Agent skill · research science · yonatangross
web-research-workflow
Unified decision tree for web research and competitive monitoring. Auto-selects WebFetch, Tavily, or agent-browser based on target site characteristics and available API keys. Includes competitor page tracking, snapshot diffing, and change alerting. Use when researching web content, scraping, extracting raw markdown, capturing documentation, or monitoring competitor changes.
Why this skill is useful
Adds a structured decision-making process for web research that includes specific tool selection and competitor monitoring patterns not commonly known.
What it needs
Requires tavily, webfetch installed locally. Requires tavily account access. About 2k tokens when loaded. Last updated 2026-08-06. 215 stars on the source repository.
What this skill does
Web Research Workflow Unified approach for web content research that automatically selects the right tool for each situation. Quick Decision Tree Tavily Enhanced Research When TAVILYAPIKEY is set, Tavily provides a powerful middle tier between WebFetch and agent-browser. It returns raw markdown content, supports batch URL extraction, and offers semantic search with relevance scoring. If TAVILYAPIKEY is not set, the 3-tier tree collapses to 2-tier (WebFetch → agent-browser) automatically. Load details: Read("rules/tool-selection.md") for when-to-use-what tables, escalation heuristics, SPA detection patterns, and cost awareness. Load details: Read("references/tavily-api.md") for Search, Extract, Map, Crawl, and Research endpoint examples and options. Browser Patterns For content requiring JavaScript rendering, authentication, or multi-page crawling, fall back to agent-browser. Load details: Read("rules/browser-patterns.md") for auto-fallback, authentication flow, multi-page research patterns, best practices, and troubleshooting. Competitive Monitoring Track competitor websites for changes in pricing, features, positioning, and content. Load details: Read("rules/monitoring-competitor.md") for snapshot capture, structured data extraction, and change classification. Load details: Read("rules/monitoring-change-detection.md") for diff detection, structured comparison, Tavily site discovery, and CI automation. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills yonatangross/web-research-workflow--e56b33