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.
DDGS Web Search Skill This skill implements web search functionality via the DDGS Dux Distributed Global Search engine, aggregating results from diverse search services to fetch real time information.
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 idkwhodatis/ddgs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。
This skill implements web search functionality via the DDGS (Dux Distributed Global Search) engine, aggregating results from diverse search services to fetch real-time information.
🔍 Privacy-friendly metasearch
📰 News search support
🖼️ Image search support
📹 Video search support
📚 Books search support
🌐 Free to use, no API Key required
🔒 Privacy protection, no user tracking
⚡ MCP (Model Context Protocol) and API server support
# Install via uv (Recommended)
uv pip install ddgs
# Or install via pip
pip install ddgs
The most commonly used search method, returning webpage results:
python -c "
from ddgs import DDGS
query = 'your search query'
results = DDGS().text(
query,
region='wt-wt', # Region: cn-zh (China), us-en (US), wt-wt (Global)
safesearch='moderate', # Safe search: on, moderate, off
timelimit='m', # Time range: d (day), w (week), m (month), y (year), None (unlimited)
max_results=10, # Maximum number of results
backend='auto' # Backends: auto, duckduckgo, brave, bing, etc.
)
for i, r in enumerate(results, 1):
print(f\"{i}. {r.get('title')}\")
print(f\" URL: {r.get('href')}\")
print(f\" Snippet: {str(r.get('body'))[:100]}...\n\")
"
Search for the latest news:
python -c "
from ddgs import DDGS
results = DDGS().news(
'AI technology',
region='wt-wt',
safesearch='moderate',
timelimit='d', # d=past 24 hours, w=past week, m=past month
max_results=10
)
for r in results:
print(f\"📰 {r.get('title')}\")
print(f\" Source: {r.get('source')}\")
print(f\" Date: {r.get('date')}\")
print(f\" Link: {r.get('url')}\n\")
"
Search for image resources:
python -c "
from ddgs import DDGS...
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。
# DDGS Web Search Skill
This skill implements web search functionality via the DDGS (Dux Distributed Global Search) engine, aggregating results from diverse search services to fetch real-time information.
## Features
🔍 Privacy-friendly metasearch
📰 News search support
🖼️ Image search support
📹 Video search support
📚 Books search support
🌐 Free to use, no API Key required
🔒 Privacy protection, no user tracking
⚡ MCP (Model Context Protocol) and API server support
## Installation
```bash
# Install via uv (Recommended)
uv pip install ddgs
# Or install via pip
pip install ddgs
```
## Quick Start
### 1. Text Search
The most commonly used search method, returning webpage results:
```python
python -c "
from ddgs import DDGS
query = 'your search query'
results = DDGS().text(
query,
region='wt-wt', # Region: cn-zh (China), us-en (US), wt-wt (Global)
safesearch='moderate', # Safe search: on, moderate, off
timelimit='m', # Time range: d (day), w (week), m (month), y (year), None (unlimited)
max_results=10, # Maximum number of results
backend='auto' # Backends: auto, duckduckgo, brave, bing, etc.
)
for i, r in enumerate(results, 1):
print(f\"{i}. {r.get('title')}\")
print(f\" URL: {r.get('href')}\")
print(f\" Snippet: {str(r.get('body'))[:100]}...\n\")
"
```
### 2. News Search
Search for the latest news:
```python
python -c "
from ddgs import DDGS
results = DDGS().news(
'AI technology',
region='wt-wt',
safesearch='moderate',
timelimit='d', # d=past 24 hours, w=past week, m=past month
max_results=10
)
for r in results:
print(f\"📰 {r.get('title')}\")
print(f\" Source: {r.get('source')}\")
print(f\" Date: {r.get('date')}\")
print(f\" Link: {r.get('url')}\n\")
"
```
### 3. Image Search
Search for image resources:
```python
python -c "
from ddgs import DDGS...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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