| 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:
- Check if PERPLEXITY_API_KEY is configured
- Execute searches via Perplexity API
- Synthesize findings with source citations
- 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
