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perplexity AI Agent Skill
Quellcode ansehen: cachemoney/agent-toolkit
MediumInstallation
npx skills add cachemoney/agent-toolkit --skill perplexity 8
Installationen
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)
Installationen
Sicherheitsprüfung
Quellcode ansehen
cachemoney/agent-toolkit
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So verwenden Sie diesen Skill
Install perplexity by running npx skills add cachemoney/agent-toolkit --skill perplexity in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.
Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.
Der Skill verbessert das Verständnis Ihres Agenten für perplexity, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.
Was Sie erhalten
Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.
Kompatibilität
Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.
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