arn-spark-naming
This skill should be used when the user says "naming", "brand name", "name my product", "find a name", "product naming", "brand naming", "what should I call it", "name ideas", "pick a name", "naming session", "help me name this", "brainstorm names", "come up with a name", "arn spark naming", "arn-spark-naming", or wants to find a brand name for their product through strategic analysis, creative generation, qualitative scoring, and due diligence including domain availability and trademark screening.
89
87%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This description excels at trigger term coverage and completeness, providing an exhaustive list of natural phrases that would help Claude select this skill accurately. The main weakness is that the capability description leans slightly abstract ('strategic analysis', 'creative generation') rather than listing fully concrete actions. The long list of trigger phrases, while thorough, borders on verbose and could be more concisely organized.
Suggestions
Replace abstract terms like 'strategic analysis' and 'creative generation' with more concrete actions, e.g., 'Analyzes target audience and competitive landscape, generates candidate brand names, scores them on memorability and distinctiveness, checks domain availability and screens for trademark conflicts.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description mentions 'strategic analysis, creative generation, qualitative scoring, and due diligence including domain availability and trademark screening' which names several actions, but they are somewhat abstract and not fully concrete (e.g., what does 'strategic analysis' entail specifically?). | 2 / 3 |
Completeness | The description explicitly answers both 'what' (find a brand name through strategic analysis, creative generation, qualitative scoring, due diligence including domain availability and trademark screening) and 'when' (with a comprehensive list of trigger phrases and the general condition 'wants to find a brand name for their product'). | 3 / 3 |
Trigger Term Quality | The description includes an extensive list of natural trigger phrases users would actually say, such as 'name my product', 'brainstorm names', 'what should I call it', 'name ideas', 'brand name', and many variations. This provides excellent coverage of how users would naturally phrase their requests. | 3 / 3 |
Distinctiveness Conflict Risk | The skill occupies a clear niche around product/brand naming with very specific triggers. It is unlikely to conflict with other skills since the combination of naming, domain availability, and trademark screening is highly distinctive. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-architected skill that guides a complex multi-step naming process with clear sequencing, explicit user gates, robust error handling, and good progressive disclosure to reference files. The actionability is excellent with concrete commands, JSON formats, and specific agent invocation patterns. The main weakness is moderate verbosity in some sections (particularly the WHOIS/domain checking details) that could be tightened without losing clarity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is quite long (~300 lines) but most content is genuinely necessary for a complex multi-step workflow. Some areas could be tightened — the WHOIS environment detection explanation, the note about system whois not being required, and the domain list construction section are somewhat verbose. However, it avoids explaining basic concepts Claude already knows. | 2 / 3 |
Actionability | Highly actionable throughout: concrete bash commands for script execution, specific JSON input formats, exact file paths with variables, precise agent invocation modes, specific TLD lists per market, exact AskUserQuestion prompts with numbered options, and clear templates referenced by path. Nearly every instruction is directly executable. | 3 / 3 |
Workflow Clarity | Excellent multi-step sequencing with clear numbered steps (0-4), explicit validation checkpoints (user approval gates, resume detection, circuit breaker for WHOIS), feedback loops (Round 4 user collaboration loop, iterate until satisfaction), error recovery paths for each failure mode, and a summary agent invocation map table. The resume mechanism via '-- Pending --' markers is a strong recovery pattern. | 3 / 3 |
Progressive Disclosure | Well-structured with clear references to external files: creative-brief-template.md, naming-methodology.md, whois-server-map.md, trademark-databases.md, naming-report-template.md, and scripts. All references are one level deep and clearly signaled with '> Read' directives. The main SKILL.md serves as an orchestration overview while detailed content lives in referenced files. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- AppsVortex/arness
- Commit
1fe948f
- Reviewed
Table of Contents
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