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.
ソース情報
- リポジトリ
- yonatangross/orchestkit
- ソースの最終更新活動
- 2026年9月29日 15:03
- 検出された SKILL.md の言語
- 英語
- スター
- 289
- フォーク
- 35
インストール方法
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ファイルエクスプローラー
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- web-research-workflow
- license
- MIT
- compatibility
- Claude Code 2.1.277+. 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
- user-invocable
- false
- disable-model-invocation
- true
- allowed-tools
- Bash Read Write WebFetch
- effort
- low
- model
- haiku
- metadata
- {"category":"mcp-enhancement","version":"1.3.0","author":"OrchestKit","complexity":"low","tags":"research, browser, webfetch, tavily, automation, scraping, content-extraction, competitive-intelligence, monitoring"}
# 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("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.
### Change Classification
| Severity | Examples | Action |
|----------|----------|--------|
| Critical | Price increase/decrease, major feature change | Immediate alert |
| High | New feature added, feature removed | Review required |
| Medium | Copy changes, positioning shift | Note for analysis |
| Low | Typos, minor styling | Log only |
## 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)
GitHubで見る