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Use when searching for domain names, checking availability, or brainstorming domain ideas. Uses tldx CLI for fast bulk checks.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | domain-research |
| description | Use when searching for domain names, checking availability, or brainstorming domain ideas. Uses tldx CLI for fast bulk checks. |
~/bin/tldx
Installed from github.com/brandonyoungdev/tldx.
# Check specific words across TLDs
~/bin/tldx word1 word2 word3 -t com,io,ai,dev,app,bot -a --show-stats
# -a = only show available domains
# --show-stats = show summary at end
# -t = TLDs to check (comma-separated)
| Flag | Description |
|---|---|
-t | TLDs to check: com,io,ai,dev,app,bot |
-a | Only show available domains |
-p | Prefixes to prepend: get,use,my,the,go |
-s | Suffixes to append: bot,hq,lab,ai,app,hub,run |
-f | Output format: text,json,csv,grouped,grouped-tld |
-m | Max domain length |
-r | Enable regex pattern matching |
-i | Read keywords from file |
--tld-preset | Use preset: popular, tech |
--show-stats | Show search/available/taken counts |
--no-color | Disable colors (useful for piping) |
~/bin/tldx myword -t bot -a --show-stats
~/bin/tldx keyword1 keyword2 -p get,use,my,the,go -s bot,hq,lab -t com,io,ai -a --show-stats
~/bin/tldx keyword -t com,io,ai -a -f csv > results.csv
~/bin/tldx -i keywords.txt -t bot -a --show-stats
Run ~/bin/tldx show-tld-presets to see available presets.
| TLD | Typical Price | Cloudflare At-Cost | Notes |
|---|---|---|---|
| .com | $10-12/yr | ~$10/yr | — |
| .co | $25-30/yr | $26.00/yr | — |
| .io | $30-40/yr | ~$35/yr | — |
| .ai | $50-80/yr | $70.00/yr | 2yr minimum registration |
| .dev | $12-15/yr | ~$12/yr | — |
| .app | $12-15/yr | ~$12/yr | — |
| .bot | $40-65/yr | N/A | Amazon Registry; Porkbun cheapest (~$41 first yr) |
Cheapest registrars by TLD:
--show-stats to see hit rate.bot TLD has high availability -- Amazon dropped verification requirements Oct 2023--show-stats flag included for summaryMichael's operating + emotional coach. Operational mode — daily startup/shutdown, weekly review, pomodoro, inbox capture, daily notes (auto-loads in ~/ws/notes). Emotional/decision mode (Joe Hudson style) — use on "coach me"/"joe coach", stuck/looping/overthinking, harsh self- or other-judgment, a binary either/or decision that won't resolve, or fear, shame, loneliness, anxiety, burnout, or grief, when Michael wants to be met in a feeling rather than handed advice. Not for clinical crises (refer out).
Use when creating or processing Todoist tasks, triaging inbox items, doing daily task review, calibrating Todoist triage behavior, or turning corrections into reusable preferences. Routes to operations (CLI actions) vs calibrated triage (policy, context recovery, preference memory, evals). Trigger this whenever the user asks what to do with Todoist items, wants better task triage, or is refining how Todoist decisions should work.
Run real Deep Research across ChatGPT, Claude, and Gemini in parallel via the user's own logged-in browser (Chrome extension, zero API cost), save each original report to Notion, then synthesize. Use whenever the user wants a "deep dive", "deep research", a thorough multi-source investigation, or to research a topic across the models and compare what each finds. Drives the paid subscription products, NOT the API. NOT for single-fact lookups or ordinary web search — use web-search for those.
Use when setting up, auditing, or improving AI agent infrastructure in a repo — AGENTS.md/CLAUDE.md files, linters, architectural constraints, feedback loops, context tiering, agent specialization, or entropy management. Also triggers on "harness engineering", "agent-friendly repo", "make my repo work well with coding agents", "set up my repo for agents", or "why is my agent struggling".
Interactive Todoist triage with preference learning. Use when the user says "triage", "process my inbox", "clean up tasks", "triage my todoist", "file these captures", or mentions inbox zero. Also use when the user has a batch of raw items (voice notes, links, ideas) that need classifying and routing to Todoist projects or Obsidian. Runs an interactive confirm/correct loop that learns your routing preferences over time.
Use when the user asks to save session context, identify the current session or thread, create a resumable handoff, or prepare a Todoist/note summary that must include the working directory and session id. Works across Codex and Claude Code by detecting runtime-specific session identifiers and normalizing them into one summary.