Quaere Naming

Naming Probe

Iron Law

No name reaches the user without three things named: the metaphor it compresses (its origin story), a tool-verified availability status (real whois / curl / npm / WebSearch checks, never recalled from memory), and the anti-pattern gate it survived. A name that is only a nice-sounding word with none of the three is slop, not a candidate — do not present it.

This is not a branding ritual. Asked to name something, a model regresses toward the mean of its training distribution and emits plausible-sounding -ly / -ify slop, thesaurus synonyms, and empty compounds (Smart-, Cloud-, -Hub) that sound finished but carry no metaphor and were never checked for availability. The gate changes the question from does this sound like a product name to which concrete image does it compress, and is it actually free to use. Presenting names from memory is the failure this skill exists to stop — an unavailable name shipped as available is worse than no name. Full method: references/metaphor.md and references/availability.md.

Stop now — do not present any name you have not run a real availability check on (competitor search + platform commands); memory is not evidence. If fewer than 3 candidates survive the gate, loop back and generate more — do not lower the bar. Full conditions: ## Stop condition.

When to use

• The user needs to name a product, SaaS, brand, library, open source project, CLI, bot, or app.
• The user wants to rename something, find a brand name, or escape generic / AI-slop names.
• A name must work across platforms: domain, npm, PyPI, GitHub, app store, or social handles.

When NOT to use

• Naming code symbols, variables, functions, or files inside a codebase — use quaere-semantic / quaere-execution, not brand naming.
• The name is already chosen and only needs a multi-platform availability sweep — run the availability gate (Step 4) directly and skip metaphor exploration.
• A single authoritative claim about one name (one registry, trademark status) — use quaere-grounding.

Handoff triggers (which skill comes after this one)

Naming ends at vetted finalists with origin stories and availability status, not at a committed choice. Hand off when the next step changes discipline:

• A finalist's availability or trademark status needs authoritative confirmation → quaere-grounding.
• The chosen name must be wired into code, configs, package manifests, or repo metadata → quaere-execution.
• A naming claim ("X is taken", "Y is a competitor") is disputed and needs proof → quaere-evidence.
• No name survives the gate → stop and report the territories explored and why they failed; do not present slop.

The standard handoff payload (Blocking question / Confirmed inputs / Inconclusive inputs / Required next skill / Stop condition) is at the end of this file under "Handoff to other skills".

Core procedure

Run in order. Steps 3–4 are internal — the user sees nothing until Step 5.

1. Naming brief (never skip)

Before generating ANY name, establish context. Ask:

1. What does it do? (one sentence)
2. Who is it for? (audience)
3. What should it feel like? (technical / warm / playful / authoritative)
4. Standalone, or part of an existing brand family?
5. Any off-limits words, concepts, or styles?
6. Which platforms must the name work on? (domain, npm, PyPI, GitHub, app store, social) — this answer decides which availability checks are mandatory in Step 4.

A brief prevents wasted exploration. Do not generate before you have it. When the request already answers brief questions, fill the brief from context, state the assumptions explicitly in the Naming brief output block, and proceed; ask only for missing answers that would change territory or platform choices (the same autonomy rule as Step 2).

2. Metaphor territories (not thesaurus)

Distill the product to one functional sentence, then work the six discovery questions in references/metaphor.md to find conceptual territories: what performs this task in the physical world, in nature, as a machine, as a profession, at its dramatic extreme, at its subtle minimum. Pick 2–3 territories. When the brief gives clear tone / audience / function, select territories autonomously; only ask the user when the brief is genuinely ambiguous. Carry the territory rationale into Step 5.

3. Generate and filter (internal)

Generate 30–50+ candidates within the chosen territories — single words, compounds, modified (truncated / blended / suffixed), foreign words, sound-first. Then cut to ~10 against the anti-pattern checklist in references/metaphor.md: kill suffix-addiction, meaningless portmanteaus, thesaurus synonyms, filler compounds, fake Latin/Greek, and anything failing two or more red flags. Do not show this working list to the user.

4. Availability gate (internal, MANDATORY, blocking)

Do NOT present any name that has not passed this. Memory and guesses are not evidence — run real checks.

1. Competitor search FIRST (cheapest kill): WebSearch "[name]" [category] and "[name]" software/app. A direct competitor in the same space = dead. Drop it immediately; skip platform checks.

