nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Advanced AI-powered search skill using SearXNG as the universal search backend. Multi-engine dork generation, 90+ search engines, intelligent search strategies, intent parsing, result analysis, and adaptive query refinement. No API keys required.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install elmaslouhymouaad/search-intelligence-skillInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Use search-intelligence-skill to give any AI agent the ability to search the entire internet like an expert OSINT analyst, SEO engineer, and security researcher combined. All searches flow through your SearXNG instance — zero API keys, full privacy, 90+ engines.
The skill generates optimized dork queries, selects intelligent multi-step search strategies, translates operators across engines, routes queries to the best SearXNG engines, scores results by multi-signal relevance, and learns from results to refine searches automatically.
Install the package
# From source (recommended)
git clone https://github.com/mouaad-ops/search-intelligence-skill.git
cd search-intelligence-skill
pip install -e .
# Or direct pip
pip install search-intelligence-skill # NOT yet working
Start a SearXNG instance (if you don't have one)
# Docker (quickest)
docker run -d \
--name searxng \
-p 8888:8080 \
-e SEARXNG_SECRET=your-secret-key \
searxng/searxng:latest
# Verify it's running
curl http://localhost:8888/healthz
Enable JSON API in SearXNG settings
# In searxng/settings.yml — ensure search formats include json
search:
formats:
- html
- json
Initialize in code
from search_intelligence_skill import SearchSkill
# Default — localhost:8888
skill = SearchSkill()
# Custom instance
skill = SearchSkill(
searxng_url="http://localhost:8888",
timeout=30.0,
max_retries=2,
rate_limit=0.5,
verify_ssl=True,
auto_refine=True,
max_refine_rounds=1,
)
# Verify connection
if skill.health_check():
print("✓ SearXNG is reachable")
else:
print("✗ Cannot reach SearXNG — check URL and port")
Natural language search (the main interface)
from search_intelligence_skill import SearchSkill
skill = SearchSkill(searxng_url="http://localhost:8888")
# Just describe what you want — the skill handles everything:
#...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Advanced AI-powered search skill using SearXNG as the universal search backend.
Zero API keys. Full privacy. 90+ engines. Intelligent dork generation.
Give any AI agent the ability to search the entire internet like an expert OSINT analyst, SEO engineer, and security researcher combined.
| Feature | Description |
|---|---|
| Intent Parsing | NLP-based classification into 14 intent categories (security, OSINT, SEO, academic, code, etc.) |
| Dork Generation | 100+ dork templates with automatic entity extraction and template filling |
| 90+ Engines | Routes queries to the optimal SearXNG engines per intent |
| Multi-Step Strategies | 8 strategy types: broad-to-narrow, OSINT chain, deep dive, temporal, file hunt, etc. |
| Cross-Engine Translation | Translates operators between Google, Bing, Yandex, DuckDuckGo, Brave |
| Result Analysis | Multi-signal relevance scoring, deduplication, credibility assessment |
| Auto-Refinement | Detects poor results and automatically generates improved queries |
| LLM-Ready Output | .to_context() formats results for AI agent consumption |
pip install -e .
from search_intelligence_skill import SearchSkill
skill = SearchSkill(searxng_url="http://localhost:8888")
# Natural language → intelligent multi-engine search
report = skill.search("find exposed admin panels on example.com", depth="deep")
print(report.to_context())
# Top results as structured data
for r in report.top(5):
print(f"[{r.relevance:.1f}] {r.title} — {r.url}")
| Depth | Queries | Strategy | Use Case |
|---|---|---|---|
quick |
1-2 | Single-step | Fast lookups |
standard |
3-6 | Broad-to-narrow | General searching |
deep |
6-12 | Multi-angle / Deep dive | Research, security audits |
exhaustive |
12+ | OSINT chain / Full sweep | Complete investigations |
The skill automatically detects:...
# search-intelligence-skill
Use `search-intelligence-skill` to give any AI agent the ability to search the entire internet like an expert OSINT analyst, SEO engineer, and security researcher combined. All searches flow through your SearXNG instance — zero API keys, full privacy, 90+ engines.
