Name: arn-spark-naming
Rating: 74.4 (1 reviews)
Author: AppsVortex

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.

Quality

92%

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Securityby

Low

Low-risk findings worth noting

Quality

Content

85%Weight 40%Scale 1-3

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

The content is a well-structured, highly actionable multi-step workflow with strong validation and clean progressive disclosure into real bundle files. Its main weakness is conciseness, driven by a repeated dispatch-convention parenthetical and a redundant agent-invocation table.

Suggestions

State the agent dispatch convention (model from .arness/agent-models/spark.md with the ensure-config fallback) once near the top, then reference it tersely in Steps 1, 3, and 4c instead of repeating the full parenthetical three times.

Trim or remove the Agent Invocation Map table, or fold it into each step, since it duplicates the per-step agent/mode/purpose information already given inline.

Consolidate the two 'How it works / Note' paragraphs in Step 4a into a single concise line, since the scripts' fallback chain is operational detail that the script already handles automatically.

Dimension	Reasoning	Score
Conciseness	The body is mostly lean and procedural, but the '(see ... Dispatch convention for fallback)' parenthetical is repeated verbatim three times and the Agent Invocation Map restates details already in the steps, so it could be tightened.	2 / 3
Actionability	Provides fully executable guidance — the exact `echo '{...}' \| python3 .../whois-check.py` invocation, WebSearch query templates, and concrete AskUserQuestion prompts with enumerated options — that is copy-paste ready.	3 / 3
Workflow Clarity	A clear 4-step sequence with explicit validation for the batch WHOIS operation (circuit breaker, exit-code-1 handling, checked-vs-unchecked reporting) and feedback loops in the Error Handling section.	3 / 3
Progressive Disclosure	The SKILL.md is an overview that signals one-level-deep references to real bundle files (templates, methodology, whois-server-map, trademark-databases, scripts) via `> Read` blockquotes, with content appropriately split out of the body.	3 / 3
	Total	11 / 12 Passed

Description

100%Weight 40%Scale 1-3

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

The description is specific, trigger-rich, and complete, clearly stating both what the skill does and when to invoke it in third-person voice. Its only weakness is verbosity from enumerating many near-synonymous trigger phrases.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'strategic analysis, creative generation, qualitative scoring, and due diligence including domain availability and trademark screening' — rather than vague language.	3 / 3
Completeness	Explicitly answers both what (find a brand name through the listed analyses) and when ('should be used when the user says...'), with explicit trigger guidance, so it is not capped at 2.	3 / 3
Trigger Term Quality	Covers a wide range of natural phrases users would say ('naming', 'brand name', 'name my product', 'brainstorm names', 'come up with a name'), giving strong trigger coverage.	3 / 3
Distinctiveness Conflict Risk	Targets a clear niche (product/brand naming) with distinctive triggers and ecosystem-specific names ('arn spark naming'), making conflict with other skills unlikely.	3 / 3
	Total	12 / 12 Passed

Validation

93%

Warnings & errors only

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

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: AppsVortex/arness
Path: plugins/arn-spark/skills/arn-spark-naming/SKILL.md
Commit: 7f87870

Reviewed: 14 days ago

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