research

Research technical questions across official docs and web sources with parallel investigations.

3|1|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/ncaq/konoka --skill research-ncaq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/ncaq/konoka/tree/main/plugins/research/skills/research
Command: npx skills add https://github.com/ncaq/konoka --skill research-ncaq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gather up-to-date information from official docs, GitHub, MDN, Microsoft Learn, NixOS, and other sources when local code knowledge is insufficient.

Core Features & Use Cases

  • Proactively research tech questions, compare libraries or frameworks, and evaluate APIs.
  • Break down complex questions into independent research tasks and run them in parallel.
  • Consolidate results with source URLs and highlight any conflicting information.

Quick Start

Describe the topic you want researched and prompt the agent to run parallel, source-backed investigations.

Frequently Asked Questions about research

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

FAQPage Schema
How do I gather up-to-date information from official docs and web sources for API usage?

To gather up-to-date information from official docs and web sources, you need an agent that fetches data from GitHub, MDN, Microsoft Learn, and NixOS to answer API usage questions when local code knowledge is insufficient.

What is the best way to compare libraries or frameworks using web sources?

The best way to compare libraries or frameworks is to run parallel investigations across official docs and web sources, consolidating the results with source URLs and highlighting any conflicting findings.

How do I investigate ecosystem trends and best practices across multiple sources?

You investigate ecosystem trends and best practices by breaking down complex questions into independent research tasks, running parallel surveys across multiple sources, and reporting back with integrated results.

Does this research approach work for evaluating APIs and consolidating conflicting information?

Yes, evaluating APIs works by running investigations in an isolated context with parallel surveys, reporting back with integrated results and source URLs while explicitly noting any conflicting findings.

When do I need to run parallel investigations from docs instead of relying on local code knowledge?

You need to run parallel investigations from docs when local code knowledge is insufficient to answer questions regarding library comparisons, API usage, best practices, and ecosystem trends.