web-search

Web search with ranked results, snippets, and support for freshness filters, SafeSearch, and custom ranking via Goggles.

brave/brave-search-skills|Updated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGoose

What it does

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

Repository

brave/brave-search-skills

Last updated

Apr 8, 2026

Installation Guide

Select your AI agent

How to use web-search on Cursor

AI-first code editor with Composer

Prerequisites

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

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add web-search

Run the install 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 web-search

Fetches web-search from brave/brave-search-skills and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/web-search

Restart Cursor to activate web-search. Access via /web-search in your agent's command palette.

⚠

Security 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 environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

List & Monetize Your Skill

Submit your Claude Code skill and start earning

Get started →

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

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

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")

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

web-search

What it does

Category

Repository

Last updated

Installation Guide

How to use web-search on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

List & Monetize Your Skill

Use Cases

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Install Skill

Web Search

Quick Start (cURL)

Basic Search

With Parameters

Endpoint

When to Use Web Search

Parameters

Freshness Values

Result Filter Values

Location Headers (Optional)

Response Format

Response Fields

JSON Example

Stakeholder Communication

Implementation Guide

Best Practices

When to Use This

Learning Path

Related Skills

web-accessibility

google-search-console

grill-me

premortem

deslop

framer-motion

Reviews

Discussion

`Stakeholder Communication`

`Implementation Guide`

`Best Practices`

`When to Use This`

`Learning Path`

`Related Skills`

`Reviews`

`Discussion`