mcpbeat

Domain

coreyhaines31/domain

When you want to brainstorm and check available .com domains for a new project — brand naming, aftermarket pricing (HugeDomains / Afternic / Sedo / Dan), USPTO trademark screening, and social handle availability. Built on Laura Roeder's \"work backwards from availability, not from a name you fell in love with\" methodology. Uses Vercel CLI + whois + Domainr API + Namecheap API + agent-browser for the pieces each tool actually reliably supports (multi-tool ensemble because no single tool covers everything cleanly). 11-step workflow: budget → brainstorm → primary availability check → whois cross-check → Domainr aggregation → Namecheap price → aftermarket sweep → bucket → negotiate → NAME research (trademark + socials) → buy. Triggers on \"/domain,\" \"find a domain,\" \"check domain availability,\" \"brainstorm a domain,\" \"what .com is available for X,\" \"domain hunt,\" \"name my project,\" \"is X.com available,\" \"aftermarket price on X.com,\" \"trademark check for X.\

4k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
438
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/coreyhaines31/makerskills --skill domain

The instruction itself

18 sections, as written by the author

/domain — Brainstorm + check available .com domains

Multi-tool workflow to find a great, affordable, available .com for a new project. Built on Laura Roeder's rule: work backwards from what's actually available — don't fall in love with a name first (source).

Defaults to .com only. Only deviate (.dev, .co, .io, .ai) if the project is dev-tooling-only or the user explicitly asks.

Step 0 — Environment checks

Verify these before proceeding (surface install commands if missing, don't try to install silently):

| Tool | Check | Install if missing |

|---|---|---|

| Vercel CLI | vercel whoami | npm i -g vercel && vercel login |

| whois | which whois | brew install whois (macOS) |

| Domainr API key | [ -n "$DOMAINR_API_KEY" ] | Get free key at rapidapi.com/domainr/api/domainr, add to ~/.zshenv |

| Namecheap API | [ -n "$NAMECHEAP_API_KEY" ] && [ -n "$NAMECHEAP_API_USER" ] && [ -n "$NAMECHEAP_CLIENT_IP" ] | Enable API at ap.www.namecheap.com/settings/tools/apiaccess/, add 3 env vars, whitelist your IP |

Domainr + Namecheap are optional — the workflow degrades gracefully without them (skips the corresponding cross-check steps).

Step 1 — Set the budget

Ask: what would you pay for a great .com on this project? Anchor defaults:

| Budget | What it buys |

|---|---|

| $0 | Only unregistered domains (rare for anything good) |

| $250–$1k | Aftermarket sweet spot (HugeDomains is the standout — Laura found "a ton of great .com's available for less than $1k") |

| $1k–$2k | Laura's Paperbell.com range — plenty of brandable options |

| $2k+ | Premium |

Filter all candidates to under-budget BEFORE falling in love.

Step 2 — Seed words for "branded" combos

Ask what the product does + the feeling/category. Brainstorm 20–40 candidate domains using these preferences (in order):

  • Two real words mashed together ← preferred (Helpscout, RightMessage, ConvertKit, Paperbell, Mailchimp). Easy to spell, remember, google.
  • Prefix/suffix the bare word — grab the .com when the bare word is taken or over budget. "I love word X, X.com is gone, what qualifier unlocks the .com?"
  • Modern prefixes (B2B SaaS feel): try (TryGamma, TryRoam), use (UseMotion, UseChalk), with (WithCove, WithFrame), join (JoinHomebase, JoinHonor)
  • Classic prefixes (still work): get (GetMagic, GetResponse), go (GoCardless, GoFundMe), hey (HeyMarvin, HeyHenry), the (TheBrowserCompany, TheDyrt — editorial vibe)
  • Dated — avoid unless intentional: my (MyFitnessPal), meet (MeetEdgar)
  • Suffixes: +ly (Calendly, Grammarly — battle-tested but reads "2015 startup"), +ify (Spotify, Shopify — rare, hard to land authentically), +labs (AI/research positioning), +hq / +app (mostly informal)
  • Watch: trademark collision (UseSlack.com is a brand violation even if registrable); popular bare words often have try/use/get/join variants pre-grabbed by the same owner; longer URLs cost spelling-on-phone bandwidth
  • Full grid: if the user loves a bare word, generate all try/use/with/join/get/go/hey/the + word and word + ly/ify/labs/hq/app in one shot — ~15 variants
  • One real word, slightly modified (Trello, Pinterest, Lyft) — fine.
  • Made-up-sounds (Sunsama, Besedky) — only as fallback. Notoriously hard to remember.
  • Common single-word objects (Clubhouse, Spoke, Blush, Finder) — AVOID. Ungoogleable, .com always taken, collides with other products.

