images-search

brave/brave-search-skills · updated Apr 8, 2026

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$npx skills add https://github.com/brave/brave-search-skills --skill images-search
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summary

Requires API Key: Get one at https://api.search.brave.com

skill.md

Images Search

Requires API Key: Get one at https://api.search.brave.com

Plan: Included in the Search plan. See https://api-dashboard.search.brave.com/app/subscriptions/subscribe

Quick Start (cURL)

Basic Search

curl -s "https://api.search.brave.com/res/v1/images/search?q=mountain+landscape" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}"

With Parameters

curl -s "https://api.search.brave.com/res/v1/images/search" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
  -G \
  --data-urlencode "q=northern lights photography" \
  --data-urlencode "country=US" \
  --data-urlencode "search_lang=en" \
  --data-urlencode "count=20" \
  --data-urlencode "safesearch=strict"

Endpoint

GET https://api.search.brave.com/res/v1/images/search

Authentication: X-Subscription-Token: <API_KEY> header

Parameters

Parameter Type Required Default Description
q string Yes - Search query (1-400 chars, max 50 words)
country string No US Search country (2-letter country code or ALL)
search_lang string No en 2+ char language code
count int No 50 Results to return (1-200)
safesearch string No strict off or strict (no moderate for images)
spellcheck bool No true Auto-correct query; corrected query in query.altered

Response Format

{
  "type": "images",
  "query": {
    "original": "mountain landscape",
    "altered": null,
    "spellcheck_off": false,
    "show_strict_warning": false
  },
  "results": [
    {
      "type": "image_result",
      "title": "Beautiful Mountain Landscape",
      "url": "https://example.com/mountain-photo",
      "source": "example.com",
      "page_fetched": "2025-09-15T10:30:00Z",
      "thumbnail": {
        "src": "https://imgs.search.brave.com/...",
        "width": 200,
        "height": 150
      },
      "properties": {
        "url": "https://example.com/images/mountain.jpg",
        "placeholder": "https://imgs.search.brave.com/placeholder/...",
        "width": 1920,
        "height": 1080
      },
      "meta_url": {
        "scheme": "https",
        "netloc": "example.com",
        "hostname": "example.com",
        "favicon": "https://imgs.search.brave.com/favicon/...",
        "path": "/mountain-photo"
      },
      "confidence": "high"
    }
  ],
  "extra": {
    "might_be_offensive": false
  }
}

Response Fields

Field Type Description
type string Always "images"
query.original string Original query
query.altered string? Spellchecked query (null if no correction)
query.spellcheck_off bool? Whether spellcheck was disabled
query.show_strict_warning bool? True if strict safesearch hid relevant results
results[] array List of image results
results[].type string Always "image_result"
results[].title string? Image title
results[].url string? Page URL where image was found
results[].source string? Source domain
results[].page_fetched string? ISO datetime of last page crawl
results[].thumbnail.src string? Brave-proxied thumbnail URL (~500px width)
results[].thumbnail.width int? Thumbnail width
results[].thumbnail.height int? Thumbnail height
results[].properties.url string? Original full-size image URL
results[].properties.placeholder string? Low-res placeholder URL (Brave-proxied)
results[].properties.width int? Original image width (may be null)
results[].properties.height int? Original image height (may be null)
results[].meta_url.scheme string? URL protocol scheme
results[].meta_url.netloc string? Network location
results[].meta_url.hostname string? Lowercased domain
results[].meta_url.favicon string? Favicon URL
results[].meta_url.path string? URL path
results[].confidence string? Relevance: low, medium, or high
extra.might_be_offensive bool Whether results may contain offensive content

Use Cases

  • Visual content discovery: Build image galleries, mood boards, or visual research tools. Use count=200 for comprehensive coverage. Prefer over web-search when you need image-specific metadata (dimensions, thumbnails).
  • Content enrichment: Add relevant images to articles or generated content. Use country and search_lang to target your audience's locale.
  • Safe image retrieval: Default safesearch=strict ensures family-friendly results out of the box. Only two modes (off/strict) — no moderate option, unlike web/video/news search.
  • High-volume batch retrieval: Up to 200 images per request (vs 20 for web, 50 for videos/news). Ideal for bulk image sourcing or visual analysis pipelines.

Notes

  • SafeSearch: Defaults to strict for images (stricter than web search)
  • High volume: Can return up to 200 results per request
  • Thumbnails: Brave-proxied for user privacy (500px width). Use properties.url for original full-resolution image.
  • Dimensions: properties.width/height may be missing for some images
  • Placeholder: properties.placeholder is a low-res URL (not inline base64) useful for progressive loading UX
how to use images-search

How to use images-search on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add images-search
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/brave/brave-search-skills --skill images-search

The skills CLI fetches images-search from GitHub repository brave/brave-search-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/images-search

Reload or restart Cursor to activate images-search. Access the skill through slash commands (e.g., /images-search) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.849 reviews
  • Isabella Chen· Dec 28, 2024

    images-search reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Isabella Gill· Dec 16, 2024

    I recommend images-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Emma Thompson· Dec 16, 2024

    images-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Isabella Flores· Dec 12, 2024

    Useful defaults in images-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Lucas Park· Nov 27, 2024

    images-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Isabella Thompson· Nov 19, 2024

    Registry listing for images-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • James Abbas· Nov 7, 2024

    images-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aanya Huang· Nov 7, 2024

    Solid pick for teams standardizing on skills: images-search is focused, and the summary matches what you get after install.

  • James Li· Oct 26, 2024

    Registry listing for images-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • James Wang· Oct 26, 2024

    We added images-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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