2. Platform checks for survivors, scoped to the brief's Step-1 answer. Use the bundled script:

   bash <skill-dir>/scripts/check-availability.sh [name] domain npm pypi github telegram
   

   (<skill-dir> = the directory containing this SKILL.md.)

   It batch-checks domain (whois for .com/.dev/.io), npm, PyPI, GitHub org, crates.io, RubyGems, WP plugin, and Telegram. Run survivors in parallel Bash calls. For app stores and social handles, use WebSearch. Full command table, dictionary-word shortcut, and decision framework: references/availability.md.

3. Decision: drop names failing critical (must-have) platforms or with a direct competitor; flag-but-keep a strong name needing a workaround (exact .com taken but get[name].com free). If fewer than 3 survive, return to Step 3 — do not lower the bar.

4. Blocked checks: if a check cannot execute (no network, blocked DNS, sandbox), never guess and never mark the platform free. When the brief's critical platforms were checked and only secondary ones are blocked, present finalists with the blocked platforms marked unverified (check blocked) and hand those platforms to quaere-grounding for confirmation. When every critical platform from the brief is blocked — or no check could run at all — present NO finalists and make no recommendation: emit the Handoff block with a concrete verification probe instead.

5. Present and decide (first user-facing output)

This is the first time the user sees candidates. Present 3–5 finalists, each with: the name; a 15-second origin story (the metaphor it compresses); which principles it satisfies; tool-verified availability status (confirmed-free platforms and any workarounds); risks / trade-offs. Score with the rubric in references/worked-example.md when finalists are close. Recommend sitting with finalists 24h before committing.

Loop back, do not lower the bar

• All candidates fail anti-patterns → Step 2 (new territories, not more names from exhausted ones).
• Fewer than 3 survive availability → Step 3 (more candidates in surviving territories).
• User rejects all finalists → Step 1 (revisit the brief — tone, audience, constraints).

Output format

Naming brief
- Function / audience / tone / family / off-limits / platforms

Territories explored: <2-3 named conceptual territories + why each fits>

Finalists (3-5, all availability-checked)
- N-001: <name>
  Origin: <15-sec story — the metaphor it compresses>
  Why it works: <principles satisfied>
  Availability: <platform: free | taken | workaround | unverified (check blocked)>  (tool-verified; blocked platforms named, never guessed)
  Risks: <trade-offs>
- N-002: ...

Recommendation: <lead candidate + why> · sit with these 24h before deciding

Common drift modes and anti-patterns

The recurring ways a naming pass collapses into slop — presenting names from memory without checking, thesaurus-diving instead of metaphor, filler compounds, lowering the bar when few survive — map to the Anti-patterns section of references/metaphor.md. Read it when output starts to feel like a name generator rather than vetted finalists.

Worked example

A full pass (brief → territories → candidates → anti-pattern rejects → availability gate → finalists with origin stories), plus the scoring rubric, is in references/worked-example.md. Read it when the steps feel abstract.

Handoff to other skills

When handing off, emit this standard block:

Handoff
- From skill: quaere-naming
- Blocking question: <what naming alone cannot decide>
- Confirmed inputs: <finalists with origin stories and tool-verified availability>
- Inconclusive inputs: <names still needing trademark/availability confirmation>
- Required next skill: <quaere-grounding | quaere-evidence | quaere-execution>
- Stop condition: <what the next skill must return before the name is committed>

• A finalist needs authoritative availability or trademark confirmation → quaere-grounding with the name and the unconfirmed claim.
• A disputed "taken" / "competitor" claim needs proof → quaere-evidence with the claim and a disconfirming probe.
• The chosen name is authorized to wire into code / configs / manifests → quaere-execution with the name and the platforms it must occupy.

Naming ends at vetted finalists. It does not pick the winner for the user and it does not commit the name.

Stop condition

The skill is complete when:

• A naming brief was established before any name was generated (Step 1).
• Candidates came from named metaphor territories, not a thesaurus (Step 2).
• Every presented name passed the anti-pattern filter (Step 3) and a real, tool-verified availability check (Step 4) — none from memory.
• 3–5 finalists are presented, each with an origin story and an availability status (Step 5).
• A handoff or an explicit "no name survived" stop is stated.

Do not present a name you have not checked. Do not lower the bar to reach a count — looping back to an earlier step beats shipping slop. An unavailable name presented as available is the worst outcome; the availability gate exists to prevent exactly that.