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BD design-system

Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.

nextlevelbuilder/ui-ux-pro-max-skill Claude Code author: nextlevelbuilder MIT 27 files · 10 scripts body ≈ 1 749 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Token architecture, component specifications, and slide generation.

As a process D 37/100 · Unfinished process — References files that are not bundled: scripts/<file>, assets/design-tokens.json, assets/design-tokens.css

GeneratorDesigntype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
37/100
Unfinished process
References files that are not bundled: scripts/<file>, assets/design-tokens.json, assets/design-tokens.css
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: design-system (nextlevelbuilder/ui-ux-pro-max-skill)

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 27. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/<file>
  • warning missing-ref reference to a missing file: assets/design-tokens.json
  • warning missing-ref reference to a missing file: assets/design-tokens.css
  • warning missing-ref reference to a missing file: assets/css/slide-animations.css

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: scripts/<file>, assets/design-tokens.json, assets/design-tokens.css
  • 0Tools and files. 4 referenced file(s) missing: scripts/<file>, assets/design-tokens.json, assets/design-tokens.css
  • 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
  • 50When it triggers. No condition that starts the skill
  • 85Steps. 19 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1749 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • -33 of 6 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 276: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.