answers

Fetch live web answers with citations and structured JSON output.

Updated Feb 19, 2026
One-click install
npx skills add https://github.com/olostep/olostep-cursor-plugin --skill answers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: answers
Source: https://github.com/olostep/olostep-cursor-plugin/tree/main/skills/answers
Command: npx skills add https://github.com/olostep/olostep-cursor-plugin --skill answers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides AI-synthesized answers to user questions using up-to-date information from the live web, complete with citations and optional structured JSON output.

Core Features & Use Cases

  • Live Web Answers: Get current facts, comparisons, and structured data without manual searching.
  • Structured Data Extraction: Define a JSON schema to receive web data in a code-ready format.
  • Use Case: A developer needs to compare the pricing and features of three cloud hosting providers. This Skill can fetch the latest information and return it as a JSON array, ready to be used in a comparison table.

Quick Start

Use the answers skill to get the current market share of React and Vue.js, returning the data as JSON.

Frequently Asked Questions about answers

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

FAQPage Schema
How do I extract live web data and get AI answers with citations?

To extract live web data and get AI answers with citations, you query live web sources to synthesize current facts and structured data complete with source attributions.

Can I define a JSON schema for structured data extraction from web sources?

Yes, you can define an optional JSON schema to receive extracted web data in a code-ready format. This allows you to obtain structured JSON output tailored for direct use in code or documentation.

What is the best way to compare pricing and features of cloud hosting providers programmatically?

The best way to compare pricing and features programmatically is by fetching current market data from live web sources and returning it as a structured JSON array, ready for direct use in a comparison table.

Does this web scraping approach work for obtaining competitive intelligence and current market share?

Yes, this approach works for obtaining competitive intelligence and current market share by fetching up-to-date facts from live web sources and synthesizing them into cited answers.

Why use AI-synthesized answers instead of manual web scraping for research?

AI-synthesized answers eliminate manual searching by automatically extracting current facts and structured data from the live web, returning code-ready JSON output with citations for immediate use.

Are there limitations when fetching up-to-date facts from live web sources?

Limitations when fetching up-to-date facts from live web sources include reliance on the availability and structure of the live web pages, which may affect the consistency of the extracted JSON output and citations.