Is SurfMind safe to use?

Yes! SurfMind is designed with security and privacy at its core. SurfMind has been thoroughly reviewed and approved by both the Chrome Web Store and Apple App Store, ensuring it meets strict security and privacy standards.

Do I need an AI API key?

Not necessary. You can either use your own API key from your chosen AI provider or subscribe to a SurfMind plan to avoid the hassle of managing API keys.

How does the AI understand my page?

When you interact with SurfMind, it analyzes the content of the current webpage and includes relevant context in your conversation with the AI. This allows the AI to provide intelligent, context-aware responses.

What browsers are supported?

SurfMind works on all major browsers including Chrome, Edge, Brave, Arc, Opera, and Safari. The extension adapts to your browser automatically.

Can I use multiple AI models?

Yes! You can easily switch between different AI models (GPT, Claude, Gemini, etc.) within the extension to find the best one for your specific task.

Web Search

제작:claude-office-skills

Formulate effective web search queries, analyze search results, and synthesize findings. Optimize search strategies for different types of information needs.

읽기 및 리서치

Web Search Skill

Overview

I help you formulate effective web search queries and strategies to find the information you need. I can optimize search queries, suggest alternative approaches, evaluate sources, and synthesize findings.

What I can do:

Formulate optimized search queries
Suggest search operators and techniques
Recommend specialized search engines
Analyze and evaluate search results
Identify reliable sources
Synthesize information from multiple sources

What I cannot do:

Execute actual web searches (need external tools)
Access real-time search results
Access paywalled content
Guarantee source accuracy

How to Use Me

Step 1: Describe Your Information Need

Tell me:

What you're trying to find
Why you need this information
What you've already tried
Any constraints (time period, source type, language)

Step 2: Get Search Strategy

I'll provide:

Optimized search queries
Alternative query formulations
Recommended search engines/tools
Search operators to use

Step 3: Evaluate Results

If you share results, I can:

Assess source reliability
Extract key information
Identify gaps
Suggest follow-up searches

Search Query Optimization

Google Search Operators

Operator	Usage	Example
`"exact phrase"`	Exact match	`"climate change policy"`
`site:`	Search within site	`site:reddit.com AI tools`
`filetype:`	Find specific files	`filetype:pdf annual report`
`-word`	Exclude term	`apple -fruit`
`OR`	Either term	`startup OR entrepreneur`
`intitle:`	Word in title	`intitle:guide python`
`inurl:`	Word in URL	`inurl:blog marketing`
`before:`	Before date	`AI before:2023-01-01`
`after:`	After date	`ChatGPT after:2024-01-01`
`*`	Wildcard	`"how to * in python"`
`related:`	Similar sites	`related:techcrunch.com`

Query Formulation Techniques

1. Start Broad, Then Narrow

code

Broad: electric vehicles
Narrow: electric vehicle battery technology 2024
More narrow: solid-state battery EV range comparison 2024

2. Use Synonyms and Variations

code

Original: AI writing tools
Variations:
- artificial intelligence writing software
- AI content generator
- machine learning writing assistant
- GPT writing tool

3. Question-Based Queries

code

How: "how to implement SSO"
What: "what is zero trust security"
Why: "why companies use kubernetes"
Best: "best practices API design"
Compare: "AWS vs Azure vs GCP comparison"

4. Source-Specific Queries

code

Academic: site:edu OR site:ac.uk [topic]
Government: site:gov [topic]
News: [topic] site:reuters.com OR site:bbc.com
Forum: [topic] site:reddit.com OR site:stackoverflow.com

Specialized Search Engines

Search Engine	Best For	URL
Google Scholar	Academic papers	scholar.google.com
Semantic Scholar	AI-powered paper search	semanticscholar.org
PubMed	Medical/biomedical	pubmed.ncbi.nlm.nih.gov
arXiv	Preprints (CS, physics)	arxiv.org
Perplexity	AI-powered research	perplexity.ai
Wolfram Alpha	Computations, data	wolframalpha.com
Statista	Statistics	statista.com
Crunchbase	Company data	crunchbase.com
Product Hunt	New products	producthunt.com
GitHub	Code/projects	github.com
Stack Overflow	Programming Q&A	stackoverflow.com

Source Evaluation Framework

CRAAP Test

Criterion	Questions to Ask
Currency	When was it published? Updated?
Relevance	Does it relate to your topic? Audience?
Authority	Who is the author? Credentials?
Accuracy	Is it supported by evidence? Verifiable?
Purpose	Why was it written? Bias?

Source Reliability Tiers

Tier	Source Type	Reliability
Tier 1	Peer-reviewed journals, official statistics	Highest
Tier 2	Quality news (Reuters, AP), industry reports	High
Tier 3	Company blogs, trade publications	Medium
Tier 4	Social media, forums, wikis	Verify required
Tier 5	Anonymous sources, content farms	Low

Output Format

markdown

# Web Search Strategy: [Topic]

**Information Need**: [What you're looking for]
**Search Date**: [Date]

---

## Recommended Search Queries

### Primary Query

[Optimized search query with operators]

code

**Rationale**: [Why this query works]

### Alternative Queries
1. `[Alternative query 1]`
   - Use when: [Scenario]
2. `[Alternative query 2]`
   - Use when: [Scenario]
3. `[Alternative query 3]`
   - Use when: [Scenario]

---

## Recommended Search Engines

| Engine | Why | Query Modification |
|--------|-----|-------------------|
| [Engine 1] | [Reason] | [Any modifications] |
| [Engine 2] | [Reason] | [Any modifications] |

---

## Search Strategy

### Step 1: [First search approach]
- Query: `[query]`
- Expected results: [What to look for]

### Step 2: [Second search approach]
- Query: `[query]`
- Expected results: [What to look for]

### Step 3: [Third search approach]
- Query: `[query]`
- Expected results: [What to look for]

---

## Expected Source Types

| Source Type | What to Look For |
|-------------|-----------------|
| [Type 1] | [Specifics] |
| [Type 2] | [Specifics] |

---

## Verification Strategy

1. [How to verify finding 1]
2. [How to verify finding 2]

---

## Potential Challenges

- [Challenge 1]: [How to address]
- [Challenge 2]: [How to address]

---

*Use multiple sources and cross-reference findings for accuracy.*

Example Use Cases

Case 1: Finding Recent Statistics

Need: Latest global EV sales figures
Strategy:

code

Query: global electric vehicle sales 2024 statistics
Operators: after:2024-01-01 (filetype:pdf OR site:statista.com)
Sources: IEA, Bloomberg NEF, industry reports

Case 2: Technical How-To

Need: How to implement OAuth 2.0
Strategy:

code

Query: "OAuth 2.0" implementation tutorial
Site-specific: site:stackoverflow.com OR site:auth0.com
Filter: Look for official docs, recent posts

Case 3: Competitive Intelligence

Need: Information about a competitor's product
Strategy:

code

Query: "[Company name]" product launch OR announcement
Sources: Press releases, news, Product Hunt
Social: site:twitter.com OR site:linkedin.com "[Company]"

Tips for Better Results

Start with the end in mind - know what type of answer you need
Use quotes for exact phrases
Combine operators for precision
Try multiple query variations
Check source dates - information expires
Cross-reference findings across sources
Use specialized engines for specific content types

Limitations

Cannot execute actual searches
Cannot access real-time results
Cannot access paywalled content
Search engines change their algorithms
Results vary by location and personalization

Built by the Claude Office Skills community. Contributions welcome!