About

This skill enables AI-powered web search and research through Perplexity, offering both direct search results and synthesized answers with citations. It supports various modes including chain-of-thought reasoning for complex queries and deep comprehensive research. Developers can use it for everything from quick factual questions to expert-level analysis with different specialized models.

Quick Install

Claude Code

Recommended

Primary

npx skills add parcadei/Continuous-Claude-v3

Plugin CommandAlternative

/plugin add https://github.com/parcadei/Continuous-Claude-v3

Git CloneAlternative

git clone https://github.com/parcadei/Continuous-Claude-v3.git ~/.claude/skills/perplexity-search

Copy and paste this command in Claude Code to install this skill

Documentation

Perplexity AI Search

Web search with AI-powered answers, deep research, and chain-of-thought reasoning.

When to Use

Direct web search for ranked results (no AI synthesis)
AI-synthesized research with citations
Chain-of-thought reasoning for complex decisions
Deep comprehensive research on topics

Models (2025)

Model	Purpose
`sonar`	Lightweight search with grounding
`sonar-pro`	Advanced search for complex queries
`sonar-reasoning-pro`	Chain of thought reasoning
`sonar-deep-research`	Expert-level exhaustive research

Usage

Quick question (AI answer)

uv run python scripts/mcp/perplexity_search.py \
    --ask "What is the latest version of Python?"

Direct web search (ranked results, no AI)

uv run python scripts/mcp/perplexity_search.py \
    --search "SQLite graph database patterns" \
    --max-results 5 \
    --recency week

AI-synthesized research

uv run python scripts/mcp/perplexity_search.py \
    --research "compare FastAPI vs Django for microservices"

Chain-of-thought reasoning

uv run python scripts/mcp/perplexity_search.py \
    --reason "should I use Neo4j or SQLite for small graph under 10k nodes?"

Deep comprehensive research

uv run python scripts/mcp/perplexity_search.py \
    --deep "state of AI agent observability 2025"

Parameters

Parameter	Description
`--ask`	Quick question with AI answer (sonar)
`--search`	Direct web search - ranked results without AI synthesis
`--research`	AI-synthesized research (sonar-pro)
`--reason`	Chain-of-thought reasoning (sonar-reasoning-pro)
`--deep`	Deep comprehensive research (sonar-deep-research)

Search-specific options

Parameter	Description
`--max-results N`	Number of results (1-20, default: 10)
`--recency`	Filter: `day`, `week`, `month`, `year`
`--domains`	Limit to specific domains

Mode Selection Guide

Need	Use	Why
Quick fact	`--ask`	Fast, lightweight
Find sources	`--search`	Raw results, no AI overhead
Synthesized answer	`--research`	AI combines multiple sources
Complex decision	`--reason`	Chain-of-thought analysis
Comprehensive report	`--deep`	Exhaustive multi-source research

Examples

# Find recent sources on a topic
uv run python scripts/mcp/perplexity_search.py \
    --search "OpenTelemetry AI agent tracing" \
    --recency month --max-results 5

# Get AI synthesis
uv run python scripts/mcp/perplexity_search.py \
    --research "best practices for AI agent logging 2025"

# Make a decision
uv run python scripts/mcp/perplexity_search.py \
    --reason "microservices vs monolith for startup MVP"

# Deep dive
uv run python scripts/mcp/perplexity_search.py \
    --deep "comprehensive guide to building feedback loops for autonomous agents"

API Key Required

Requires PERPLEXITY_API_KEY in environment or ~/.claude/.env.

GitHub Repository

parcadei/Continuous-Claude-v3

Path: .claude/skills/perplexity-search

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