SKILLEMALL.ai

BD clawlite-design-consult

中文:高级产品设计系统顾问,具备强观点但可解释的设计决策能力。支持先导式需求澄清、系统化设计输出,生成 DESIGN.md 与 CLAUDE.md 设计章节,提升视觉系统一致性与产品体验。 日本語:鋭い視点のあるデザインコンサルタント。要件を引き出し、設計判断を説明可能な形で提示し、DESIGN.mdとCLAUDE.mdの設計章を生成。プロダクトデザインの一貫性を高める。 한국어:강력한 의견을 바탕으로 한 제품 디자인 컨설턴트로, 요구를 정리하고 설계 근거를 설명하며 DESIGN.md/CLAUDE.md(설계 장)를 생성해 일관된 디자인 시스템과 UX를 정렬합니다. Español:Consultor de diseño de producto con criterio fuerte y argumentado. Clarifica problemas, propone decisiones de diseño y genera DESIGN.md + sección de diseño en CLAUDE.md para construir un sistema coherente de experiencia y marca.

ClawHub Agent Skills author: X-RayLuan v1.0.0 MIT-0 2 files body ≈ 1 153 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1153 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 533: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill is a design-consulting helper that reads project context and creates design documentation, with expected preview and file-writing behavior users should review.
LLM: benign (high) · VirusTotal: · 29 May 2026