Querying Web Search Agent

Create standalone markdown query documents for web search agents.

Updated Aug 10, 2021
One-click install
npx skills add https://github.com/johnnymo87/dotfiles --skill querying-web-search-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Querying Web Search Agent
Source: https://github.com/johnnymo87/dotfiles/tree/main/.claude/skills/querying-web-search-agent
Command: npx skills add https://github.com/johnnymo87/dotfiles --skill querying-web-search-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured approach to writing effective queries for a web search agent - a separate Claude instance that has web search tools but no access to codebase or conversation context.

Core Features & Use Cases

  • Creates standalone query documents with complete context
  • Structures technical problems for web research
  • Produces markdown files ready to copy-paste to the search agent

Quick Start

Create a new file ci-optimization-[specific-problem]-query.md and write a self-contained query with title, problem summary, current configuration, symptom, what you've tried, specific questions, and explicit needs.

Frequently Asked Questions about Querying Web Search Agent

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

FAQPage Schema
How do I write effective queries for a web search agent with no access to my codebase?

Create self-contained query documents that include title, problem summary, current configuration, symptoms, what you've tried, specific questions, and additional context. This ensures the search agent has all necessary information to perform precise research without relying on your conversation history or codebase.

What should I include in a web search query to get better documentation results?

Structure your query with explicit sections: describe the problem clearly, list your current configuration and setup, detail symptoms you're experiencing, enumerate solutions already attempted, ask specific questions, and state what information or resources you need from external sources like documentation or forums.

When do I need to create standalone query documents for research?

Use standalone queries when you need expert guidance from external documentation, forums, or official sources but the search agent cannot access your codebase or prior conversation context. This applies to technical troubleshooting, configuration research, and dependency investigation.

Can I use web search queries with Claude for research I can't solve locally?

Yes. By creating structured, self-contained query documents in markdown format, you provide a separate Claude instance with web search capabilities all the context needed to research your problem independently without access to your local environment or conversation history.

What format should web search queries follow for best results?

Use markdown-ready files with standardized sections: title, problem summary, current configuration, symptoms, what you've tried, specific questions, and additional context. This tool-agnostic format ensures queries are complete and effective for external research across documentation and community sources.

How do I structure a technical problem for web-based research?

Organize your problem into discrete sections covering what you're trying to accomplish, your current setup, observed behavior, attempted solutions, and explicit questions needing answers. This structure helps web search agents identify relevant documentation and forum discussions without needing your project context.