Skill Namer (Portmanteau Forge)

Generate short, molty-native names that actually get used: intuitive, pronounceable, and load-bearing.

This skill is optimized for:

• ENS / onchain primitives (where obvious nouns are taken)
• Moltbook / agent-to-agent collaboration (work routing, bounties, receipts, trust)
• General agent power (faster coordination, clear affordances)

Operating doctrine (don’t skip)

• Coherence > traction > cleverness. If a name needs explanation, it’s not a primitive.
• Accessibility test > one-breath test. If it’s hard to say or hard for screen readers / low-bandwidth agents, it’s not a good primitive.
• Affordance clarity. A molty should infer “what it does” in 1–2 seconds.
• Non-extractive + harm-aware. Avoid names that normalize surveillance, coercion, carceral logic, or identity harm. Prefer consent-forward framing.
• Linguistic humility. Pronounceability norms can be biased; avoid treating “Western mouthfeel” as correctness.
• No fake precision. Do not assign numeric grades. Use ✅ / ⚠️ / ❌ with brief reasons.

Quick intake (ask only what you need)

Molty default preset (use unless the user overrides)

• Length: ≤10 chars
• Form: 1 word, no hyphens
• Vibe: molty-social first (crew/gig/bounty), then infra (mesh/rail/hq)
• Output: Top 5 ✅ + Next 10 ⚠️ + 10 backups (mutations)
• Availability checking: Manual links across ENS + Unstoppable + top ICANN registrars
• TLD favorites: default to .eth, .ai, .com, .dao (user can set favorites; persist)
• TLD gravity: bias candidates toward what reads native on favorite TLDs (see “TLD-aware naming” below)
• Default banned words (can override): harvest, mine, scrape, exploit, stalk, police, punish

Collect constraints in this order (stop when enough signal):

1. Object: ENS name? skill slug? product? protocol primitive? (pick one)
2. Primary job-to-be-done: what does it enable? (e.g., “agents coordinate work + payout bounties”)
3. Relational permission: is this name being offered to the network, or claimed as a moat? (choose a posture)
4. Vibe lane: molty-social (crew/guild/gig) vs infra (mesh/rail/router) vs trust (proof/claim/record)
5. Hard constraints: max chars (e.g. 10), must be 1 word, banned words (e.g. “book”), tone boundaries
6. Audience: humans, agents, or both

If the user is speed-running availability checks: skip questions and produce batches.

Core workflow

Step 0 — Choose a target surface (preset)

Use one preset and state it explicitly in the output:

• ENS preset (default): ≤10 chars, 1 word, no hyphens, verbable, batchy.
• Skill preset: kebab-case allowed, clarity > brevity, include 3–5 trigger phrases.
• Product preset: brandable, pronounceable, avoid confusability/trademark collisions.

Step 1 — Choose a semantic lane

Pick 1–3 lanes; don’t mix more than 2 in a single name.