Web search with ranked results, snippets, and support for freshness filters, SafeSearch, and custom ranking via Goggles.
Works with
Returns structured results across multiple types: web pages, news, videos, discussions, FAQ, infobox, and locations in a single response
Supports freshness filtering (past day/week/month/year or custom date ranges), SafeSearch levels, and location-aware results via headers
Goggles enable custom result ranking: boost trusted sources, suppress spam, or build focused
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionweb-searchExecute the skills CLI command in your project's root directory to begin installation:
Fetches web-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 web-search. Access via /web-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.
Submit your Claude Code skill and start earning
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/web/search?q=python+web+frameworks" \
-H "Accept: application/json" \
-H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}"
curl -s "https://api.search.brave.com/res/v1/web/search" \
-H "Accept: application/json" \
-H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
-G \
--data-urlencode "q=rust programming tutorials" \
--data-urlencode "country=US" \
--data-urlencode "search_lang=en" \
--data-urlencode "count=10" \
--data-urlencode "safesearch=moderate" \
--data-urlencode "freshness=pm"
GET https://api.search.brave.com/res/v1/web/search
POST https://api.search.brave.com/res/v1/web/search
Note: Both GET and POST methods are supported. POST is useful for long queries or complex Goggles.
Authentication: X-Subscription-Token: <API_KEY> header
Optional Headers:
Accept-Encoding: gzip — Enable gzip compression| Feature | Web Search (this) | LLM Context (llm-context) |
Answers (answers) |
|---|---|---|---|
| Output | Structured results (links, snippets, metadata) | Pre-extracted page content for LLMs | End-to-end AI answers with citations |
| Result types | Web, news, videos, discussions, FAQ, infobox, locations, rich | Extracted text chunks, tables, code | Synthesized answer + source list |
| Unique features | Goggles, structured data (schemas), rich callbacks |
Token budget control, threshold modes | Multi-iteration search, streaming, OpenAI SDK compatible |
| Speed | Fast (~0.5-1s) | Fast (<1s) | Slower (~30-180s) |
| Best for | Search UIs, data extraction, custom ranking | RAG pipelines, AI agents, grounding | Chat interfaces, thorough research |
| 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 |
Language preference (2+ char language code) |
ui_lang |
string | No | en-US |
UI language (e.g., "en-US") |
count |
int | No | 20 |
Max results per page (1-20) |
offset |
int | No | 0 |
Page offset for pagination (0-9) |
safesearch |
string | No | moderate |
Adult content filter (off/moderate/strict) |
freshness |
string | No | - | Time filter (pd/pw/pm/py or date range) |
text_decorations |
bool | No | true |
Include highlight markers |
spellcheck |
bool | No | true |
Auto-correct query |
result_filter |
string | No | - | Filter result types (comma-separated) |
goggles |
string | No | - | Custom ranking filter (URL or inline) |
extra_snippets |
bool | No | - | Get up to 5 extra snippets per result |
operators |
bool | No | true |
Apply search operators |
units |
string | No | - | Measurement units (metric/imperial) |
enable_rich_callback |
bool | No | false |
Enable rich 3rd party data callback |
include_fetch_metadata |
bool | No | false |
Include fetched_content_timestamp on results |
| Value | Description |
|---|---|
pd |
Past day (24 hours) |
pw |
Past week (7 days) |
pm |
Past month (31 days) |
py |
Past year (365 days) |
YYYY-MM-DDtoYYYY-MM-DD |
Custom date range |
Filter types: discussions, faq, infobox, news, query, videos, web, locations
# Only web and video results
curl "...&result_filter=web,videos"
For location-aware results, add these headers. Lat/Long is sufficient when coordinates are known — the other headers are only needed as a fallback when coordinates are unavailable.
| Header | Type | Description |
|---|---|---|
X-Loc-Lat |
float | User latitude (-90.0 to 90.0) |
X-Loc-Long |
float | User longitude (-180.0 to 180.0) |
X-Loc-Timezone |
string | IANA timezone (e.g., "America/San_Francisco") |
X-Loc-City |
string | City name |
X-Loc-State |
string | State/region code (ISO 3166-2) |
X-Loc-State-Name |
string | State/region full name (e.g., "California") |
X-Loc-Country |
string | 2-letter country code |
X-Loc-Postal-Code |
string | Postal code (e.g., "94105") |
Priority:
X-Loc-Lat+X-Loc-Longtake precedence. When provided, downstream services resolve the location directly from coordinates and the text-based headers (City, State, Country, Postal-Code) are not used for location resolution. Provide text-based headers only when you don't have coordinates. Sending both won't break anything — lat/long simply wins.
