research

Gather evidence-backed answers to research questions with citations and confidence levels.

1|Updated May 18, 2026
One-click install
npx skills add https://github.com/linenoize/topia --skill research-linenoize
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/linenoize/topia/tree/main/skills/research
Command: npx skills add https://github.com/linenoize/topia --skill research-linenoize

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the time-consuming work of finding trustworthy answers on the web by turning a research question into a sourced, structured summary.

Core Features & Use Cases

  • Targeted web search: Finds relevant results across multiple search queries and narrows them to the most useful sources.
  • Source triangulation: Compares official docs, community discussions, blogs, and repositories to separate consensus from uncertainty.
  • Structured reporting: Returns key findings, caveats, confidence levels, and citations so results are easy to reuse.
  • Use case: Use it to evaluate a new library, compare competing tools, verify package existence, or gather best practices before planning or implementation.

Quick Start

Ask the research skill to investigate your topic and return a concise, cited summary with any conflicts or caveats called out.

Frequently Asked Questions about research

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

FAQPage Schema
How do I gather evidence-backed answers for technology and competitor analysis research?

Source triangulation compares official documentation, community discussions, blogs, and repositories to separate consensus from uncertainty. This method extracts key facts from diverse sources to return structured findings with confidence levels and citations.

What is the best way to compare competing tools and verify library best practices?

The best way to compare competing tools and verify library best practices is running multiple targeted web search queries. This narrows results to useful sources for evaluating package existence, extracting key facts, and returning cited summaries with conflicts called out.

How do I structure web search findings with citations and confidence levels?

To structure web search findings, extract key facts from collected sources and return them as a concise summary. The output includes citations, confidence levels, and explicit caveats so the research results are easy to reuse and verify.

Does this research approach work for evaluating new libraries and verifying package existence?

Yes, evaluating new libraries and verifying package existence fits the targeted web search approach. It requires fetching diverse sources to compare background information, extract relevant facts, and return structured findings with confidence levels and citations.

What are the limitations of automated web search for source verification and knowledge lookup?

Limitations of automated web search for source verification include potential conflicts between sources and varying uncertainty levels. The process mitigates this by calling out caveats and assigning confidence levels, but requires search and fetch tools to collect diverse sources effectively.