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.
- Installs
- 221
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/yonatangross/orchestkit --skill web-research-workflow- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads web-research-workflow automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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 usermarket-intelligence- Competitor researchproduct-strategist- Deep competitive analysis
Related Skills
browser-content-capture- Detailed browser patternsagent-browser- CLI reference
Version: 1.3.0 (March 2026)
FAQ
What does the web-research-workflow skill do?
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.
How do I install web-research-workflow?
Run npx skills add https://github.com/yonatangross/orchestkit --skill web-research-workflow in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/web-research-workflow/ (personal) or .claude/skills/web-research-workflow/ (project).
Which AI agents can use web-research-workflow?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is web-research-workflow safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains web-research-workflow?
It is published by yonatangross in yonatangross/orchestkit. It has 221 recorded installs.
More from yonatangross/orchestkit
devops-deployment
yonatangross/orchestkit
Use when setting up CI/CD pipelines, containerizing applications, deploying to Kubernetes, or writing infrastructure as code. DevOps & Deployment covers GitHub Actions, Docker, Helm, and Terraform patterns.
responsive-patterns
yonatangross/orchestkit
Responsive design with Container Queries, fluid typography, cqi/cqb units, subgrid, intrinsic layouts, foldable devices, and mobile-first patterns for React applications. Use when building responsive layouts or container queries.
architecture-decision-record
yonatangross/orchestkit
ADR templates in the Nygard format with context, decision, consequences, and alternatives. Use when writing ADRs, recording an architectural decision, or evaluating options.
ui-components
yonatangross/orchestkit
UI component library patterns for shadcn/ui and Radix Primitives. Use when building accessible component libraries, customizing shadcn components, using Radix unstyled primitives, or creating design system foundations.
rag-retrieval
yonatangross/orchestkit
Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, embedding documents, implementing hybrid search, contextual retrieval, HyDE, agentic RAG, multimodal RAG, query decomposition, reranking, or pgvector search.
zustand-patterns
yonatangross/orchestkit
Reference for Zustand 5.x state management including slices, middleware, Immer, useShallow, persistence, selectors, and devtools integration. Documents 7 core patterns with TypeScript examples and anti-patterns. Use when building React state management with Zustand instead of Redux.
Popular productivity & automation skills
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
lark-doc
open.feishu.cn
飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由；/page/ 是妙搭应用，非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。
lark-base
open.feishu.cn
飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式（BaseApp/AppMode 页面与组件）、Workspace 目录、workflow、角色权限、模板中心（多维表格模板分类/列表/搜索）；遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps；文件导入/导出转 lark-drive，认证/授权转 lark-shared。
lark-drive
open.feishu.cn
飞书云空间（云盘/云存储）：管理 Drive 文件和文件夹，包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签（secure labels）和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题，或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用；doubao.com 云空间 URL/token 也按资源路径和 token 路由，不回退 WebFetch。不负责：文档内容编辑（走 lark-doc）、表格/Base 表内数据操作（走 lark-sheets/lark-base）、知识空间节点/成员管理（走 lark-wiki）、原生 Markdown 文件读写/patch/diff（走 lark-markdown）。
lark-shared
open.feishu.cn
Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.
lark-im
open.feishu.cn
飞书即时通讯：收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片（Interactive Card）、监听卡片按钮回调（card.action.trigger）。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶（添加/移除/查询置顶会话）、管理标签数据、处理卡片回调时使用。