# Perplexity Core Workflow A

> 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".

- Skill: `micsapp/perplexity-core-workflow-a` (Agent Skill)
- Install (CLI): `npx skillmds@latest add micsapp/perplexity-core-workflow-a`
- Raw SKILL.md: https://api.skillmd.com/api/skills/micsapp/perplexity-core-workflow-a/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Integrations & APIs
- License: MIT
- Author: micsapp (https://skillmd.com/u/micsapp)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/micsapp/perplexity-core-workflow-a

---

# Perplexity Core Workflow A

## Overview
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.

## Prerequisites
- Completed `perplexity-install-auth` setup
- Understanding of Perplexity core concepts
- Valid API credentials configured

## Instructions

### Step 1: Initialize
Authenticate 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.

```typescript
// Step 1 implementation
```

### Step 2: Execute
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.

```typescript
// Step 2 implementation
```

### Step 3: Finalize
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.

```typescript
// Step 3 implementation
```

## Output
- Completed Core Workflow A execution
- Grounded answer text with source citations from live web search
- List of supporting URLs for fact verification
- Success confirmation or error details if the query could not be fulfilled

## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| Error 1 | Cause | Solution |
| Error 2 | Cause | Solution |

## Examples

### Complete Workflow
```typescript
// Complete workflow example
```

### Common Variations
- Variation 1: Description
- Variation 2: Description

## Resources
- [Perplexity Documentation](https://docs.perplexity.com)
- [Perplexity API Reference](https://docs.perplexity.com/api)

## Next Steps
For secondary workflow, see `perplexity-core-workflow-b`.