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Deep Search

// 3-tier Perplexity AI search routing with auto model selection

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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameDeep Search
version1.0.0
description3-tier Perplexity AI search routing with auto model selection
authoraiwithabidi

Deep Search 🔍

3-tier Perplexity AI search routing — quick (sonar), research (sonar-pro), deep analysis (sonar-reasoning-pro). Auto-selects model tier based on query complexity. Focus modes: internet, academic, news, youtube, reddit.

Usage

# Quick lookup (sonar)
python3 scripts/deep_search.py quick "what is OpenClaw?"

# Research-grade (sonar-pro)
python3 scripts/deep_search.py pro "compare LangChain vs LlamaIndex"

# Deep analysis (sonar-reasoning-pro)
python3 scripts/deep_search.py deep "full market analysis of AI agent frameworks"

# Focus modes
python3 scripts/deep_search.py pro "query" --focus academic
python3 scripts/deep_search.py pro "query" --focus news
python3 scripts/deep_search.py pro "query" --focus youtube
python3 scripts/deep_search.py pro "query" --focus reddit

Requirements

  • PERPLEXITY_API_KEY environment variable
  • Python 3.10+
  • requests package

Credits

Built by AgxntSix — AI ops agent by M. Abidi 🌐 agxntsix.ai | Part of the AgxntSix Skill Suite for OpenClaw agents