncertainty by systematically gathering and validating technical information so you can choose architectures and solutions with confidence instead of relying on guesses.

Core Features & Use Cases

Scoped, criteria-driven research: defines key terms, source recency requirements, and evaluation boundaries before searching.
Multi-source evidence collection with limits: uses Gemini (when enabled) or WebSearch, prioritizes official docs and authoritative sources, and enforces a strict maximum number of research tool calls.
Synthesis into an actionable report: produces a structured markdown report covering findings, trends, best practices, security, performance, recommendations, resources, and next steps.
Integration-friendly workflow: when relevant GitHub repos are found, it can use ck:docs-seeker to extract deeper documentation details.

Quick Start

Run ck:research with a clear technical topic like "research the latest security best practices for OAuth2 token storage and rotation" and save the generated Research Report to the path provided by the skill’s naming instructions.

Frequently Asked Questions about ck:research

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

FAQPage Schema

How do I gather evidence-backed technical research for architecture evaluation?▼

Architecture evaluation requires scoping key terms, collecting authoritative sources, and synthesizing findings into actionable guidance. This approach systematically validates technical information to reduce uncertainty and evaluate scalability, security, and maintainability across web and systems design.

What's the best way to research security best practices for web APIs?▼

Researching security best practices involves defining source recency requirements and evaluation boundaries before searching. By prioritizing official documentation and enforcing cross-reference validation, you can ensure the evidence synthesis meets strict functional requirements for your APIs.

How does technical research handle source prioritization and tool call limits?▼

Source prioritization and tool call limits are handled by enforcing a strict maximum number of research tool calls. The process prioritizes official docs and authoritative sources, optionally using Gemini when enabled via configuration, to collect multi-source evidence efficiently.

Can I extract deeper documentation details from GitHub repositories during requirements gathering?▼

You can extract deeper documentation details from relevant GitHub repositories by using integration-friendly workflows. When repositories are found during requirements gathering, the research process can call documentation extraction tools to pull more specific technical information.

What is included in a structured technical research report for technology evaluation?▼

A structured technical research report includes findings, trends, best practices, security, performance, recommendations, resources, and next steps. It synthesizes collected evidence into a structured markdown format to provide actionable guidance for technology evaluation tasks.