Agent skill

Web Research Workflow

by yonatangross in yonatangross/orchestkit

Unified decision tree for web research and competitive monitoring.

MITAuto-check: notesProductivity & Automation

Install Web Research Workflow

skills CLI
$ npx skills add yonatangross/orchestkit --skill web-research-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yonatangross/orchestkit web-research-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/yonatangross/orchestkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skills/web-research-workflow .claude/skills/web-research-workflow && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
web-research-workflow
GitHub stars
290
Token cost
~988 tokens
SKILL.md length
230 words
Files
9 (incl. references)
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Unified decision tree for web research and competitive monitoring.

  • Researching web content
  • SKILL.md covers Quick Decision Tree, Tavily Enhanced Research, Browser Patterns and Competitive Monitoring, plus 2 more sections
  • Needs TAVILY_API_KEY
  • Extracting raw markdown

What it does

Web Research Workflow is an agent skill from yonatangross/orchestkit. 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.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `references/tavily-api.md`, `rules/_sections.md` and `rules/_template.md`). Compatibility notes: Claude Code 2.1.277+. Requires network access.

It sits in Productivity & Automation, covering Web search, Browser automation and Competitor analysis. It works with Tavily. The repository describes itself as: The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install ork for stable (v9.x), or ork-alpha for the v10 line, which ships daily. The licence is MIT.

When your agent uses it

  • Researching web content
  • Extracting raw markdown
  • Capturing documentation
  • Monitoring competitor changes

Example prompts

  • “/web-research-workflow”

Requirements

  • A credential in TAVILY_API_KEY
  • Compatibility (from SKILL.md): Claude Code 2.1.277+. Requires network access.
  • Pre-approved tools (allowed-tools): Bash, Read, Write, WebFetch

What it can do on your machine

Read from SKILL.md and the folder at commit 02bbf9a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • WebFetch

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • TAVILY_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code 2.1.277+. Requires network access.

    From compatibility in the SKILL.md frontmatter.

Context cost

Web Research Workflow loads about 988 tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~988
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, WebFetch

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from yonatangross/orchestkit at commit 02bbf9a, republished under its MIT licence (© yonatangross). 230 words, ~988 tokens.

Download SKILL.mdSave it as .claude/skills/web-research-workflow/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
web-research-workflow
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.
allowed-tools
Bash, Read, Write, WebFetch
compatibility
Claude Code 2.1.277+. Requires network access.
license
MIT
context
inherit
user-invocable
false
disable-model-invocation
true
effort
low
model
haiku
metadata.category
mcp-enhancement
metadata.version
1.3.0
metadata.author
OrchestKit
metadata.complexity
low

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
SeverityExamplesAction
CriticalPrice increase/decrease, major feature changeImmediate alert
HighNew feature added, feature removedReview required
MediumCopy changes, positioning shiftNote for analysis
LowTypos, minor stylingLog only

Integration with Agents

This skill is used by:

  • web-research-analyst - Primary user
  • market-intelligence - Competitor research
  • product-strategist - Deep competitive analysis
  • browser-content-capture - Detailed browser patterns
  • agent-browser - CLI reference

Version: 1.3.0 (March 2026)

© yonatangross, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (references) in src/skills/web-research-workflow of yonatangross/orchestkit.

  • SKILL.md
  • references/tavily-api.md
  • rules/_sections.md
  • rules/_template.md
  • rules/browser-patterns.md
  • rules/monitoring-change-detection.md
  • rules/monitoring-competitor.md
  • rules/tool-selection.md
  • test-cases.json

Open the folder on GitHubat commit 02bbf9a

Compare with similar skills

Web Research Workflow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Web Research Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Web Research Workflow this skillyonatangross/orchestkit290—~988Automated safety check: NotesMIT
Mysearchskernelx/MySearch-Proxy159—~3kAutomated safety check: NotesNone
Use Tinyfishtinyfish-io/tinyfish-cookbook2.2k—~2.1kAutomated safety check: PassMIT
Web Access via Browser CDPeze-is/web-access9.1k4 repos~2.2kAutomated safety check: PassMIT
Reddit JSON Fetcherykdojo/claude-code-tips10k—~1.4kAutomated safety check: PassCustom licence
Ego Browser Searchtaxueseek/argo186—~2.1kAutomated safety check: PassMIT

Similar skills

  • Mysearch

    skernelx/MySearch-Proxy

    Install, verify, debug, and use MySearch MCP/Skill. An agent skill from skernelx/MySearch-Proxy.

    159 GitHub stars~3k tokensUpdated 6 mo ago
    Productivity & AutomationAuto-check: notes
  • Use Tinyfish

    tinyfish-io/tinyfish-cookbook

    Use TinyFish for web search, fetching URLs, reading pages, current information, source-backed answers, research, docs, pricing/product pages, extraction, scraping, and browser automation.

