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perplexity AI Agent Skill
View Source: cachemoney/agent-toolkit
MediumInstallation
npx skills add cachemoney/agent-toolkit --skill perplexity 8
Installs
Perplexity Tools
Use ONLY when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7), gt CLI (use Graphite MCP), or workspace questions (use Nx MCP).
Quick Reference
Which Perplexity tool?
- Need search results/URLs? → Perplexity Search
- Need conversational answer? → Perplexity Ask
- Need deep research? → Researcher agent (
/research <topic>)
NOT Perplexity - use these instead:
- Library/framework docs → Context7 MCP
- Graphite
gtCLI → Graphite MCP - THIS workspace → Nx MCP
- Specific URL → URL Crawler
Perplexity Search
When to use:
- Generic searches, finding resources
- Current best practices, recent information
- Tutorial/blog post discovery
- User says "search for...", "find...", "look up..."
Default parameters (ALWAYS USE):
mcp__perplexity__perplexity_search({
query: "your search query",
max_results: 3, // Default is 10 - too many!
max_tokens_per_page: 512 // Reduce per-result content
})When to increase limits:
Only if:
- User explicitly needs comprehensive results
- Initial search found nothing useful
- Complex topic needs multiple sources
// Increased limits (use sparingly)
mcp__perplexity__perplexity_search({
query: "complex topic",
max_results: 5,
max_tokens_per_page: 1024
})Perplexity Ask
When to use:
- Need conversational explanation, not search results
- Synthesize information from web
- Explain concepts with current context
Usage:
mcp__perplexity__perplexity_ask({
messages: [
{
role: "user",
content: "Explain how postgres advisory locks work"
}
]
})NOT for:
- Library documentation (use Context7)
- Deep multi-source research (use researcher agent)
Prohibited Tool
NEVER use: mcp__perplexity__perplexity_research
Use instead: Researcher agent (/research <topic>)
- Token cost: 30-50k tokens
- Provides multi-source synthesis with citations
- Use sparingly for complex questions only
Tool Selection Chain
Priority order:
- Context7 MCP - Library/framework docs
- Graphite MCP - Any
gtCLI mention - Nx MCP - THIS workspace questions
- Perplexity Search - Generic searches
- Perplexity Ask - Conversational answers
- Researcher agent - Deep multi-source research
- WebSearch - Last resort (after Perplexity exhausted)
Examples
✅ CORRECT - Use Perplexity Search:
- "Find postgres migration best practices"
- "Search for React testing tutorials"
- "Look up latest trends in microservices"
✅ CORRECT - Use Perplexity Ask:
- "Explain how postgres advisory locks work"
- "What are the trade-offs of microservices?"
❌ WRONG - Use Context7 instead:
- "Search for React hooks documentation" → Context7 MCP
- "Find Next.js routing docs" → Context7 MCP
- "Look up Temporal workflow API" → Context7 MCP
❌ WRONG - Use Graphite MCP instead:
- "Search for gt stack commands" → Graphite MCP
- "Find gt branch workflow" → Graphite MCP
❌ WRONG - Use Nx MCP instead:
- "Search for build config" (in THIS workspace) → Nx MCP
- "Find project dependencies" (in THIS workspace) → Nx MCP
Key Points
- Default to limited results - avoid context bloat
- Library docs = Context7 - ALWAYS try Context7 first
- "gt" = Graphite MCP - ANY "gt" mention uses Graphite
- Deep research = /research - NOT perplexity_research tool
- Fallback chain - Search → Ask → WebSearch (last resort)
Installs
Security Audit
View Source
cachemoney/agent-toolkit
More from this source
How to use this skill
Install perplexity by running npx skills add cachemoney/agent-toolkit --skill perplexity in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of perplexity, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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