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.
Search the web using Tavily's LLM-optimized search API. Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code.
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 evanydl/tavily-websearchInspect 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.
Search the web and get relevant results optimized for LLM consumption.
The script uses OAuth via the Tavily MCP server. No manual setup required - on first run, it will:
~/.mcp-auth/
Note: You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. Sign up at tavily.com first if you don't have an account.
If you prefer using an API key, get one at https://tavily.com and add to ~/.claude/settings.json:
{
"env": {
"TAVILY_API_KEY": "tvly-your-api-key-here"
}
}
./scripts/search.sh '<json>'
Examples:
# Basic search
./scripts/search.sh '{"query": "python async patterns"}'
# With options
./scripts/search.sh '{"query": "React hooks tutorial", "max_results": 10}'
# Advanced search with filters
./scripts/search.sh '{"query": "AI news", "time_range": "week", "max_results": 10}'
# Domain-filtered search
./scripts/search.sh '{"query": "machine learning", "include_domains": ["arxiv.org", "github.com"], "search_depth": "advanced"}'
curl --request POST \
--url https://api.tavily.com/search \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"query": "latest developments in quantum computing",
"max_results": 5
}'
curl --request POST \
--url https://api.tavily.com/search \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"query": "machine learning best practices",
"max_results": 10,
"search_depth": "advanced",
"include_domains": ["arxiv.org", "github.com"]
}'
POST htt...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Search Skill
Search the web and get relevant results optimized for LLM consumption.
## Authentication
The script uses OAuth via the Tavily MCP server. **No manual setup required** - on first run, it will:
1. Check for existing tokens in `~/.mcp-auth/`
2. If none found, automatically open your browser for OAuth authentication
> **Note:** You must have an existing Tavily account. The OAuth flow only supports login — account creation is not available through this flow. [Sign up at tavily.com](https://tavily.com) first if you don't have an account.
### Alternative: API Key
If you prefer using an API key, get one at https://tavily.com and add to `~/.claude/settings.json`:
```json
{
"env": {
"TAVILY_API_KEY": "tvly-your-api-key-here"
}
}
```
## Quick Start
### Using the Script
```bash
./scripts/search.sh '<json>'
```
**Examples:**
```bash
# Basic search
./scripts/search.sh '{"query": "python async patterns"}'
# With options
./scripts/search.sh '{"query": "React hooks tutorial", "max_results": 10}'
# Advanced search with filters
./scripts/search.sh '{"query": "AI news", "time_range": "week", "max_results": 10}'
# Domain-filtered search
./scripts/search.sh '{"query": "machine learning", "include_domains": ["arxiv.org", "github.com"], "search_depth": "advanced"}'
```
### Basic Search
```bash
curl --request POST \
--url https://api.tavily.com/search \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"query": "latest developments in quantum computing",
"max_results": 5
}'
```
### Advanced Search
```bash
curl --request POST \
--url https://api.tavily.com/search \
--header "Authorization: Bearer $TAVILY_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
"query": "machine learning best practices",
"max_results": 10,
"search_depth": "advanced",
"include_domains": ["arxiv.org", "github.com"]
}'
```
## API Reference
### Endpoint
```
POST htt...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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