Requires API Key: Get one at https://api.search.brave.com
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionimages-searchExecute the skills CLI command in your project's root directory to begin installation:
Fetches images-search from brave/brave-search-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate images-search. Access via /images-search in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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
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}"
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"
GET https://api.search.brave.com/res/v1/images/search
Authentication: X-Subscription-Token: <API_KEY> header
| 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 |
{
"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
}
}
| 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 |
count=200 for comprehensive coverage. Prefer over web-search when you need image-specific metadata (dimensions, thumbnails).country and search_lang to target your audience's locale.safesearch=strict ensures family-friendly results out of the box. Only two modes (off/strict) — no moderate option, unlike web/video/news search.strict for images (stricter than web search)properties.url for original full-resolution image.properties.width/height may be missing for some imagesproperties.placeholder is a low-res URL (not inline base64) useful for progressive loading UXMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
images-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend images-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
images-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in images-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
images-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for images-search matched our evaluation — installs cleanly and behaves as described in the markdown.
images-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: images-search is focused, and the summary matches what you get after install.
Registry listing for images-search matched our evaluation — installs cleanly and behaves as described in the markdown.
We added images-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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