Local metasearch engine aggregating results from multiple sources with JSON output and package repository support.
Works with
Supports 20+ search categories including general web, Cargo/crates.io, npm, GitHub repositories, IT resources, academic papers, news, images, and videos
Returns structured JSON with result metadata (title, URL, content, engines, score, publish date) plus answer boxes, suggestions, and infoboxes
Auto-detects podman or docker, starts SearXNG on localhost:8888 with minimal
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsearxng-searchExecute the skills CLI command in your project's root directory to begin installation:
Fetches searxng-search from ypares/agent-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 searxng-search. Access via /searxng-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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SearXNG is a privacy-respecting metasearch engine that you can run locally. It aggregates results from multiple search engines and package repositories, returning clean JSON output.
Start SearXNG:
start-searxng --detach
This will:
http://localhost:8888Stop SearXNG:
podman stop searxng # or: docker stop searxng
Custom port:
start-searxng --port 9999 --detach
| Task | Command | Category |
|---|---|---|
| General web search | curl "http://localhost:8888/search?q=<query>&format=json" |
general |
| Search Cargo/crates.io | curl "http://localhost:8888/search?q=<crate>&format=json&categories=cargo" |
cargo |
| Search npm packages | curl "http://localhost:8888/search?q=<pkg>&format=json&categories=packages" |
packages |
| Search code repositories | curl "http://localhost:8888/search?q=<query>&format=json&categories=repos" |
repos |
| Search IT resources | curl "http://localhost:8888/search?q=<query>&format=json&categories=it" |
it |
| Limit results | Add &limit=N to URL |
- |
| Multiple categories | &categories=cat1,cat2 |
- |
Run to see all categories:
curl -s "http://localhost:8888/config" | jq '.categories'
Notable categories:
See package-engine-status.md for comprehensive package search testing results.
{
"query": "search term",
"number_of_results": 0,
"results": [
{
"url": "https://example.com",
"title": "Result Title",
"content": "Snippet of content...",
"publishedDate": "2025-01-01T00:00:00",
"engine": "duckduckgo",
"engines": ["duckduckgo", "startpage"],
"score": 3.0,
"category": "general"
}
],
"answers": [], // Direct answers/infoboxes
"suggestions": [], // Search suggestions
"corrections": [], // Query corrections
"infoboxes": [], // Knowledge panels
"unresponsive_engines": []
}
Cargo/Rust crates:
curl -s "http://localhost:8888/search?q=tokio&format=json&categories=cargo" | \
jq '.results[] | {title, url, content}'
npm packages:
curl -s "http://localhost:8888/search?q=express&format=json&categories=packages" | \
jq '.results[] | select(.engines[] == "npm") | {title, url, content}'
PyPI packages (workaround - see below):
# PyPI engine is enabled but not returning results in current SearXNG config
# Use direct API or qypi CLI instead (see PyPI Workaround section)
IT/Tech search:
curl -s "http://localhost:8888/search?q=rust+async&format=json&categories=it" | \
jq '.results[0:5] | .[] | {title, url, engines}'
GitHub repositories:
curl -s "http://localhost:8888/search?q=machine+learning&format=json&categories=repos" | \
jq '.results[] | select(.engines[] == "github") | {title, url}'
Get top 3 results:
curl -s "http://localhost:8888/search?q=rust+ownership&format=json" | \
jq '.results[0:3] | .[] | {title, url, content}'
Check which engines returned results:
curl -s "http://localhost:8888/search?q=python&format=json" | \
jq '.results[0].engines'
Get answer boxes/infoboxes:
curl -s "http://localhost:8888/search?q=rust+language&format=json" | \
jq '.infoboxes, .answers'
Since PyPI is not returning results in SearXNG (despite being enabled), use these alternatives:
# Search (limited to simple package name matching)
curl -s "https://pypi.org/pypi/<package>/json" | jq '.info | {name, summary, version, home_page}'
# Example:
curl -s "https://pypi.org/pypi/requests/json" | jq '.info.summary'
# Install
uvx qypi search pandas --json
# Get package info
uvx qypi info requests --json
# List releases
uvx qypi releases flask --json
See references/pypi-direct-search.md for more details.
Create a helper function:
def searx [
query: string,
--category (-c): string = "general",
--limit (-l): int = 10
] {
http get $"http://localhost:8888/search?q=($query | url encode)&format=json&categories=($category)"
| get results
| first $limit
| select title url content engines
}
Usage:
searx "tokio async" --category cargo --limit 5
searx "flask tutorial" --category general
Check SearXNG config:
curl -s "http://localhost:8888/config" | jq '.engines[] | select(.name == "pypi")'
Check for engine errors:
curl -s "http://localhost:8888/search?q=test&format=json" | jq '.unresponsive_engines'
Test specific engine:
curl -s "http://localhost:8888/search?q=flask&format=json&engines=pypi" | jq .
categories=packages or categories=it which also include crates.ioThe start-searxng script creates a minimal configuration automatically:
start-searxng --help
Default config includes:
use_default_settings: true (inherits all SearXNG defaults)start-searxng --config /path/to/your/config/dir
Your config directory should contain settings.yml.
# Create config
mkdir -p /tmp/searxng-config
cat > /tmp/searxng-config/settings.yml << 'EOF'
use_default_settings: true
search:
formats:
- html
- json
server:
secret_key: "change-me-in-production"
bind_address: "0.0.0.0"
port: 8080
EOF
# Start with podman
podman run --rm -d --name searxng \
-p 8888:8080 \
-v /tmp/searxng-config:/etc/searxng:Z \
docker.io/searxng/searxng:latest
# Or with docker
docker run --rm -d --name searxng \
-p 8888:8080 \
-v /tmp/searxng-config:/etc/searxng \
docker.io/searxng/searxng:latest
podman logs searxng # or: docker logs searxng
See SearXNG Settings Documentation for all options.
Minimal config to add JSON output to defaults:
use_default_settings: true
search:
formats:
- html
- json
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.
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Useful defaults in searxng-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
searxng-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
searxng-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in searxng-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
searxng-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for searxng-search matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend searxng-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
searxng-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: searxng-search is focused, and the summary matches what you get after install.
I recommend searxng-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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