internet-search

Retrieve technical information from authoritative sources via structured APIs.

10|5|Updated Dec 12, 2025
One-click install
npx skills add https://github.com/ils15/pantheon --skill internet-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: internet-search
Source: https://github.com/ils15/pantheon/tree/main/platform/windsurf/.windsurf/skills/internet-search
Command: npx skills add https://github.com/ils15/pantheon --skill internet-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured approach to web research and technical answer retrieval, streamlining the process of finding accurate and reliable information.

Core Features & Use Cases

  • Structured API Integration: Utilizes structured APIs for reliable and efficient data retrieval.
  • Source Trust Hierarchy: Prioritizes authoritative sources over community and third-party information.
  • Search Strategies by Category: Offers specific search strategies for different types of technical information.
  • Site-Scoped Search: Allows searching within specific websites for targeted information.
  • Query Construction Best Practices: Provides guidelines for constructing effective search queries.
  • Parallel Search Strategy: Recommends a methodical approach to parallelize searches across multiple sources.
  • Result Synthesis Template: Offers a structured format for synthesizing search results.
  • Source Quality Checklist: Helps ensure the reliability of the sources cited.
  • Rate Limits & Etiquette: Outlines best practices for using APIs to avoid abuse.
  • MCP Search Server Integration: Integrates with AI-augmented search servers for enhanced results.

Quick Start

Use the internet-search skill to find the latest version of a Python library by name.

Frequently Asked Questions about internet-search

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

FAQPage Schema
How do I retrieve technical information using structured APIs for web research?

To retrieve technical information using structured APIs, you utilize specific search strategies and integrate with AI-augmented search servers. This approach streamlines finding accurate data by prioritizing authoritative sources over community input.

What is the best way to validate sources when searching for technical information?

The best way to validate sources for technical information is applying a source trust hierarchy and a quality checklist. This ensures reliability by prioritizing authoritative sources and verifying cited data.

Can I perform site-scoped searches to find targeted technical documentation?

Yes, you can perform site-scoped searches to find targeted technical documentation. This allows you to query within specific websites, narrowing results to authoritative sources and improving data retrieval accuracy.

How does parallel search strategy work for retrieving technical answers?

A parallel search strategy works by methodically querying multiple sources simultaneously to retrieve technical answers. Results are then combined using a structured synthesis template to ensure comprehensive coverage.

Do I need Python libraries to use structured APIs for web research?

Yes, you need specific Python libraries to execute API calls and process the retrieved data. These libraries enable the integration with AI-augmented search servers and handle the structured data output.