Deep Search
Three-tier AI search routing — quick facts (sonar), research comparisons (sonar-pro), and deep analysis (sonar-reasoning-pro). Auto-selects model tier based on query complexity. Focus modes: internet, academic, news, youtube, reddit. Use for research, fact-checking, competitive analysis, or any web search task.
Best use case
Deep Search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Three-tier AI search routing — quick facts (sonar), research comparisons (sonar-pro), and deep analysis (sonar-reasoning-pro). Auto-selects model tier based on query complexity. Focus modes: internet, academic, news, youtube, reddit. Use for research, fact-checking, competitive analysis, or any web search task.
Teams using Deep Search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/deep-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Deep Search Compares
| Feature / Agent | Deep Search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Three-tier AI search routing — quick facts (sonar), research comparisons (sonar-pro), and deep analysis (sonar-reasoning-pro). Auto-selects model tier based on query complexity. Focus modes: internet, academic, news, youtube, reddit. Use for research, fact-checking, competitive analysis, or any web search task.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Deep Search 🔍
Multi-tier Perplexity-powered search with automatic Langfuse observability tracing.
## When to Use
- Quick facts and simple lookups → `quick` tier
- Standard research, comparisons, how-to → `pro` tier
- Deep analysis, market research, complex questions → `deep` tier
- Academic paper search, news monitoring, Reddit/YouTube research
## Usage
```bash
# Quick search (sonar, ~2s)
python3 {baseDir}/scripts/deep_search.py quick "what is OpenClaw"
# Pro search (sonar-pro, ~5-8s)
python3 {baseDir}/scripts/deep_search.py pro "compare Claude vs GPT-4o for coding"
# Deep research (sonar-reasoning-pro, ~10-20s)
python3 {baseDir}/scripts/deep_search.py deep "full market analysis of AI agent frameworks"
# Focus modes
python3 {baseDir}/scripts/deep_search.py pro "query" --focus academic
python3 {baseDir}/scripts/deep_search.py pro "query" --focus news
python3 {baseDir}/scripts/deep_search.py pro "query" --focus youtube
python3 {baseDir}/scripts/deep_search.py pro "query" --focus reddit
```
## Tiers
| Tier | Model | Speed | Best For |
|------|-------|-------|----------|
| quick | sonar | ~2s | Simple facts, quick lookups |
| pro | sonar-pro | ~5-8s | Research, comparisons |
| deep | sonar-reasoning-pro | ~10-20s | Deep analysis, complex questions |
## Environment
- `PERPLEXITY_API_KEY` — Required. Perplexity API key.
- `OPENROUTER_API_KEY` — Optional. For Langfuse tracing model pricing.
## Credits
Built by [M. Abidi](https://www.linkedin.com/in/mohammad-ali-abidi) | [agxntsix.ai](https://www.agxntsix.ai)
[YouTube](https://youtube.com/@aiwithabidi) | [GitHub](https://github.com/aiwithabidi)
Part of the **AgxntSix Skill Suite** for OpenClaw agents.
📅 **Need help setting up OpenClaw for your business?** [Book a free consultation](https://cal.com/agxntsix/abidi-openclaw)Related Skills
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