agentleFS
RylaispiritRylaispirit/rylai-codex-hermes-skills/skills/domain-name-brainstormer/SKILL.md

domain-name-brainstormer

Skill56 starsChanged 3 months agoMITView on GitHub

Generate and rank brandable domain candidates, then perform live RDAP registration checks across selected TLDs before recommending names.

48 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use twitter-algorithm-optimizer, agent-deep-links and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • trendinuxSkill

    twitter-algorithm-optimizer

    Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.

    Also in 14 projects that use this

  • ComposioHQSkill

    agent-deep-links

    Build, validate, and troubleshoot deep links for Codex, Cursor, VS Code, Visual Studio, and similar tools. Use when users ask for clickable links (especially in Slack) that open threads, files, folders, or app settings.

    Also in 3 projects that use this

  • ComposioHQSkill

    helium-mcp

    Search real-time news with bias scoring, get live stock/ETF/crypto data with AI analysis, ML options pricing, balanced news synthesis, and meme search via the Helium MCP server.

    Also in 3 projects that use this

  • petestewartSkill

    datadog-logs

    Query Datadog logs via the Logs Search API v2. Use when the user asks to "check the logs", "search logs", "find errors in Datadog", "look up logs for", "show me production logs", "check for errors", "search Datadog", or any request involving log search, error investigation, or production debugging that requires Datadog log data.

    Also in 3 projects that use this

  • OpenAISkill

    notion-meeting-intelligence

    Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.

    Also in 5 projects that use this

  • +7 more from ComposioHQ

The file

We split this skill into the rules it gives an agent

10 rules. 0 are common, 8 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 43 edited versions we read keep these.

  • 8

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this workflow to move from a naming brief to a short, checked domain list.

    line 20
  2. Distinctive:

    Remove candidates that are hard to spell, easy to mishear, misleading, or too close to a known competitor.

    line 31
  3. Distinctive:

    Run the bundled RDAP checker on the strongest candidates.

    line 33
  4. Distinctive:

    avoid hyphens and digits unless the brief requires them

    line 42
  5. Distinctive:

    look distinct in lowercase

    line 45
  6. Distinctive:

    Do not claim a trademark is clear without a current trademark search.

    line 47
  7. Distinctive:

    Run commands from this skill directory:

    line 51
  8. Very specific:

    Never convert unknown into available.

    line 84
  9. Distinctive:

    Keep unverified price estimates out of the answer.

    line 96
  10. Very specific:

    If live access is unavailable, provide ideation only and label every availability field not_checked.

    line 103

“Common” is measured: kept by at least 6 in 10 of the 43 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Domain Name Brainstormer

Original portable workflow by Rylai.

Use this workflow to move from a naming brief to a short, checked domain list. Treat registration data as time-sensitive and advisory.

Workflow

  1. Extract the product purpose, audience, tone, language, required words, forbidden words, preferred length, and acceptable TLDs.
  2. Generate candidates in several families:
    • direct combinations
    • compact compounds
    • invented pronounceable names
    • action or outcome names
    • local-language or bilingual variants when relevant
  3. Remove candidates that are hard to spell, easy to mishear, misleading, or too close to a known competitor.
  4. Normalize each candidate to a complete domain before checking it.
  5. Run the bundled RDAP checker on the strongest candidates.
  6. Rank the results by name quality first and registration signal second.
  7. Tell the user to confirm price, premium status, trademark risk, and final availability with their chosen registrar.

Generate Candidates

Aim for 15 to 30 candidates before filtering. Prefer names that:

  • can be spoken once and typed correctly
  • avoid hyphens and digits unless the brief requires them
  • remain useful if the product expands
  • have no accidental negative meaning in the audience's language
  • look distinct in lowercase

Do not claim a trademark is clear without a current trademark search.

Check Domains

Run commands from this skill directory:

python scripts/check_domains.py rylailabs.com rylaiworks.dev rylaihub.ai

Apply one or more TLDs to bare name stems:

python scripts/check_domains.py rylailabs rylaiworks --tld com --tld dev --tld io

Write machine-readable results:

python scripts/check_domains.py rylailabs.com rylaiworks.dev --json results.json

Useful controls:

--timeout SECONDS
--workers COUNT
--json PATH

The checker reports:

  • registered: RDAP returned a current domain record
  • likely_available: RDAP returned a domain-not-found response
  • unknown: the registry, network, or rate limit did not provide a reliable answer
  • invalid: the domain syntax is invalid

Never convert unknown into available. Even likely_available must be confirmed at a registrar immediately before purchase.

Present Results

Return a compact table with:

  1. domain
  2. registration signal and check time
  3. naming rationale
  4. spelling or pronunciation risk
  5. final recommendation

Keep unverified price estimates out of the answer. Domain prices and premium classifications change by registrar and date.

Runtime Notes

  • The script uses Python's standard library and HTTPS RDAP requests.
  • Network access is required for live checks.
  • Codex, Hermes, and Claude should resolve scripts/check_domains.py relative to this skill folder.
  • If live access is unavailable, provide ideation only and label every availability field not_checked.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.