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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install aisapay/aisa-multi-source-search打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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 │
└─────────┘ └─────────┘ └─────────┘
│...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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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