AC gmira
Use when building, redesigning, or reviewing a website or web surface that must not look generated. Covers landing pages, e-commerce (PLP, PDP, cart, checkout), car and vehicle inventory sites, course and cohort school pages, portfolios, dashboards, and marketing sites. Handles visual direction, WebGL and canvas effects, shadcn registry components, scroll choreography, typography, color, motion, empty and error states, accessibility, performance budgets, and multi-viewport visual verification. Also use when a page came out bland, templated, or "AI-looking" and needs a real direction, or when an installed registry component renders wrong.
Covers landing pages, e-commerce (PLP, PDP, cart, checkout), car and vehicle inventory sites, course and cohort school pages, portfolios, dashboards, and…
As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 61/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 9 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1410 tokens
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
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 645: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.