The skill generates optimized dork queries, selects intelligent multi-step search strategies, translates operators across engines, routes queries to the best SearXNG engines, scores results by multi-signal relevance, and learns from results to refine searches automatically.
## Setup (once)
**Install the package**
```bash
# From source (recommended)
git clone https://github.com/mouaad-ops/search-intelligence-skill.git
cd search-intelligence-skill
pip install -e .
# Or direct pip
pip install search-intelligence-skill # NOT yet working
```
**Start a SearXNG instance (if you don't have one)**
```bash
# Docker (quickest)
docker run -d \
--name searxng \
-p 8888:8080 \
-e SEARXNG_SECRET=your-secret-key \
searxng/searxng:latest
# Verify it's running
curl http://localhost:8888/healthz
```
**Enable JSON API in SearXNG settings**
```yaml
# In searxng/settings.yml — ensure search formats include json
search:
formats:
- html
- json
```
**Initialize in code**
```python
from search_intelligence_skill import SearchSkill
# Default — localhost:8888
skill = SearchSkill()
# Custom instance
skill = SearchSkill(
searxng_url="http://localhost:8888",
timeout=30.0,
max_retries=2,
rate_limit=0.5,
verify_ssl=True,
auto_refine=True,
max_refine_rounds=1,
)
# Verify connection
if skill.health_check():
print("✓ SearXNG is reachable")
else:
print("✗ Cannot reach SearXNG — check URL and port")
```
## Common Commands
**Natural language search (the main interface)**
```python
from search_intelligence_skill import SearchSkill
skill = SearchSkill(searxng_url="http://localhost:8888")
# Just describe what you want — the skill handles everything:
#...# 🔍 search-intelligence-skill
Advanced AI-powered search skill using SearXNG as the universal search backend.
**Zero API keys. Full privacy. 90+ engines. Intelligent dork generation.**
Give any AI agent the ability to search the entire internet like an expert
OSINT analyst, SEO engineer, and security researcher combined.
## Features
| Feature | Description |
|---|---|
| **Intent Parsing** | NLP-based classification into 14 intent categories (security, OSINT, SEO, academic, code, etc.) |
| **Dork Generation** | 100+ dork templates with automatic entity extraction and template filling |
| **90+ Engines** | Routes queries to the optimal SearXNG engines per intent |
| **Multi-Step Strategies** | 8 strategy types: broad-to-narrow, OSINT chain, deep dive, temporal, file hunt, etc. |
| **Cross-Engine Translation** | Translates operators between Google, Bing, Yandex, DuckDuckGo, Brave |
| **Result Analysis** | Multi-signal relevance scoring, deduplication, credibility assessment |
| **Auto-Refinement** | Detects poor results and automatically generates improved queries |
| **LLM-Ready Output** | `.to_context()` formats results for AI agent consumption |
## Quick Start
```bash
pip install -e .
```
```python
from search_intelligence_skill import SearchSkill
skill = SearchSkill(searxng_url="http://localhost:8888")
# Natural language → intelligent multi-engine search
report = skill.search("find exposed admin panels on example.com", depth="deep")
print(report.to_context())
# Top results as structured data
for r in report.top(5):
print(f"[{r.relevance:.1f}] {r.title} — {r.url}")
```
## Search Depths
| Depth | Queries | Strategy | Use Case |
|---|---|---|---|
| `quick` | 1-2 | Single-step | Fast lookups |
| `standard` | 3-6 | Broad-to-narrow | General searching |
| `deep` | 6-12 | Multi-angle / Deep dive | Research, security audits |
| `exhaustive` | 12+ | OSINT chain / Full sweep | Complete investigations |
## Intent Categories
The skill automatically detects:...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Codex or any AI Agent from one dashboard. Move Agents between c...
AI agent skills for the Universal Registry - search, chat, and register 72,000+ agents across 14+ protocols. Works with Claude, Codex, Cursor, OpenClaw, and any AI assistant.
A cross-platform skills manager for AI IDEs. Search marketplace, download locally, and install to Claude, Cursor, Windsurf, and more with one click.