| Field | Type | Description |
|---|---|---|
type |
string | Always "search" |
query.original |
string | The original search query |
query.altered |
string? | Spellcheck-corrected query (if changed) |
query.cleaned |
string? | Cleaned/normalized query |
query.spellcheck_off |
bool? | Whether spellcheck was disabled |
query.more_results_available |
bool | Whether more pages exist |
query.show_strict_warning |
bool? | True if strict safesearch blocked adult results |
query.search_operators |
object? | Applied search operators (applied, cleaned_query, sites) |
web.type |
string | Always "search" |
web.results[].title |
string | Page title |
web.results[].url |
string | Page URL |
web.results[].description |
string? | Snippet/description text |
web.results[].age |
string? | Human-readable age (e.g., "2 days ago") |
web.results[].language |
string? | Content language code |
web.results[].meta_url |
object | URL components (scheme, netloc, hostname, path) |
web.results[].thumbnail |
object? | Thumbnail (src, original) |
web.results[].thumbnail.original |
string? | Original full-size image URL |
web.results[].thumbnail.logo |
bool? | Whether the thumbnail is a logo |
web.results[].profile |
object? | Publisher identity (name, url, long_name, img) |
web.results[].page_age |
string? | ISO datetime of publication (e.g., "2025-04-12T14:22:41") |
web.results[].extra_snippets |
list[str]? | Up to 5 additional excerpts |
web.results[].deep_results |
object? | Additional links (buttons, links) from the page |
web.results[].schemas |
list? | Raw schema.org structured data |
web.results[].product |
object? | Product info and reviews |
web.results[].recipe |
object? | Recipe details (ingredients, time, ratings) |
web.results[].article |
object? | Article metadata (author, publisher, date) |
web.results[].book |
object? | Book info (author, ISBN, rating) |
web.results[].software |
object? | Software product info |
web.results[].rating |
object? | Aggregate ratings |
web.results[].faq |
object? | FAQ found on the page |
web.results[].movie |
object? | Movie info (directors, actors, genre) |
web.results[].video |
object? | Video metadata (duration, views, creator) |
web.results[].location |
object? | Location/restaurant details |
web.results[].qa |
object? | Question/answer info |
web.results[].creative_work |
object? | Creative work data |
web.results[].music_recording |
object? | Music/song data |
web.results[].organization |
object? | Organization info |
web.results[].review |
object? | Review data |
web.results[].content_type |
string? | Content type classification |
web.results[].fetched_content_timestamp |
int? | Fetch timestamp (with include_fetch_metadata=true) |
web.mutated_by_goggles |
bool | Whether results were re-ranked by Goggles |
web.family_friendly |
bool | Whether results are family-friendly |
mixed |
object? | Preferred display order (see Mixed Response below) |
discussions.results[] |
array? | Forum discussion clusters |
discussions.results[].data.forum_name |
string? | Forum/community name |
discussions.results[].data.num_answers |
int? | Number of answers/replies |
discussions.results[].data.question |
string? | Discussion question |
discussions.results[].data.top_comment |
string? | Top-voted comment excerpt |
faq.results[] |
array? | FAQ entries |
news.results[] |
array? | News articles |
videos.results[] |
array? | Video results |
infobox.results[] |
array? | Knowledge graph entries |
locations.results[] |
array? | Local POI results |
rich.hint.vertical |
string? | Rich result type |
rich.hint.callback_key |
string? | Callback key for rich data |
{
"type": "search",
"query": {
"original": "python frameworks",
"altered": "python web frameworks",
"spellcheck_off": false,
"more_results_available": true
},
"web": {
"type": "search",
"results": [
{
"title": "Top Python Web Frameworks",
"url": "https://example.com/python-frameworks",
"description": "A comprehensive guide to Python web frameworks...",
"age": "2 days ago",
"language": "en",
"meta_url": {
"scheme": "https",
"netloc": "example.com",
"hostname": "example.com",
"path": "/python-frameworks"
},
"thumbnail": {
"src": "https://...",
"original": "https://original-image-url.com/img.jpg"
},
"extra_snippets": ["Additional excerpt 1...", "Additional excerpt 2..."]
}
],
"family_friendly": true
},
"mixed": {
"type": "mixed",
"main": [
{"type": "web", "index": 0, "all": false},
{"type": "web", "index": 1, "all": false},
{"type"Make 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.
supercent-io/skills-template
kostja94/marketing-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
Registry listing for web-search matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: web-search is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: web-search is focused, and the summary matches what you get after install.
We added web-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
web-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
web-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: web-search is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend web-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
web-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in web-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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