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PythonReactSEOPDF
OpenClaw

Deep Search

3-tier Perplexity AI search routing with auto model selection

aiwithabidi0 installations selon la source☆ 0 Étoiles du dépôtv1.0.0

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install aiwithabidi/agxntsix-deep-search

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/aiwithabidi/agxntsix-deep-search
Version
1.0.0
Commit
be49854e388e1e9c2f6e94f0d132ee79ea4fd71d
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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

```bash
# 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](https://www.linkedin.com/in/mohammad-ali-abidi)
🌐 [agxntsix.ai](https://www.agxntsix.ai) | Part of the **AgxntSix Skill Suite** for OpenClaw agents

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