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Perplexity

OrganizationPopular
softaworks
perplexity

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.

Overview

Publishersoftaworks
Repositoryagent-toolkit
Skill nameperplexity
Stars
2.5K
Forks
226
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by softaworks on GitHub. Read the source before you install it.

Installation

Install the Perplexity AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/softaworks/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/perplexity .claude/skills/perplexity
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Perplexity in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Perplexity on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Perplexity is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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)

Frequently asked questions

What does the Perplexity AI skill do?

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.

Why use Perplexity on TypingMind?

Because you install it once and use it with any model. Perplexity is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Perplexity in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softaworks/agent-toolkit/tree/main/skills/perplexity. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Perplexity?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Perplexity?

As many as you like. As long as a model supports skills, you can use Perplexity with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Perplexity AI skill free?

Yes. It is published on GitHub by softaworks under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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