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.
Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API.
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 aisapay/aisa-multi-source-searchInspect 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.
Intelligent search for autonomous agents. Powered by AIsa.
One API key. Multi-source retrieval. Confidence-scored answers.
Inspired by AIsa Verity - A next-generation search agent with trust-scored answers.
"Search for the latest papers on transformer architectures from 2024-2025"
"Find all web articles about AI startup funding in Q4 2025"
"Search for reviews and comparisons of RAG frameworks"
"Get the latest news about quantum computing breakthroughs"
"Smart search combining web and academic sources on 'autonomous agents'"
export AISA_API_KEY="your-key"
OpenClaw Search employs a Two-Phase Retrieval Strategy for comprehensive results:
Query 4 distinct search streams simultaneously:
Use AIsa Explain to perform meta-analysis on search results, generating:
┌─────────────────────────────────────────────────────────────┐
│ User Query │
└─────────────────────────────────────────────────────────────┘
│
┌───────────────┼───────────────┐
▼ ▼ ▼
┌─────────┐ ┌─────────┐ ┌─────────┐
│ Scholar │ │ Web │ │ Smart │
└─────────┘ └─────────┘ └─────────┘
│...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# OpenClaw Search 🔍
**Intelligent search for autonomous agents. Powered by AIsa.**
One API key. Multi-source retrieval. Confidence-scored answers.
> Inspired by [AIsa Verity](https://github.com/AIsa-team/verity) - A next-generation search agent with trust-scored answers.
## 🔥 What Can You Do?
### Research Assistant
```
"Search for the latest papers on transformer architectures from 2024-2025"
```
### Market Research
```
"Find all web articles about AI startup funding in Q4 2025"
```
### Competitive Analysis
```
"Search for reviews and comparisons of RAG frameworks"
```
### News Aggregation
```
"Get the latest news about quantum computing breakthroughs"
```
### Deep Dive Research
```
"Smart search combining web and academic sources on 'autonomous agents'"
```
## Quick Start
```bash
export AISA_API_KEY="your-key"
```
---
## 🏗️ Architecture: Multi-Stage Orchestration
OpenClaw Search employs a **Two-Phase Retrieval Strategy** for comprehensive results:
### Phase 1: Discovery (Parallel Retrieval)
Query 4 distinct search streams simultaneously:
- **Scholar**: Deep academic retrieval
- **Web**: Structured web search
- **Smart**: Intelligent mixed-mode search
- **Tavily**: External validation signal
### Phase 2: Reasoning (Meta-Analysis)
Use **AIsa Explain** to perform meta-analysis on search results, generating:
- Confidence scores (0-100)
- Source agreement analysis
- Synthesized answers
```
┌─────────────────────────────────────────────────────────────┐
│ User Query │
└─────────────────────────────────────────────────────────────┘
│
┌───────────────┼───────────────┐
▼ ▼ ▼
┌─────────┐ ┌─────────┐ ┌─────────┐
│ Scholar │ │ Web │ │ Smart │
└─────────┘ └─────────┘ └─────────┘
│...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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