brave-images

Search for images using Brave Search API. Use when you need to find images, pictures, photos, or visual content on any topic. Requires BRAVE_API_KEY environment variable.

533 stars

Best use case

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

Search for images using Brave Search API. Use when you need to find images, pictures, photos, or visual content on any topic. Requires BRAVE_API_KEY environment variable.

Teams using brave-images 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/brave-images/SKILL.md --create-dirs "https://raw.githubusercontent.com/sundial-org/awesome-openclaw-skills/main/skills/brave-images/SKILL.md"

Manual Installation

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

How brave-images Compares

Feature / Agentbrave-imagesStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Search for images using Brave Search API. Use when you need to find images, pictures, photos, or visual content on any topic. Requires BRAVE_API_KEY environment variable.

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

# Brave Image Search

Search images via Brave Search API.

## Usage

```bash
curl -s "https://api.search.brave.com/res/v1/images/search?q=QUERY&count=COUNT" \
  -H "X-Subscription-Token: $BRAVE_API_KEY"
```

## Parameters

| Param | Required | Description |
|-------|----------|-------------|
| `q` | yes | Search query (URL-encoded) |
| `count` | no | Results count (1-100, default 20) |
| `country` | no | 2-letter code (US, DE, IL) for region bias |
| `search_lang` | no | Language code (en, de, he) |
| `safesearch` | no | off, moderate, strict (default: moderate) |

## Response Parsing

Key fields in each result:
- `results[].title` — Image title
- `results[].properties.url` — Full image URL
- `results[].thumbnail.src` — Thumbnail URL  
- `results[].source` — Source website
- `results[].properties.width/height` — Dimensions

## Example

Search for "sunset beach" images in Israel:
```bash
curl -s "https://api.search.brave.com/res/v1/images/search?q=sunset%20beach&count=5&country=IL" \
  -H "X-Subscription-Token: $BRAVE_API_KEY"
```

Then extract from JSON response:
- Thumbnail: `.results[0].thumbnail.src`
- Full image: `.results[0].properties.url`

## Delivering Results

When presenting image search results:
1. Send images directly to the user (don't just list URLs)
2. Use `results[].properties.url` for full images or `results[].thumbnail.src` for thumbnails
3. Include image title as caption
4. If more results exist than shown, tell the user (e.g., "Found 20 images, showing 3 — want more?")

Example flow:
```
User: "find me pictures of sunsets"
→ Search with count=10
→ Send 3-5 images with captions
→ "Found 10 sunset images, showing 5. Want to see more?"
```

## Notes

- URL-encode query strings (spaces → `%20`)
- API key from env: `$BRAVE_API_KEY`
- Respect rate limits per subscription tier

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