Surface a numbered candidate list before checking — don't burn cycles checking obvious losers.

Step 3 — Primary availability check (Vercel CLI)

Use vercel domains check for availability and vercel domains price for registrar quotes. Loop candidates:

for domain in candidate1.com candidate2.com candidate3.com; do
  echo -n "$domain: "
  vercel domains check "$domain" 2>&1 | grep -E "available|not available|Error" || echo "checking..."
done

For pricing on the candidates that came back available:

vercel domains price candidate1.com candidate2.com candidate3.com

For a single deeper check on a taken domain (registrar status, expiration, nameservers if the domain is already Vercel-managed):

vercel domains inspect candidate.com

TLD reliability: Vercel CLI is rock-solid for .com and most gTLDs, but returns errors for .ai, .dev, .io, .app (Vercel doesn't sell those registrar-side). Skip Step 3 for non-.com candidates and go straight to Step 4.

Step 4 — Cross-check with whois

Ground truth for registration status. Query the right server per TLD — pinning -h whois.verisign-grs.com to a non-.com produces silent false negatives.

.com / .net — Verisign:

for domain in candidate1.com candidate2.com; do
  status=$(whois -h whois.verisign-grs.com "$domain" 2>&1 | grep -iE "no match|registrar:" | head -1)
  echo "$domain → $status"
done

.aiwhois.nic.ai directly (default whois on macOS doesn't always chase the IANA referral):

for domain in candidate.ai; do
  result=$(whois -h whois.nic.ai "$domain" 2>&1)
  if echo "$result" | grep -qi "no object found\|no match\|not registered\|no entries found"; then
    echo "$domain → AVAILABLE"
  elif echo "$result" | grep -qi "registrar:"; then
    echo "$domain → TAKEN"
  fi
done

.dev / .app / .io / other — use rdap.org as universal fallback:

for domain in candidate.dev candidate.app; do
  code=$(curl -sL -o /dev/null -w "%{http_code}" "https://rdap.org/domain/$domain")
  case "$code" in
    404) echo "$domain → AVAILABLE" ;;
    200) echo "$domain → TAKEN" ;;
    429) echo "$domain → rate-limited, sleep + retry" ;;
    *)   echo "$domain → HTTP $code (unclear)" ;;
  esac
  sleep 1  # rdap.org rate-limits aggressively
done

Reading the results:

  • No match / no object found / RDAP 404 = unregistered, available
  • Registrar: <name> / RDAP 200 = taken, check the aftermarket

Step 5 — Domainr cross-check (aftermarket signal)

Domainr aggregates registrar + marketplace status across many TLDs. Skip if DOMAINR_API_KEY unset — otherwise:

for domain in candidate1.com candidate2.com; do
  curl -s "https://domainr.p.rapidapi.com/v2/status?domain=$domain" \
    -H "X-RapidAPI-Key: $DOMAINR_API_KEY" \
    -H "X-RapidAPI-Host: domainr.p.rapidapi.com" \
    | jq -r --arg d "$domain" '.status[] | "\($d): \(.status) — \(.summary)"'
done

Status codes:

  • undelegated inactive → unregistered, free
  • active → registered, in use
  • marketed, parked, priced → for sale on aftermarket (Domainr surfaces price hint when available)
  • premium → registry premium (often $500+/yr)

marketed or priced = high-signal flag to dig into HugeDomains/Afternic in Step 7.

Step 6 — Namecheap price check

Fallback registrar — sometimes cheaper than Vercel on year-1 promo pricing. Skip if NAMECHEAP_API_* unset — otherwise:

DOMAINS="candidate1.com,candidate2.com,candidate3.com"
curl -s "https://api.namecheap.com/xml.response?ApiUser=$NAMECHEAP_API_USER&ApiKey=$NAMECHEAP_API_KEY&UserName=$NAMECHEAP_API_USER&Command=namecheap.domains.check&ClientIp=$NAMECHEAP_CLIENT_IP&DomainList=$DOMAINS" \
  | xmllint --xpath '//*[local-name()="DomainCheckResult"]' - 2>/dev/null \
  | grep -oE 'Domain="[^"]+" Available="[^"]+"( IsPremiumName="[^"]+")?( PremiumRegistrationPrice="[^"]+")?'

