web-research-workflow

name: web-research-workflow license: MIT compatibility: "Claude Code 2.1.183+. Requires network access." description: 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. context: inherit agent: web-research-analyst version: 1.3.0 author: OrchestKit AI Agent Hub tags: [research, browser, webfetch, tavily, automation, scraping, content-extraction, competitive-intelligence, monitoring] user-invocable: false disable-model-invocation: true allowed-tools: [Bash, Read, Write, WebFetch] complexity: low persuasion-type: guidance effort: low model: haiku metadata: category: mcp-enhancement

Web Research Workflow

Unified approach for web content research that automatically selects the right tool for each situation.

Quick Decision Tree

URL to research
     │
     ▼
┌─────────────────┐
│ 1. Try WebFetch │ ← Fast, free, no overhead
│    (always try) │
└─────────────────┘
     │
Content OK? ──Yes──► Parse and return
     │
     No (empty/partial/<500 chars)
     │
     ▼
┌───────────────────────┐
│ 2. TAVILY_API_KEY set?│
└───────────────────────┘
     │          │
    Yes         No ──► Skip to step 3
     │
     ▼
┌───────────────────────────┐
│ Tavily search/extract/    │ ← Raw markdown, batch URLs
│ crawl/research            │
└───────────────────────────┘
     │
Content OK? ──Yes──► Parse and return
     │
     No (JS-rendered/auth-required)
     │
     ▼
┌─────────────────────┐
│ 3. Use agent-browser │ ← Full browser, last resort
└─────────────────────┘
     │
├─ SPA (react/vue/angular) ──► wait --load networkidle
├─ Login required ──► auth flow + state save
├─ Dynamic content ──► wait --text "Expected"
└─ Multi-page ──► crawl pattern

Tavily Enhanced Research

When TAVILY_API_KEY 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 TAVILY_API_KEY is not set, the 3-tier tree collapses to 2-tier (WebFetch → agent-browser) automatically.

Load details: Read("${CLAUDE_SKILL_DIR}/rules/tool-selection.md") for when-to-use-what tables, escalation heuristics, SPA detection patterns, and cost awareness.

Load details: Read("${CLAUDE_SKILL_DIR}/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("${CLAUDE_SKILL_DIR}/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("${CLAUDE_SKILL_DIR}/rules/monitoring-competitor.md") for snapshot capture, structured data extraction, and change classification.

Load details: Read("${CLAUDE_SKILL_DIR}/rules/monitoring-change-detection.md") for diff detection, structured comparison, Tavily site discovery, and CI automation.

Change Classification

Integration with Agents

This skill is used by:

• web-research-analyst - Primary user
• market-intelligence - Competitor research
• product-strategist - Deep competitive analysis

Related Skills

• browser-content-capture - Detailed browser patterns
• agent-browser - CLI reference

Version: 1.3.0 (March 2026)