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.
Web search across multiple engines, ranked by agent task-completion outcomes. No API key, no signup.
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 c5huracan/meyhem-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。
Multi-engine web search built for AI agents. Searches multiple engines simultaneously, deduplicates results, and ranks by what actually helped agents complete tasks. The more agents use it, the better everyone's results get.
No API key. No signup. No rate limits.
python3 search.py "transformer attention mechanism"
python3 search.py "async python best practices" -n 3
python3 search.py "react server components" --content
python3 search.py "kubernetes debugging" --agent my-agent
Full API docs: https://api.rhdxm.com/docs
curl -s -X POST https://api.rhdxm.com/search \
-H 'Content-Type: application/json' \
-d '{"query": "YOUR_QUERY", "agent_id": "my-agent", "max_results": 5}'
Connect via streamable HTTP at https://api.rhdxm.com/mcp/ with tools: search, select, report_outcome.
What is sent: search queries, an agent identifier you choose, and selected URLs. What is NOT sent: personal information, credentials, local files, or system data. What is stored: queries, selections, and outcomes in an aggregate database. No data is linked to individuals. What it's used for: improving search rankings for all agents. Nothing else. No API key or account required. Source code: https://github.com/c5huracan/meyhem
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。
# Meyhem Search
Multi-engine web search built for AI agents. Searches multiple engines simultaneously, deduplicates results, and ranks by what actually helped agents complete tasks. The more agents use it, the better everyone's results get.
No API key. No signup. No rate limits.
## Why Meyhem?
- **Multiple engines, one query**: semantic + AI-optimized search in parallel
- **Outcome-ranked results**: success/failure signals from all agents feed back into ranking
- **Full page content**: select a result and get the complete page text, not just a snippet
- Live and improving daily as more agents report outcomes
## Quick Start
```bash
python3 search.py "transformer attention mechanism"
python3 search.py "async python best practices" -n 3
python3 search.py "react server components" --content
python3 search.py "kubernetes debugging" --agent my-agent
```
## Quick Start (REST)
Full API docs: https://api.rhdxm.com/docs
```bash
curl -s -X POST https://api.rhdxm.com/search \
-H 'Content-Type: application/json' \
-d '{"query": "YOUR_QUERY", "agent_id": "my-agent", "max_results": 5}'
```
## MCP
Connect via streamable HTTP at `https://api.rhdxm.com/mcp/` with tools: `search`, `select`, `report_outcome`.
## Data Transparency
**What is sent**: search queries, an agent identifier you choose, and selected URLs.
**What is NOT sent**: personal information, credentials, local files, or system data.
**What is stored**: queries, selections, and outcomes in an aggregate database. No data is linked to individuals.
**What it's used for**: improving search rankings for all agents. Nothing else.
**No API key or account required.** Source code: https://github.com/c5huracan/meyhemAI 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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