Available="true" = registrable at Namecheap registrar prices (typically $9–$15/yr for .com). IsPremiumName="true" = registry premium tier (skip unless under budget).

Reconcile Vercel + Domainr + Namecheap + whois. If they disagree (rare, happens during registrar transfers), trust whois for registration truth and the cheaper of Vercel/Namecheap for actual purchase.

Step 7 — Aftermarket sweep for taken candidates

Don't try to scrape marketplaces. All verified failing:

  • curl (even with realistic User-Agent) → HugeDomains 403, GoDaddy Akamai access-denied
  • WebFetch → Cloudflare 403 across the board
  • dev-browser skill with real Chromium → Cloudflare fingerprints Playwright automation flags, serves challenge pages. Bypassing needs playwright-extra + stealth plugin (flaky) or pre-warmed browser profile with human-solved captcha (not worth it for a domain hunt)
  • domainr.com public web → IP-rate-limited
  • rdap.org → registration status only, no aftermarket pricing

What works: compose marketplace URLs and have the user click. ~30 seconds per domain, 100% reliable. For every "taken" candidate the user is still curious about, output:

namedyoulove.com — TAKEN (Registrar: GoDaddy)
Aftermarket pricing — click to verify:
  HugeDomains: https://www.hugedomains.com/domain-profile.cfm?d=namedyoulove&e=com
  Afternic:    https://www.afternic.com/domain/namedyoulove.com
  Sedo:        https://sedo.com/search/searchresult.php4?keyword=namedyoulove.com
  Dan/GoDaddy: https://dan.com/buy-domain/namedyoulove.com

Laura's HugeDomains note: she got Paperbell.com from HugeDomains for $1,795 and recommends them as the best aftermarket starting point — "a ton of great .com's available for less than $1k." Always check HugeDomains first on taken candidates.

Step 8 — Bucket the results

Group into:

  • Available now (~$10–$30/yr) — primary candidates
  • Aftermarket-listed under budget — secondary (capture asking price + marketplace)
  • Aftermarket over budget OR no listing found — drop, unless the user loves it enough for direct owner outreach

Step 9 — Negotiate on aftermarket listings

When a candidate is listed:

  • Sticker price is rarely the floor. Try a lowball 30–50% below ask.
  • HugeDomains + Afternic have "Make an offer" — use it.
  • If the domain shows "parked" (lander only, no real site) and the owner isn't on a marketplace, look up whois contact + offer directly.

Step 10 — NOW do the name research (not before!)

For top 3–5 candidates that survived availability + budget:

  • Google the bare word — what else exists with it?
  • Trademark check (USPTO) — see Step 10a
  • Social handle availability — see Step 10b
  • Say it out loud — spellable for someone on a phone call?

Step 10a — USPTO trademark search via agent-browser

What does NOT work (verified — don't waste cycles):

  • curl against tmsearch.uspto.gov → AWS WAF challenge, JS shell only, no data
  • WebFetch against tmsearch.uspto.gov → same WAF, empty SPA shell
  • curl/WebFetch against Justia, Trademarkia, TrademarkElite → all 403
  • USPTO Open Data Portal API → requires USPTO.gov account linked to ID.me (hard signup)
  • Marker API / RapidAPI USPTO endpoints → require key signup

What works: drive the real USPTO Trademark Search SPA with agent-browser. Angular + Material components, but the input + Enter-to-submit pattern is reliable.

# Open + search
agent-browser open "https://tmsearch.uspto.gov/" --session tm
sleep 4
agent-browser fill "#searchbar" "<phrase to check>" --session tm
agent-browser press Enter --session tm
sleep 6

# Capture results
agent-browser screenshot /tmp/tm-<slug>.png --session tm
agent-browser eval "(()=>{const m=document.body.innerText.match(/([0-9,]+)\s+results?\s+for/i); return m?m[0]:'no count';})()" --session tm

Reading the result:

  • Total result count = USPTO's fuzzy/word search across the whole DB. Common words return tens of thousands — not a clearance signal on its own.
  • What matters: scan first 5–10 visible mark names in the screenshot (or snapshot -i | grep wordmark). USPTO orders by relevance — an exact-phrase match appears at the top. If top hits are fragmentary ("MY KNOW", "KNOW MY" as separate marks), you almost certainly don't have a blocking exact-phrase registration.
  • Filter to "Live" only in the sidebar to focus on actually-blocking marks (Dead/Cancelled don't matter for new applications).
  • Class matters. A "GIFT ASSESSMENT" mark registered for gift-assessment services (USPTO classes 41 education, 42 SaaS, or 45 personal services) would block you. Same words in gift-baskets-class-35 might be okay.

