Awesome-omni-skill perplexity-search

AI-powered web search, research, and reasoning via Perplexity

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/perplexity-search-tfunk1030" ~/.claude/skills/diegosouzapw-awesome-omni-skill-perplexity-search-e57d34 && rm -rf "$T"

manifest: skills/development/perplexity-search-tfunk1030/SKILL.md

source content

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/perplexity_search.py \
    --ask "What is the latest version of Python?"

Direct web search (ranked results, no AI)

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

AI-synthesized research

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

Chain-of-thought reasoning

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

Deep comprehensive research

uv run python scripts/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/perplexity_search.py \
    --search "OpenTelemetry AI agent tracing" \
    --recency month --max-results 5

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

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

# Deep dive
uv run python scripts/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