SKILLEMALL.ai

AC capacitor-splash-screen

Configures and debugs launch splash screens in Capacitor apps with @capacitor/splash-screen and @capacitor/assets - `launchAutoHide`, `SplashScreen.hide()`, `launchFadeOutDuration` (Android default changed 200 -> 0 in Capacitor 9), Android 12+ SplashScreen API theme (`Theme.SplashScreen`, `windowSplashScreenAnimatedIcon`), iOS `LaunchScreen.storyboard` + `Splash.imageset`, and Capacitor 8.5 UIScene/SceneDelegate effects (window created in code, Main.storyboard no longer supplies the root view controller). Use for white/black flash at launch, splash never hiding, cropped/tiny Android 12 icon, dark-mode splash, or regenerating icons and splash assets. Do not use for status/navigation bar color and insets (safe-area-handling), the UIScene migration itself (capacitor-uiscene-migration), or startup performance profiling (capacitor-performance).

Cap-go/capgo-skills Agent Skills author: Cap-go 3 files body ≈ 1 976 tokens Open the sourcegithub.com↗ analyzed 8 h ago

Configures and debugs launch splash screens in Capacitor apps with @capacitor/splash-screen and @capacitor/assets - launchAutoHide, SplashScreen.hide()…

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureMedia and videoSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
56/100
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 56/100

    • 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
    • 30Running it twice. 7 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 85Steps. 33 steps, 2 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 1976 tokens
    • high The skill tells the model to perform an irreversible action with no human approval

    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 851: 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: 33 items
    • +4Has examples (3 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.