andi

Fast, high-quality web search with intelligent ranking and instant answers

9 stars

Best use case

andi is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Fast, high-quality web search with intelligent ranking and instant answers

Teams using andi should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/orthogonal-andi/SKILL.md --create-dirs "https://raw.githubusercontent.com/orthogonal-sh/skills/main/skills/orthogonal-andi/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/orthogonal-andi/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How andi Compares

Feature / AgentandiStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Fast, high-quality web search with intelligent ranking and instant answers

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Andi Search - Intelligent Web Search

Fast, high-quality search with intelligent ranking, instant answers, and research-grade results.

## Capabilities

- **Search**: Fast, high-quality search API with intelligent ranking, instant answers, and result enrichment

## Usage

### Search
Fast, high-quality search API with intelligent ranking, instant answers, and result enrichment.

Parameters:
- q* (string) - Search query (or array of up to 5 queries)
- limit (string) - Number of results (1-100)
- depth (string) - Search depth: fast or deep
- intent (string) - Search intent. Supported Intents: ImageSearchIntent - Prioritize image results, VideoSearchIntent - Prioritize video results, NewsSearchIntent - Prioritize news articles, WeatherSearchIntent - Weather information, ComputationIntent - Mathematical calculations and computations, NavigationalSearchIntent - Direct navigation to websites, Not detected or specified: FallbackSearchIntent - General web search (default)
- metadata (string) - Metadata level: basic or full
- format (string) - Response format: json
- extracts (string) - Enable content extracts/highlights
- safe (string) - Enable safe search filtering
- country (string) - Country code (US, GB, etc.)
- language (string) - Language code (en, es, fr, etc.)
- units (string) - Units: metric or imperial
- noCache  (string) - Force skip all caches
- dateRange (string) - Date range filter. Restrict results to specific time periods using relative or absolute date filters: Relative date range (dateRange parameter): day or 24h - Last 24 hours; week or 7d - Last 7 days; month or 30d - Last 30 days; year or 1y - Last year; 90d - Last 90 days
- includeDomains (string) - Comma-separated domains to include
- excludeDomains (string) - Comma-separated domains to exclude
- includeTerms (string) - Comma-separated terms/phrases to boost
- excludeTerms (string) - Comma-separated terms/phrases to exclude
- parseOperators (string) - Extract operators from query string

```bash
orth api run andi /v1/search --query 'q=how%20does%20RAG%20work'
```

## Use Cases

1. **Research**: Find high-quality sources on any topic
2. **Fact-Finding**: Get accurate answers with sources
3. **Technical Lookup**: Find documentation and guides
4. **News Monitoring**: Track current events
5. **Competitive Intelligence**: Research companies and products

## Discover More

For full endpoint details and parameters:

```bash
orth api show andi              # List all endpoints
orth api show andi /v1/search   # Get endpoint details
```

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