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ddgr▌

ysm-dev/ddgr-skill · updated Apr 8, 2026

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$npx skills add https://github.com/ysm-dev/ddgr-skill --skill ddgr
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summary

Search DuckDuckGo from the terminal using ddgr.

skill.md

ddgr Web Search

Search DuckDuckGo from the terminal using ddgr.

When to Use

  • User asks to search the web or look something up
  • Need current/real-time information not in training data
  • User wants to find documentation, tutorials, or resources
  • DuckDuckGo Bang searches (Wikipedia, StackOverflow, GitHub, etc.)

Prerequisites

ddgr must be installed: brew install ddgr or pip install ddgr

Basic Usage

ddgr --noua --np --json "search query"

Required flags:

  • --noua: Disable user agent (always use this)
  • --np (noprompt): Exit after showing results, no interactive prompt
  • --json: Output in JSON format for parsing (implies --np)

Options

Flag Description
-n N Number of results (0-25, default 10)
-t SPAN Time filter: d (day), w (week), m (month), y (year)
-w SITE Search within a specific site
-r REG Region-specific search (e.g., us-en, uk-en, in-en)
-x Show full URLs instead of domain only
-j "I'm Feeling Ducky" - open first result in browser
-i Retrieve instant answer only
--unsafe Disable safe search
--rev List results in reversed order
-p URI HTTPS proxy (also reads https_proxy env var)

DuckDuckGo Bangs

Bangs redirect searches to other sites. Escape ! in bash/zsh:

ddgr --noua --np \!w "search term"      # Wikipedia
ddgr --noua --np \!so "python error"    # StackOverflow  
ddgr --noua --np \!gh "repo name"       # GitHub
ddgr --noua --np \!yt "video topic"     # YouTube
ddgr --noua --np \!a "product"          # Amazon

Full bang list: https://duckduckgo.com/bang

Search Keywords

ddgr --noua --np --json "filetype:pdf annual report"
ddgr --noua --np --json "site:reddit.com python tips"

Examples

Basic search:

ddgr --noua --np --json "python asyncio tutorial"

Recent results (last week):

ddgr --noua --np --json -t w "latest news topic"

Site-specific search:

ddgr --noua --np --json -w stackoverflow.com "parse JSON"

Region-specific (India, English):

ddgr --noua --np --json -r in-en "IPL cricket"

Instant answer:

ddgr --noua --np -i "weather new york"

Limit to 5 results:

ddgr --noua --np --json -n 5 "quick query"

JSON Output Structure

Each result contains:

  • title: Page title
  • url: Full URL
  • abstract: Description/snippet

Parse with jq:

ddgr --noua --np --json "query" | jq '.[].title'
ddgr --noua --np --json "query" | jq -r '.[0].url'  # First result URL
how to use ddgr

How to use ddgr 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 ddgr
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/ysm-dev/ddgr-skill --skill ddgr

The skills CLI fetches ddgr from GitHub repository ysm-dev/ddgr-skill 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/ddgr

Reload or restart Cursor to activate ddgr. Access the skill through slash commands (e.g., /ddgr) 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.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

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

✓

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

4.7★★★★★47 reviews
  • ★★★★★Mei White· Dec 28, 2024

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

  • ★★★★★Ren Anderson· Dec 20, 2024

    ddgr reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Ganesh Mohane· Dec 16, 2024

    ddgr reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Aarav Abebe· Dec 12, 2024

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

  • ★★★★★Anika Singh· Dec 8, 2024

    Useful defaults in ddgr — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Lucas Bhatia· Nov 11, 2024

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

  • ★★★★★Sakshi Patil· Nov 7, 2024

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

  • ★★★★★Ava Sethi· Nov 3, 2024

    Useful defaults in ddgr — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Chaitanya Patil· Oct 26, 2024

    Useful defaults in ddgr — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Ava Taylor· Oct 22, 2024

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

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