This is screening, not legal advice — for any name you're seriously committing to, run past an IP lawyer or full clearance service (Cometrics/Corsearch).

agent-browser close --session tm

Step 10b — Social handle availability

# X / Twitter (404 = available)
for handle in candidate1 candidate2; do
  code=$(curl -sL -o /dev/null -w "%{http_code}" -A "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36" "https://x.com/$handle" --max-time 10)
  echo "  @$handle → x.com $code"
done

# LinkedIn company page (404 = available)
for handle in candidate1 candidate2; do
  code=$(curl -sL -o /dev/null -w "%{http_code}" -A "Mozilla/5.0" "https://www.linkedin.com/company/$handle" --max-time 10)
  echo "  $handle → linkedin $code"
done

Instagram is unreliable from script — IG returns 200 for any URL (SPA shell loads even for non-existent handles, "isn't available" message renders client-side). Give the user a click-through:

Instagram: https://instagram.com/<handle>

30 seconds of manual click beats fighting the IG SPA detection.

Step 11 — Buy it

When the user picks a winner that's directly available, buy at whichever registrar quoted the lowest price in Step 3 vs Step 6:

# Vercel
vercel domains buy <domain>.com

# Namecheap (via API — uses ~/.zshenv credentials)
curl -s "https://api.namecheap.com/xml.response?ApiUser=$NAMECHEAP_API_USER&ApiKey=$NAMECHEAP_API_KEY&UserName=$NAMECHEAP_API_USER&Command=namecheap.domains.create&ClientIp=$NAMECHEAP_CLIENT_IP&DomainName=<domain>.com&Years=1&..."

Vercel is one-command and keeps DNS in the same dashboard as deploys — preferred unless Namecheap is meaningfully cheaper (often is on year-1 promo). Auto-renew on by default for both.

Confirm with the user before running — this charges real money.

For aftermarket purchases: buy through the marketplace directly (HugeDomains/Afternic/Sedo all handle escrow). Then transfer or point nameservers to Vercel after transfer completes.

Composes with

  • toolify — wire up the Domainr and Namecheap API credentials if the user hasn't yet
  • business-brainstorm — pressure-test the underlying business idea BEFORE the domain hunt (a bad idea with a great .com is still a bad idea)
  • decide — for the "which of the top 3 candidates" call if it's not obvious
  • skillify — if the domain hunt surfaces a repeat workflow worth capturing (e.g., specific niche naming patterns), scaffold as its own sub-skill

Notes on quality

  • Brainstorming-first, action-last. Never run vercel domains buy until the user explicitly says "buy it." Real money. Availability + price checks (Step 3) use vercel domains check + vercel domains price which are safe.
  • Budget filter is non-negotiable. If the user pushes back ("but I love it"), remind them that's exactly the trap Laura warned about.
  • Multi-tool ensemble is intentional. No single tool covers all the bases cleanly — Vercel is fast but limited to gTLDs; whois is definitive but per-TLD-specific; Domainr aggregates; Namecheap prices year-1 promo; RDAP fills the modern-TLD gap; agent-browser drives USPTO. Skipping any leaves a blind spot.
  • Don't fight marketplace scraping. HugeDomains/Afternic/Sedo/Dan all Cloudflare-block automation. Output click-through URLs. 30 seconds of manual click is more reliable than a headless-browser workaround.
  • USPTO screening ≠ legal clearance. Use this for gut-check filtering; run serious names past an IP lawyer.

Reference

Laura Roeder's original post: https://lauraroeder.com/how-i-nabbed-the-com-for-my-bootstrapped-startup-without-spending-a-million-bucks-6dc35c4606e9

How to use it

Copy the folder

Take coreyhaines31/domain from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npm, brew. Without those the skill loads but fails at the first command.