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.
Free multi-engine web search via ddgs CLI (DuckDuckGo, Google, Bing, Brave, Yandex, Yahoo, Wikipedia) + arXiv API search. No API keys required. Use when user needs web search, research paper discovery, or when other skills need a search backend. Drop-in replacement for web-search-plus.
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 camopel/ddgs-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。
🆓 Completely free — no API keys, no subscriptions, no rate limits, no billing surprises.
🔍 8 search engines in one — Google, Bing, DuckDuckGo, Brave, Yandex, Yahoo, Wikipedia, and Mojeek. Switch engines with a single flag. Most search skills only support one.
🎓 Built-in arXiv research search — search academic papers directly via arXiv's free API. Returns authors, categories, abstracts, and publication dates. Perfect for researchers, students, and AI/ML practitioners.
🔌 Drop-in replacement — outputs web-search-plus compatible JSON, so it works with any skill or tool that expects that format. Zero config migration.
⚡ Lightweight — single pip package, no browser automation, no headless Chrome. Searches complete in 1-3 seconds.
python3 scripts/install.py
Works on macOS, Linux, and Windows. Installs the ddgs package, verifies CLI access, and runs a quick search test.
pip install ddgs
The ddgs-search wrapper outputs clean JSON to stdout with no interactive prompts or abort issues:
# Google (default)
ddgs-search "your query" 5 google
# Other engines
ddgs-search "your query" 3 duckduckgo
ddgs-search "your query" 5 brave
ddgs-search "your query" 10 yandex
# Google (default)
python3 scripts/search.py -q "your query" -m 5
# Other engines
python3 scripts/search.py -q "your query" -b duckduckgo
python3 scripts/search.py -q "your query" -b brave
python3 scripts/search.py -q "your query" -b yandex
python3 scripts/search.py -q "your query" -b yahoo
python3 scripts/search.py -q "your query" -b wikipedia
Output (web-search-plus compatible JSON):
{
"provider": "ddgs",
"results": [
{"title": "...", "url": "...", "snippet": "...", "published_date": "..."}
]
}
# Search by topic
python3...
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。
Free multi-engine web search skill for OpenClaw agents. No API keys required.
Supports: Google, Bing, DuckDuckGo, Brave, Yandex, Yahoo, Wikipedia + arXiv API for academic papers.
python3 scripts/install.py
Installs the ddgs Python package and verifies the CLI is accessible.
scripts/search.py — Web searchpython3 scripts/search.py -q "your query" -m 5
python3 scripts/search.py -q "AI news" -m 10 -b bing
python3 scripts/search.py -q "python tutorial" -m 5 -b google
Options:
| Flag | Description | Default |
|---|---|---|
-q |
Search query | (required) |
-m |
Max results | 5 |
-b |
Backend: duckduckgo, google, bing, brave, yandex, yahoo |
duckduckgo |
Output: JSON with results array of {title, url, snippet}.
scripts/arxiv_search.py — arXiv paper searchpython3 scripts/arxiv_search.py -q "transformer architecture" -m 10
python3 scripts/arxiv_search.py -q "diffusion models" -m 5 --sort-by relevance
Options:
| Flag | Description | Default |
|---|---|---|
-q |
Search query | (required) |
-m |
Max results | 10 |
--sort-by |
relevance or date |
relevance |
Output: JSON with results array including arxiv_id, title, abstract, authors, published, pdf_url.
The skill is registered with OpenClaw and provides two tools:
web_search — Search the web across multiple enginesarxiv_search — Search academic papers on arXivddgs package (installed automatically)MIT
# ddgs-search
## Why This Skill?
🆓 **Completely free** — no API keys, no subscriptions, no rate limits, no billing surprises.
🔍 **8 search engines in one** — Google, Bing, DuckDuckGo, Brave, Yandex, Yahoo, Wikipedia, and Mojeek. Switch engines with a single flag. Most search skills only support one.
🎓 **Built-in arXiv research search** — search academic papers directly via arXiv's free API. Returns authors, categories, abstracts, and publication dates. Perfect for researchers, students, and AI/ML practitioners.
🔌 **Drop-in replacement** — outputs web-search-plus compatible JSON, so it works with any skill or tool that expects that format. Zero config migration.
⚡ **Lightweight** — single pip package, no browser automation, no headless Chrome. Searches complete in 1-3 seconds.
## Install
```bash
python3 scripts/install.py
```
Works on **macOS, Linux, and Windows**. Installs the `ddgs` package, verifies CLI access, and runs a quick search test.
### Manual install
```bash
pip install ddgs
```
## Web Search
### CLI wrapper (recommended)
The `ddgs-search` wrapper outputs clean JSON to stdout with no interactive prompts or abort issues:
```bash
# Google (default)
ddgs-search "your query" 5 google
# Other engines
ddgs-search "your query" 3 duckduckgo
ddgs-search "your query" 5 brave
ddgs-search "your query" 10 yandex
```
### Python script (web-search-plus compatible JSON)
```bash
# Google (default)
python3 scripts/search.py -q "your query" -m 5
# Other engines
python3 scripts/search.py -q "your query" -b duckduckgo
python3 scripts/search.py -q "your query" -b brave
python3 scripts/search.py -q "your query" -b yandex
python3 scripts/search.py -q "your query" -b yahoo
python3 scripts/search.py -q "your query" -b wikipedia
```
Output (web-search-plus compatible JSON):
```json
{
"provider": "ddgs",
"results": [
{"title": "...", "url": "...", "snippet": "...", "published_date": "..."}
]
}
```
## arXiv Search
```bash
# Search by topic
python3...# ddgs-search
Free multi-engine web search skill for [OpenClaw](https://github.com/camopel/openclaw) agents. No API keys required.
Supports: **Google, Bing, DuckDuckGo, Brave, Yandex, Yahoo, Wikipedia** + **arXiv API** for academic papers.
## Install
```bash
python3 scripts/install.py
```
Installs the `ddgs` Python package and verifies the CLI is accessible.
## Scripts
### `scripts/search.py` — Web search
```bash
python3 scripts/search.py -q "your query" -m 5
python3 scripts/search.py -q "AI news" -m 10 -b bing
python3 scripts/search.py -q "python tutorial" -m 5 -b google
```
**Options:**
| Flag | Description | Default |
|------|-------------|---------|
| `-q` | Search query | (required) |
| `-m` | Max results | 5 |
| `-b` | Backend: `duckduckgo`, `google`, `bing`, `brave`, `yandex`, `yahoo` | `duckduckgo` |
**Output:** JSON with `results` array of `{title, url, snippet}`.
### `scripts/arxiv_search.py` — arXiv paper search
```bash
python3 scripts/arxiv_search.py -q "transformer architecture" -m 10
python3 scripts/arxiv_search.py -q "diffusion models" -m 5 --sort-by relevance
```
**Options:**
| Flag | Description | Default |
|------|-------------|---------|
| `-q` | Search query | (required) |
| `-m` | Max results | 10 |
| `--sort-by` | `relevance` or `date` | `relevance` |
**Output:** JSON with `results` array including `arxiv_id`, `title`, `abstract`, `authors`, `published`, `pdf_url`.
## Usage in OpenClaw
The skill is registered with OpenClaw and provides two tools:
- **`web_search`** — Search the web across multiple engines
- **`arxiv_search`** — Search academic papers on arXiv
## Requirements
- Python 3.8+
- `ddgs` package (installed automatically)
- macOS or Linux (Windows: partial support)
## License
MITAI 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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