home / skills / julianobarbosa / claude-code-skills / researching-web-skill

researching-web-skill skill

safe

This skill helps you research current information and best practices by querying Perplexity AI and summarizing findings for tools and libraries.

npx playbooks add skill julianobarbosa/claude-code-skills --skill researching-web-skill

Review the files below or copy the command above to add this skill to your agents.

Files (1)

SKILL.md

850 B

---
name: researching-web
description: Search the web using Perplexity AI. Use when needing to search, look up, research, find current information, best practices, compare technologies, or answer factual questions about tools and libraries.
allowed-tools: Read, Grep, Glob, mcp__perplexity-ask__perplexity_ask
---

# Web Research with Perplexity

Use `mcp__perplexity-ask__perplexity_ask` for web search.

## When to Use

- Best practices and recommendations
- Current information (releases, news)
- Comparisons between technologies
- Factual questions about tools/libraries

## Usage

```json
{
  "messages": [{ "role": "user", "content": "Your research question" }]
}
```

## Tips

- Be specific: "Go error handling best practices 2024"
- Include context: "Redis vs Memcached for session storage"
- Ask comparisons: "Pros and cons of gRPC vs REST"

Overview

This skill lets you search the web using Perplexity AI to gather up-to-date information, best practices, and comparisons. It’s designed for fast factual lookups, technology comparisons, and tracking recent releases or news. Use it when you need concise, sourced answers from the web rather than only local or static knowledge.

How this skill works

Send a plain research question and the skill queries Perplexity AI to return synthesized, source-backed results. It focuses on current web content, summarizing findings and highlighting links or evidence for claims. You supply context and specificity; the skill prioritizes relevance and recency in returned results.

When to use it

Finding current releases, changelogs, or news about a library or tool
Researching best practices and up-to-date recommendations
Comparing technologies, frameworks, or services (pros, cons, trade-offs)
Answering factual questions about how a tool or API works
Validating claims or locating authoritative sources for decision-making

Best practices

Be specific and include the year or version when relevant (e.g., "Go error handling best practices 2024")
Provide context about your use case (scale, performance needs, constraints)
Ask direct comparison questions when choosing between options (e.g., "Redis vs Memcached for session storage")
Request pros/cons or trade-offs instead of a single recommendation to get balanced results
Include follow-up prompts to dig deeper into surprising or conflicting findings

Example use cases

Check whether a new major release introduces breaking changes before upgrading
Compare REST, gRPC, and GraphQL for a microservices architecture decision
Gather best practices for database indexing and query optimization in 2025
Confirm which authentication libraries are recommended for your language and framework
Summarize multiple vendor benchmarks and highlight methodology differences

FAQ

What input format does the skill expect?

Send a single research question as the message content; include context like versions or goals for better results.

Can it return sources or links?

Yes — results emphasize sourced information and will surface links or references when available.