SKILLEMALL.ai
GitHub ↗ RU Sign in

AC konsta-ui

Builds Capacitor app UI with Konsta UI v5 (Tailwind CSS v4-based iOS and Material components for React 19, Vue 3, Svelte 5) - CSS-first setup (`@import 'tailwindcss'; @import 'konsta/react/theme.css';`), `--color-brand-*` colors in `@theme`, `<App theme="ios|material|parent" safeAreas dark>`, `KonstaProvider` when mixing with Ionic, `ios:`/`material:` variants, `pt-safe`/`no-safe-areas` utilities, `k-md-vibrant`/`k-md-monochrome`, and migrating from Konsta v3/v4 `konstaConfig` in `tailwind.config.js`. Use when installing or upgrading Konsta, components render unstyled, theme or dark mode does not switch, or Navbar/Tabbar overlap system bars. Do not use for Ionic components (ionic-design), plain Tailwind setup without Konsta (tailwind-capacitor), or native safe-area/edge-to-edge config (safe-area-handling).

Cap-go/capgo-skills Agent Skills author: Cap-go 3 files body ≈ 1 579 tokens Open the sourcegithub.com↗ analyzed 8 h ago

Builds Capacitor app UI with Konsta UI v5 (Tailwind CSS v4-based iOS and Material components for React 19, Vue 3, Svelte 5) - CSS-first setup (@import…

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

GeneratorMarketingtype 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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: capgo-skills

How to improve

    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: 3. 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 59/100

    • 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
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 85Steps. 29 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1579 tokens
    • 100Running it twice. Mutating operations check current state

    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
    • +3Description length 817: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.