news-search

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

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

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

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

skill.md

News 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/news/search?q=space+exploration" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}"

Recent News (Past 24 Hours)

curl -s "https://api.search.brave.com/res/v1/news/search" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
  -G \
  --data-urlencode "q=cybersecurity" \
  --data-urlencode "country=US" \
  --data-urlencode "freshness=pd" \
  --data-urlencode "count=20"

Date Range Filter

curl -s "https://api.search.brave.com/res/v1/news/search" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
  -G \
  --data-urlencode "q=climate summit" \
  --data-urlencode "freshness=2026-01-01to2026-01-31"

Endpoint

GET https://api.search.brave.com/res/v1/news/search
POST https://api.search.brave.com/res/v1/news/search

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

Note: Both GET and POST are supported. POST is useful for long queries or complex Goggles.

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 Language preference (2+ char language code)
ui_lang string No en-US UI language (e.g., "en-US")
count int No 20 Number of results (1-50)
offset int No 0 Page offset (0-9)
safesearch string No strict Adult content filter (off/moderate/strict)
freshness string No - Time filter (pd/pw/pm/py or date range)
spellcheck bool No true Auto-correct query
extra_snippets bool No - Up to 5 additional excerpts per result
goggles string or array No - Custom ranking filter (URL or inline; repeat param for multiple)
operators bool No true Apply search operators
include_fetch_metadata bool No false Include fetch timestamps in results

Freshness Values

Value Description
pd Past day (24 hours) - ideal for breaking news
pw Past week (7 days)
pm Past month (31 days)
py Past year (365 days)
YYYY-MM-DDtoYYYY-MM-DD Custom date range

Response Format

{
  "type": "news",
  "query": {
    "original": "space exploration"
  },
  "results": [
    {
      "type": "news_result",
      "title": "New Developments in Space Exploration",
      "url": "https://news.example.com/space-exploration",
      "description": "Recent missions have advanced our understanding of...",
      "age": "2 hours ago",
      "page_age": "2026-01-15T14:30:00",
      "page_fetched": "2026-01-15T15:00:00Z",
      "meta_url": {
        "scheme": "https",
        "netloc": "news.example.com",
        "hostname": "news.example.com",
        "favicon": "https://imgs.search.brave.com/favicon/news.example.com",
        "path": "/space-exploration"
      },
      "thumbnail": {
        "src": "https://imgs.search.brave.com/..."
      }
    }
  ]
}

Response Fields

Field Type Description
type string Always "news"
query.original string The original search query
query.altered string? Spellcheck-corrected query (if changed)
query.cleaned string? Cleaned/normalized query from spellchecker
query.spellcheck_off bool? Whether spellcheck was disabled
query.show_strict_warning bool? True if strict safesearch blocked results
query.search_operators object? Applied search operators
query.search_operators.applied bool Whether operators were applied
query.search_operators.cleaned_query string? Query after operator processing
query.search_operators.sites list[str]? Domains from site: operators
results[].type string Always "news_result"
results[].title string Article title
results[].url string Source URL of the article
results[].description string? Article description/summary
results[].age string? Human-readable age (e.g. "2 hours ago")
results[].page_age string? Publication date from source (ISO datetime)
results[].page_fetched string? When page was last fetched (ISO datetime)
results[].fetched_content_timestamp int? Fetch timestamp (only with include_fetch_metadata=true)
results[].meta_url.scheme string? URL protocol scheme
results[].meta_url.netloc string? Network location
results[].meta_url.hostname string? Lowercased domain name
results[].meta_url.favicon string? Favicon URL
results[].meta_url.path string? URL path
results[].thumbnail.src string Served thumbnail URL
results[].thumbnail.original string? Original thumbnail URL
results[].extra_snippets list[str]? Up to 5 additional excerpts per result

Goggles (Custom Ranking) — Unique to Brave

Goggles let you re-rank news results — boost trusted outlets or suppress unwanted sources.

Method Example
Hosted --data-urlencode "goggles=https://raw.githubusercontent.com/brave/goggles-quickstart/main/goggles/hacker_news.goggle"
Inline --data-urlencode 'goggles=$discard\n$site=example.com'

Hosted goggles must be on GitHub/GitLab, include ! name:, ! description:, ! author: headers, and be registered at https://search.brave.com/goggles/create. Inline rules need no registration.

Syntax: $boost=N / $downrank=N (1–10), $discard, $site=example.com. Combine with commas: $site=example.com,boost=3. Separate rules with \n (%0A).

Allow list: $discard\n$site=docs.python.org\n$site=developer.mozilla.orgBlock list: $discard,site=pinterest.com\n$discard,site=quora.com

Resources: Discover · Syntax · Quickstart

Search Operators

Use search operators to refine results:

  • site:local-paper.com - Limit to specific news site
  • "exact phrase" - Match exact phrase
  • -exclude - Exclude term

Set operators=false to disable operator parsing.

Use Cases

  • Breaking news monitoring: Use freshness=pd for the most recent articles on a topic.
  • Custom news feeds with Goggles: Boost trusted sources and discard other sources — unique to Brave.
  • Historical news research: Use freshness=YYYY-MM-DDtoYYYY-MM-DD to find articles from specific time periods.
  • Multilingual news: Combine country, search_lang, and ui_lang for cross-locale results.
  • Data pipelines: Set include_fetch_metadata=true for fetched_content_timestamp on each result.

Notes

  • SafeSearch: Defaults to strict
  • Pagination: Use offset (0-9) with count
  • Extra snippets: Up to 5 additional excerpts when extra_snippets=true
how to use news-search

How to use news-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 news-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 news-search

The skills CLI fetches news-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/news-search

Reload or restart Cursor to activate news-search. Access the skill through slash commands (e.g., /news-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

Submit your Claude Code skill and start earning

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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)
  • No comments yet — start the thread.
general reviews

Ratings

4.867 reviews
  • Maya Smith· Dec 24, 2024

    Keeps context tight: news-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dhruvi Jain· Dec 16, 2024

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

  • Aditi Ramirez· Dec 16, 2024

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

  • Aanya Menon· Dec 8, 2024

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

  • Ama Robinson· Dec 4, 2024

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

  • Aanya Verma· Nov 27, 2024

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

  • Kwame Garcia· Nov 23, 2024

    Keeps context tight: news-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Isabella Iyer· Nov 19, 2024

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

  • Advait White· Nov 15, 2024

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

  • Oshnikdeep· Nov 7, 2024

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

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