domain-hunter

resciencelab/opc-skills · updated May 28, 2026

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$npx skills add https://github.com/resciencelab/opc-skills --skill domain-hunter
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summary

Find and purchase domain names at the best price with availability checks and registrar comparison.

  • Generates 5-10 creative, brandable domain suggestions based on project description, then verifies availability via WHOIS or registrar search before presenting options
  • Compares prices across major registrars (Spaceship, Cloudflare, Namecheap, Porkbun, Dynadot) and surfaces renewal costs alongside registration fees
  • Searches Twitter and Reddit for active promo codes from registrar account
skill.md

Domain Hunter Skill

Help users find and purchase domain names at the best price.

Workflow

Step 1: Generate Domain Ideas & Check Availability

Based on the user's project description, generate 5-10 creative domain name suggestions.

Guidelines:

  • Keep names short (under 15 characters)
  • Make them memorable and brandable
  • Consider: {action}{noun}, {noun}{suffix}, {prefix}{keyword}
  • Common suffixes: app, io, hq, ly, ify, now, hub

CRITICAL: Always check availability before presenting domains to user!

Use one of these methods to verify availability:

Method 1: WHOIS check (most reliable)

# Check if domain is available via whois
whois {domain}.{tld} 2>/dev/null | grep -i "no match\|not found\|available\|no data found" && echo "AVAILABLE" || echo "TAKEN"

Method 2: Registrar search page Open the registrar's domain search in browser to verify:

open "https://www.spaceship.com/domains/?search={domain}.{tld}"

Method 3: Bulk check via Namecheap/Dynadot

IMPORTANT:

  • Only present domains that are confirmed AVAILABLE
  • Mark any uncertain domains with "(unverified)"
  • Present suggestions to user and wait for confirmation before proceeding
  • Ask user to pick their preferred options or provide feedback
  • Only move to Step 2 after user approves domain name(s)

Step 2: Compare Prices

Use WebSearch to find current prices:

WebSearch: "cheapest .{tld} domain registrar 2026 site:tld-list.com"
WebSearch: ".{tld} domain price comparison tldes.com"

Key price comparison sites:

  • tld-list.com/tld/{tld}
  • tldes.com/{tld}
  • domaintyper.com/{tld}-domain

Step 3: Find Promo Codes

Use Twitter skill to search registrar accounts:

cd <twitter_skill_directory>
python3 scripts/search_tweets.py "from:{registrar} promo code" --type Latest --limit 15
python3 scripts/search_tweets.py "{registrar} promo code coupon" --type Latest --limit 15

Use Reddit skill to search domain communities:

cd <reddit_skill_directory>
python3 scripts/search_posts.py "{registrar} promo code" --limit 15
python3 scripts/search_posts.py "{registrar} coupon discount" --subreddit Domains --limit 10

Major registrar Twitter handles:

  • @spaceship, @Dynadot, @Namecheap, @Porkbun, @namesilo, @Cloudflare

Step 4: Recommend

Present final recommendation in this format:

## Recommendation

**Domain:** example.ai
**Best Registrar:** Spaceship
**Price:** $68.98/year (2-year minimum = $137.96)
**Promo Code:** None available for .ai
**Purchase Link:** https://www.spaceship.com/

### Price Comparison
| Registrar | Year 1 | Renewal | 2-Year Total |
|-----------|--------|---------|--------------|
| Spaceship | $68.98 | $68.98  | $137.96      |
| Cloudflare| $70.00 | $70.00  | $140.00      |
| Porkbun   | $71.40 | $72.40  | $143.80      |

Important Notes

  1. Premium TLDs (.ai, .io) rarely have promo codes - wholesale costs are too high
  2. .ai domains require 2-year minimum registration
  3. Cloudflare offers at-cost pricing with no markup
  4. Renewal prices often differ from registration - always check both
  5. WHOIS privacy is free at most registrars (Cloudflare, Namecheap, Porkbun)

References

how to use domain-hunter

How to use domain-hunter 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 domain-hunter
2

Execute installation command

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

$npx skills add https://github.com/resciencelab/opc-skills --skill domain-hunter

The skills CLI fetches domain-hunter from GitHub repository resciencelab/opc-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/domain-hunter

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

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.537 reviews
  • Arjun Garcia· Dec 16, 2024

    domain-hunter has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Dhruvi Jain· Dec 12, 2024

    domain-hunter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Isabella Mehta· Dec 8, 2024

    domain-hunter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Isabella Singh· Nov 27, 2024

    domain-hunter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ira Okafor· Nov 11, 2024

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

  • Amelia Srinivasan· Nov 7, 2024

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

  • Oshnikdeep· Nov 3, 2024

    domain-hunter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ganesh Mohane· Oct 22, 2024

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

  • Li Perez· Oct 18, 2024

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

  • Ishan Thompson· Oct 2, 2024

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

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