home / skills / softaworks / agent-toolkit / perplexity

perplexity skill

/skills/perplexity

This skill helps you perform generic web searches and synthesize findings using Perplexity, delivering concise results and useful resources.

npx playbooks add skill softaworks/agent-toolkit --skill perplexity

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

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---
name: perplexity
description: Web search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7) or workspace questions.
---

# 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 `gt` CLI → **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):**
```typescript
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

```typescript
// 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:**
```typescript
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:**
1. **Context7 MCP** - Library/framework docs
2. **Graphite MCP** - Any `gt` CLI mention
3. **Nx MCP** - THIS workspace questions
4. **Perplexity Search** - Generic searches
5. **Perplexity Ask** - Conversational answers
6. **Researcher agent** - Deep multi-source research
7. **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)

Overview

This skill integrates Perplexity AI for web search and conversational research to quickly find up-to-date resources and synthesize web information. It routes queries to the appropriate Perplexity tool (Search or Ask) and enforces safe defaults to keep results focused and concise. Use it only for generic web queries and recent information, not for library docs, workspace internals, or CLI specifics.

How this skill works

The skill inspects the user's phrasing for search triggers like "search", "find", "look up", "ask", "research", or "what's the latest" and chooses the right Perplexity endpoint. For result lists and URLs it runs Perplexity Search with conservative limits (few results, truncated per-result content). For conversational explanations it uses Perplexity Ask to synthesize and explain findings. A prioritized tool chain ensures other specialized MCPs are selected when relevant (library docs, CLI, workspace).

When to use it

  • When you want recent articles, tutorials, blog posts, or best-practice guides
  • When you ask generic web queries like "search for X" or "find tutorials on Y"
  • When you need a concise set of source URLs to explore further
  • When you want a conversational synthesis of web information (use Ask)
  • When the question is not about in-repo code, framework docs, or specific CLI workflows

Best practices

  • Prefer short, focused queries; the skill defaults to limited results to avoid information overload
  • If you need comprehensive coverage, explicitly ask to increase result or token limits
  • Never use this skill for library/framework documentation — use the dedicated docs MCP instead
  • Avoid workspace-specific or CLI-specific queries; route those to workspace/Graphite MCPs
  • When deep multi-source research is required, request the Researcher agent instead of Perplexity Research

Example use cases

  • Search for the latest React performance optimization articles
  • Find tutorials and code samples for setting up PostgreSQL streaming replication
  • Look up current best practices for microservices observability
  • Ask for a plain-language explanation of advisory locks with recent references
  • Find blog posts comparing two competing libraries or services

FAQ

What triggers use of this skill?

Phrases like "search", "find", "look up", "ask", "research", or "what's the latest" trigger this skill for generic web queries.

How many results are returned by default?

Defaults are conservative: a small number of results and reduced per-result content to keep summaries concise; increase limits only when needed.