From perplexity-pack
Execute Perplexity primary workflow: Core Workflow A. Use when implementing primary use case, building main features, or core integration tasks. Trigger with phrases like "perplexity main workflow", "primary task with perplexity".
How this skill is triggered — by the user, by Claude, or both
Slash command
/perplexity-pack:perplexity-core-workflow-aThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Primary money-path workflow for Perplexity. This is the most common use case. Perplexity is an AI-powered answer engine that grounds its responses in real-time web searches, providing cited, up-to-date answers rather than responses based solely on training data. It is particularly valuable for research tasks that require current information, such as market analysis, technology trend monitoring,...
Primary money-path workflow for Perplexity. This is the most common use case. Perplexity is an AI-powered answer engine that grounds its responses in real-time web searches, providing cited, up-to-date answers rather than responses based solely on training data. It is particularly valuable for research tasks that require current information, such as market analysis, technology trend monitoring, or fact-checking against live sources.
perplexity-install-auth setupAuthenticate with the Perplexity API and select the appropriate model — sonar for fast web-grounded answers or sonar-pro for deeper research with extended search coverage. Configure your system prompt if you want to shape the response format, language, or domain focus for your use case.
// Step 1 implementation
Submit your research query to the Perplexity chat completions endpoint. The model will retrieve relevant web sources and synthesize a grounded answer. Examine the citations field in the response to identify which sources were consulted. Verify that the cited pages actually support the claims made in the answer before presenting the information externally.
// Step 2 implementation
Extract the answer text and citations from the API response. Format the citations as hyperlinks or footnotes according to your output requirements. If the answer is being incorporated into a document or report, note the query date alongside each citation since web content can change over time.
// Step 3 implementation
| Error | Cause | Solution |
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| Error 1 | Cause | Solution |
| Error 2 | Cause | Solution |
// Complete workflow example
For secondary workflow, see perplexity-core-workflow-b.
npx claudepluginhub nickloveinvesting/nick-love-plugins --plugin perplexity-packExecutes Perplexity Sonar single-query search with citations in TypeScript using OpenAI client. Parses responses and formats markdown-linked answers for AI search tools.
Performs AI-powered web searches with real-time, source-cited answers using Perplexity models via LiteLLM and OpenRouter. Use for current information, recent scientific literature, or facts beyond model training cutoff.
Searches real-time web information using Perplexity models (Sonar Pro, Sonar Pro Search, Sonar Reasoning Pro) via LiteLLM/OpenRouter. Returns grounded answers with source citations for current events, recent scientific literature, and facts beyond model training cutoff.