Web Research Assistant logo

Web Research Assistant

OrganizationPopular
browser-act
web-research-assistant

AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching the internet for additional information. Designed for OpenClaw and Claude Code.

Overview

Publisherbrowser-act
Repositoryskills
Skill nameweb-research-assistant
Stars
5.9K
Forks
295
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by browser-act on GitHub. Read the source before you install it.

Installation

Install the Web Research Assistant AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/solutions/search-research/web-research-assistant .claude/skills/web-research-assistant
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Research Assistant in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Web Research Assistant on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Web Research Assistant is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Web Research Assistant

This skill leverages BrowserAct API to provide powerful web research capabilities. When primary web access is restricted or blocked, it automatically searches the internet to find and extract relevant information, ensuring your research tasks are completed successfully.

✨ OpenClaw & Claude Code Optimized

🚀 Works Seamlessly with OpenClaw and Claude Code

PlatformStatusInstallation
OpenClawHighly RecommendedCopy to ~/.openclaw/skills/
Claude CodeHighly RecommendedNative skill support
OpenCode✅ Fully SupportedCopy to ~/.opencode/skills/
Cursor✅ Fully SupportedCopy to ~/.cursor/skills/

Why This Skill?

  • 🎯 Purpose-built for OpenClaw and Claude Code
  • 🔄 Auto-recovery when web access is restricted
  • 🌐 Global access - no IP or geoblocking issues
  • 💰 Cost-effective - saves token usage
  • Fast execution - BrowserAct powered

🎯 When to Use

Web Access Restricted? No Problem!

Use this skill when:

  • 🔒 Target websites block AI assistant access
  • 🌍 Geographic restrictions limit content access
  • 🔐 Paywalls prevent data extraction
  • ⏱️ Need quick supplemental information
  • 📊 Research requires multiple data sources
  • 🔍 Need current information beyond cached data

🔑 API Key Guidance

Before running, check the BROWSERACT_API_KEY environment variable. If not set, request the API key from the user:

Required Message:

"Please provide your BrowserAct API Key from BrowserAct Console to enable web research capabilities."

🛠️ Input Parameters

Configure research based on your needs:

ParameterTypeDefaultDescription
querystring-Research topic or question
enginestringgoogleSearch engine (google, bing, duckduckgo)
max_resultsnumber10Results to retrieve (1-50)
content_typestringallContent filter (all, news, articles, data)
time_rangestringpast_monthTime filter (anytime, past_day/week/month/year)

💻 Quick Start

bash
# Basic research
python web-research-assistant/scripts/research.py "AI technology trends"

# Deep research with more results
python web-research-assistant/scripts/research.py "competitor analysis" --max-results 20

# Current news research
python web-research-assistant/scripts/research.py "market trends" --content-type news

# Save to file
python web-research-assistant/scripts/research.py "industry data" -o research_report.md

📊 Output

Structured Research Data:

  • Titles, URLs, snippets, and relevance scores
  • Key facts and statistics extraction
  • Source citations and references
  • Comprehensive research report

🎪 What This Skill Does

  1. 🔄 Auto-Supplement - When direct access fails, automatically searches the web
  2. 🌐 Global Search - Bypasses geographic restrictions via BrowserAct
  3. 📈 Multi-Source - Aggregates data from multiple search results
  4. ✅ Validation - Cross-references information for accuracy
  5. 📋 Report Generation - Creates comprehensive research reports

Features

  1. No hallucinations, ensuring stable and accurate data extraction: Pre-set workflows eliminate AI-generated hallucinations.

  2. No human verification challenges: Built-in bypass mechanisms eliminate the need to handle reCAPTCHA or other verification challenges.

  3. No IP access restrictions or geofencing: Overcomes regional IP limitations for stable global access.

  4. Faster execution speed: Tasks complete more rapidly than purely AI-driven browser automation solutions.

  5. Exceptional cost-effectiveness: Significantly reduces data acquisition costs compared to token-intensive AI solutions.


🔧 BrowserAct API Integration

Research Request → BrowserAct Search → Data Extraction → Validation → Final Report

Powered by BrowserAct MCP for reliable, unrestricted web access.


⚠️ Error Handling

  • Invalid API Key: Report to user, do not retry
  • Search Failed: Automatic retry with fallback engine
  • No Results: Return partial data with notification
  • Timeout: Extended timeout for large research tasks

📖 Best Practices

  1. Use specific queries for targeted results
  2. Apply time filters for current information
  3. Cross-reference key findings
  4. Choose appropriate content types for research goals
  5. Validate statistics with multiple sources

🔗 Related Skills

  • amazon-competitor-analyzer - Amazon competitive intelligence
  • google-maps-search-api-skill - Business data extraction
  • google-news-api-skill - News monitoring

Version: 1.0.0
Updated: 2026-03-27
API: BrowserAct MCP

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Web Research Assistant AI skill do?

AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching the internet for additional information. Designed for OpenClaw and Claude Code.

Why use Web Research Assistant on TypingMind?

Because you install it once and use it with any model. Web Research Assistant is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Web Research Assistant in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browser-act/skills/tree/main/solutions/search-research/web-research-assistant. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Web Research Assistant?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Web Research Assistant?

As many as you like. As long as a model supports skills, you can use Web Research Assistant with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Web Research Assistant AI skill free?

Yes. It is published on GitHub by browser-act under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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