When should I use Perplexity over Context7?

Use Perplexity for general web research and 'latest trends' queries. Use Context7 specifically for official library or framework documentation to get more accurate technical results.

How does this skill manage token usage and context bloat?

The skill defaults to a limit of 3 search results and reduced per-page token counts, ensuring Claude receives high-quality information without overwhelming the context window.

Can I perform deep multi-source research with this skill?

Yes, for complex topics, the skill recommends using the integrated researcher agent via the /research command for synthesized answers with citations.

Does this skill search my local project files?

No, this skill is for external web searches. For workspace-specific questions like build configurations or project dependencies, use the Nx MCP tool.

Perplexity AI Web Search

Name: Perplexity AI Web Search
Author: softaworks

bysoftaworks

•

347

Learning & Documentation

Integrates Perplexity AI to perform high-quality web searches, generic research, and conversational inquiries directly within Claude Code.

About

This skill empowers Claude Code with the ability to access real-time information through Perplexity AI. It is designed for general-purpose web searching, finding the latest industry trends, and synthesizing conversational answers from multiple online sources. By enforcing strict result limits and a specific tool selection chain, it ensures efficient context usage while providing a robust fallback for queries that fall outside of local workspace knowledge or specific library documentation.

Key Features

Real-time web search with optimized result limits to prevent context bloat
Conversational 'Ask' functionality for synthesized explanations of complex topics
Intelligent tool selection logic prioritizing documentation and workspace-specific tools
Seamless integration with researcher agents for comprehensive multi-source synthesis
347 GitHub stars
Configurable search parameters for deep-dives versus quick lookups

Use Cases

Finding the latest best practices or tutorials for modern software development patterns
Explaining general programming concepts or architectural trade-offs with current web context
Researching recent technology trends and finding non-documentation specific resources

About

Key Features

Real-time web search with optimized result limits to prevent context bloat
Conversational 'Ask' functionality for synthesized explanations of complex topics
Intelligent tool selection logic prioritizing documentation and workspace-specific tools
Seamless integration with researcher agents for comprehensive multi-source synthesis
347 GitHub stars
Configurable search parameters for deep-dives versus quick lookups

Use Cases

Finding the latest best practices or tutorials for modern software development patterns
Explaining general programming concepts or architectural trade-offs with current web context
Researching recent technology trends and finding non-documentation specific resources