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business-name-fit

Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into. Use when someone is naming a company, brand, or product and cares about how it lands across languages and regions — for example a name that sounds right at home but might read oddly to English speakers, or an authentic name they want to check before committing. Trigger this for any request about choosing a business name, checking if a name "works" abroad, spotting bad meanings in other languages, or making a name sound trustworthy in a specific market — even if the person doesn't say the word "skill".

72

Quality

91%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is business-name-fit in alirezarezvani/claude-skills

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-sequenced, highly actionable workflow with explicit gates, feedback loops, a specified output format, and a closing verification checklist, all written efficiently. Its one real defect is structural: both bundle files it cites for research depth and worked examples are absent from the skill, so the progressive-disclosure layer it advertises is not delivered.

Suggestions

Ship the referenced bundle files — create references/naming-research.md and references/worked-examples.md (including the 'Scenario A' case cited in the Anti-Patterns section), or remove/repair the references, since two of the skill's depth resources currently dangle.

Deduplicate the Anti-Patterns section against the steps: the English-sound-symbolism caveat appears in both Step 2's Sound check and the Anti-Patterns list, and the compact-table-default rule appears in both Step 4 and the Anti-Patterns list.

Tighten the Overview, which repeats the Anali/framåt examples already given in the description; one shared example is enough to establish the mismatch concept.

DimensionReasoningScore

Conciseness

The body is dense and assumes Claude's competence — it never explains what a trademark is or basic linguistics, and every check definition carries an instruction or example (e.g. "framåt → 'frame'", "❌ reads as slur (EN)"). It falls short of anchor 5 because of minor duplication: the Overview repeats the frontmatter's Anali/framåt examples, the sound-symbolism-transfer caveat appears both in Step 2's Sound check and again in Anti-Patterns, and the compact-table-by-default rule is stated in Step 4 and restated in Anti-Patterns. It is clearly above anchor 3, which would require genuinely unnecessary explanation rather than restatement.

4 / 5

Actionability

For an instruction-only skill the guidance is fully executable: concrete gates ("Are you looking to find a new name, or check one you already have?"), a hard three-constraint rule ("A name that meets only two of the three is not a valid suggestion — drop it and find another"), specific rejection criteria in 3c, a concrete output format spec ("symbol plus 2–4 words", example cells), and a closing verification checklist. Specific examples cover the common cases, matching anchor 5 adapted to instruction-only skills per the rubric's scoring note; nothing is left as vague direction.

5 / 5

Workflow Clarity

Steps 1–5 are clearly sequenced (gather → checks → suggest → present → hand over) with explicit validation checkpoints and feedback loops: the opening find-or-check gate ("ask one question first, and wait for the answer"), the re-validation loop in 3e ("Run every surviving candidate through the Step 2 checks"), the drop-and-retry loop for failed suggestions, the honesty fallback ("If unsure whether a name carries an odd meaning... recommend a native-speaker check"), and the Step 5 checklist. This matches anchor 5's clear sequence with explicit validation, error-recovery loops, and a checklist; the operations are advisory, so no destructive/batch cap applies.

5 / 5

Progressive Disclosure

The in-body structure is good — clear sections and two well-signaled, one-level-deep references with explicit read-when conditions ("read it when a founder asks why", "See Scenario A in references/worked-examples.md"). However, scored against the actual bundle, both referenced files (references/naming-research.md and references/worked-examples.md) do not exist — no references/, scripts/, or assets/ directories are present — so the navigation the body promises fails. This drops it below anchor 4 ('references mostly clear; minor organization gaps'), because the gaps are not minor: two of the skill's depth resources are missing entirely. It sits above anchor 3's example (misplaced inline bulk), but the broken reference structure makes 3 the best fit.

3 / 5

Total

17

/

20

Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: third-person, with an explicit capability statement, concrete and varied trigger phrases, and a well-defined niche. The only things keeping it from full marks on specificity are minor padding (the "even if the person doesn't say the word 'skill'" clause and example illustrations) and capability detail that is implied through triggers rather than stated.

DimensionReasoningScore

Specificity

"Suggest, pick, or vet a business, startup, or product name" lists several concrete actions in a clearly named domain, and trigger phrases imply further capabilities ("spotting bad meanings in other languages", "making a name sound trustworthy in a specific market"). It sits between anchor 3 (only 1-2 concrete actions) and anchor 5 (comprehensive coverage): more actions than 3, but the deeper per-market fit checks and trademark-strength guidance are only implied rather than enumerated as capabilities, so 4 fits best.

4 / 5

Completeness

"What" is explicit ("Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into") and "when" is explicit with concrete trigger phrases ("Use when someone is naming a company, brand, or product...", "Trigger this for any request about choosing a business name, checking if a name 'works' abroad..."). This matches anchor 5 exactly; anchor 4 would require the 'when' to be less explicit or specific, which it is not.

5 / 5

Trigger Term Quality

Natural user phrasings are covered comprehensively with synonyms across the domain: "naming a company, brand, or product", "choosing a business name", "checking if a name 'works' abroad", "spotting bad meanings in other languages", "making a name sound trustworthy in a specific market". This matches anchor 5's comprehensive synonym coverage (business/startup/product/company/brand all present); anchor 4 would require identifiable missing natural terms, and the only near-synonyms not present (e.g. "rebrand") are already subsumed by the explicit 'any request about choosing a business name' clause.

5 / 5

Distinctiveness Conflict Risk

Cross-cultural business-name suggestion and vetting is a clear niche with distinct triggers ("how it lands across languages and regions", "spotting bad meanings in other languages"), unlikely to fire for adjacent skills like brand-guidelines or copywriting, which trigger on identity systems or taglines rather than choosing a name. Matches anchor 5 (clear niche, distinct triggers, minimal conflict risk); anchor 4 would require notable overlap with a closely related skill, and none is apparent.

5 / 5

Total

19

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 3 missing

Warning

Total

15

/

16

Passed

Repository
alirezarezvani/claude-skills
Reviewed

Table of Contents

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