    2.2k GitHub stars~2.1k tokensUpdated today
    Productivity & AutomationAuto-check passed
  • Routes every web task, from searching to logged-in browsing, through a tiered choice of search, fetch, curl or a real Chrome or Edge session driven over CDP.

    9.1k GitHub starsUsed in 4 repos~2.2k tokens
    Productivity & AutomationAuto-check passed
  • Reddit JSON Fetcher

    ykdojo/claude-code-tips

    Fetches Reddit posts, threads and search results as JSON through a browser session, using a DuckDuckGo redirect to get past Reddit's automated-access block.

    10k GitHub stars~1.4k tokensUpdated 14 days ago
    Productivity & AutomationAuto-check passed
  • Ego Browser Search

    taxueseek/argo

    Searches and fetches pages through a real logged-in Chromium session when ordinary API or HTML retrieval cannot get past login walls, scripts or anti-bot checks.

    186 GitHub stars~2.1k tokensUpdated 2 days ago
    Productivity & AutomationAuto-check passed
  • Mysearch

    skernelx/MySearch-Proxy

    DEFAULT search skill for OpenClaw. An agent skill from skernelx/MySearch-Proxy.

    159 GitHub stars~1.4k tokensUpdated 6 mo ago
    Productivity & AutomationAuto-check: notes

More from yonatangross/orchestkit

All 108 skills in this repo
  • API Design

    yonatangross/orchestkit

    API contract design for REST and GraphQL, covering resource shape, URL and header versioning with deprecation windows, RFC 9457 Problem Details error handling, and OpenAPI specs.

    290 GitHub stars~2.9k tokensUpdated today
    Auto-check passed
  • Architecture Decision Record

    yonatangross/orchestkit

    ADR templates in the Nygard format with context, decision, consequences, and alternatives.

    290 GitHub stars~2k tokensUpdated today
    Auto-check passed
  • Audit Full

    yonatangross/orchestkit

    Single-pass codebase analysis leveraging a 1M-token context window for comprehensive security scanning, architecture review, and dependency auditing.

    290 GitHub stars~3.5k tokensUpdated today
    Auto-check: notes
  • Code Review Playbook

    yonatangross/orchestkit

    Structured review processes, conventional comments, language-specific checklists, and feedback templates.

    290 GitHub stars~2.2k tokensUpdated today
    Auto-check passed
  • Create PR

    yonatangross/orchestkit

    Creates GitHub pull requests with pre-flight validation, conventional title formatting, and structured summary generation.

    290 GitHub stars~4.5k tokensUpdated today
    Auto-check: notes
  • Explore

    yonatangross/orchestkit

    Multi-angle codebase exploration spawning 3-5 parallel agents for code structure, data flow, architecture patterns, and health assessment.

    290 GitHub stars~3.9k tokensUpdated today
    Auto-check: notes

Works with

Questions about Web Research Workflow

What does Web Research Workflow do?

Unified decision tree for web research and competitive monitoring. Web Research Workflow is an agent skill from yonatangross/orchestkit. Unified decision tree for web research and competitive monitoring.

When should I use Web Research Workflow?

Web Research Workflow fits situations like: researching web content; extracting raw markdown; capturing documentation; monitoring competitor changes.

How do I install Web Research Workflow in Claude Code?

Run `npx skills add yonatangross/orchestkit --skill web-research-workflow -a claude-code`. Or copy the skill folder (src/skills/web-research-workflow in yonatangross/orchestkit) into .claude/skills/web-research-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Web Research Workflow in Codex?

Run `npx skills add yonatangross/orchestkit --skill web-research-workflow -a codex`. Or copy the skill folder (src/skills/web-research-workflow in yonatangross/orchestkit) into .agents/skills/web-research-workflow in your project. Codex loads it when a task matches its description.

Can I use Web Research Workflow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yonatangross/orchestkit --skill web-research-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-research-workflow, .gemini/skills/web-research-workflow, .github/skills/web-research-workflow and .opencode/skills/web-research-workflow in your project.

What does Web Research Workflow need to run?

Going by SKILL.md and its folder, Web Research Workflow needs credentials named TAVILY_API_KEY. Our summary lists: A credential in TAVILY_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Write, WebFetch. Compatibility (from SKILL.md): Claude Code 2.1.277+. Requires network access..

Does Web Research Workflow access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Web Research Workflow safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Web Research Workflow use?

Web Research Workflow is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Web Research Workflow use?

About 988 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 902 tokens, read only when the agent opens those files.

What are the alternatives to Web Research Workflow?

Skills that share tags, products or a category with Web Research Workflow: Mysearch (skernelx/MySearch-Proxy, 159 stars), Use Tinyfish (tinyfish-io/tinyfish-cookbook, 2.2k stars), Web Access via Browser CDP (eze-is/web-access, 9.1k stars) and Reddit JSON Fetcher (ykdojo/claude-code-tips, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Web Research Workflow?

yonatangross (a GitHub user) maintains it in yonatangross/orchestkit, which has 290 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.

Source: yonatangross/orchestkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.