perplexity-research

name	perplexity-research
description	Web research using Perplexity API. Use for researching topics, finding docs, current info, comparisons, or questions needing up-to-date web sources. Runs as forked subagent.
user_invocable	true
arg_description	Research query or topic
context	forked

Delegate web research to a specialized Perplexity subagent that searches the web, synthesizes findings, and returns a structured report with source citations. When this skill is invoked, use the Task tool to spawn a perplexity-research agent:

Task tool parameters:
- subagent_type: "perplexity-research"
- description: "Research: [brief topic]"
- prompt: The user's research query with any context needed

The subagent will:

1. Check if PERPLEXITY_API_KEY is configured
2. Execute searches via Perplexity API
3. Synthesize findings with source citations
4. Return a structured research report

After receiving the report, summarize key findings for the user.

<usage_examples> User: "/perplexity-research best practices for Python async" Action: Spawn perplexity-research agent with query about Python async best practices

User: "/perplexity-research compare FastAPI vs Flask 2024" Action: Spawn agent to research and compare the two frameworks

User: "Research the latest Claude API features" Action: Spawn agent to find current Claude API documentation and features </usage_examples>

After the subagent returns, present: 1. Brief summary of findings (2-3 sentences) 2. Key points with source links 3. Any limitations or confidence notes from the research