web-search-techniques

Guide web research with precise query formulation and authoritative source ranking.

6|2|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/acaprino/claude-code-daodan --skill web-search-techniques
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-search-techniques
Source: https://github.com/acaprino/claude-code-daodan/tree/main/plugins/research/skills/web-search-techniques
Command: npx skills add https://github.com/acaprino/claude-code-daodan --skill web-search-techniques

SYSTEM DOCUMENTATION & REQUIREMENTS

Knowledge base for web search query techniques, source authority ranking, WebFetch/WebSearch best practices, and bot-block fallback via webfetch.py. Used by quick-searcher and deep-researcher in plugins/research/.

What problem does it solve?

Web researchers often struggle to formulate precise queries, rank sources by authority, and navigate bot-blocks during automated searches. This skill provides a structured set of guidelines to improve search quality, source credibility, and resilience against anti-bot measures.

Core Features & Use Cases

  • Query Formulation: strategies to craft effective search queries with synonyms, scope, and temporal cues.
  • Source Authority Ranking: rules to prioritise official docs, standards, RFCs, and reputable sites.
  • Bot-Block Handling: guidance on fallback techniques when automated queries encounter anti-bot blocks.
  • Use Case: when researching a new tech topic, apply these guidelines to gather high-quality sources and clean search terms.

Quick Start

Provide a topic and the skill will generate precise search queries, recommended sources, and bot-block handling guidance.

Frequently Asked Questions about web-search-techniques

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

FAQPage Schema
How do I formulate precise web search queries for technical research?

Formulate precise web search queries by applying synonyms, scope constraints, and temporal cues to narrow results. This approach guides web research by generating targeted search terms that filter out irrelevant content and isolate authoritative documentation.

What is the best way to rank source authority during automated web searches?

Source authority ranking prioritizes official documentation, standards, RFCs, and reputable sites over arbitrary web pages. This ranking mechanism enforces source credibility rules to ensure automated web research yields high-quality, verifiable technical references.

How do I handle bot-blocks when running automated webfetch queries?

Handle bot-blocks during automated webfetch queries by applying structured fallback techniques and anti-loop rules. This guidance ensures automated search workflows maintain resilience against anti-bot measures without getting stuck in repetitive failure cycles.

Does this web research guidance support both quick searches and deep research tasks?

This web research guidance supports both quick-searcher and deep-researcher tasks through distinct recommended workflows. It adapts query formulation and source authority enforcement to suit both rapid information gathering and comprehensive technical investigations.

Why does my automated websearch loop fail to return authoritative sources?

Automated websearch loops fail when they lack anti-loop rules and source credibility enforcement. Applying structured query tactics and prioritizing official docs, standards, and RFCs ensures your automated research retrieves authoritative sources instead of repeating unfiltered results.