perplexity-search
FeaturedPerform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
Install
Quality Score: 95/100
Skill Content
Details
- Author
- LeonChaoX
- Repository
- LeonChaoX/qinyan-academic-skills
- Created
- 5 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
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research-lookup
Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.
search-and-scrape
Use BEFORE any web search, lookup, or page fetch/scrape to pick the right tool instead of defaulting to one. Routes SEARCH across parallel-search (general default), Exa (semantic / find-similar / discovery), and Perplexity (synthesized cited answers + deep research); routes FETCH across Jina Reader (default, fast/cheap) and Firecrawl (JS-heavy / anti-bot / structured extract / crawl). Defers to linkedin-scrape and reddit-scrape for those platforms. Triggers on "search", "look up", "find out", "research", "scrape", "fetch this page", "get this article".
keel-research
Research lane router. Routes knowledge tasks — querying your own documents, real-time web search, and building a searchable second brain — to the right vendored skill (notebooklm-skill, ai-second-brain) or MCP (perplexity). Defers to keel-v2. Use for grounded research, citation-backed answers from your notes, live web lookups, or mining your own AI history.