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AB capacitor-keyboard

Fixes on-screen keyboard behavior in Capacitor apps with @capacitor/keyboard - iOS `resize` modes (`native` default, `body`, `ionic`, `none`), `keyboardWillShow`/`keyboardDidShow` heights, `setAccessoryBarVisible`, `setScroll`, `style` (`DARK`/`LIGHT`/`DEFAULT`), `autoBackdropColor` (8.0.4+), Android edge-to-edge/SystemBars interaction (drop legacy `resizeOnFullScreen` on Capacitor 8), iOS 26 fixes, and iOS input auto-zoom. Use when inputs are hidden behind the keyboard, the WebView jumps or leaves a white/black gap above the keyboard, fixed footers float mid-screen, `vh` layouts shrink, or keyboard events do not fire. Do not use for general safe-area/notch padding (safe-area-handling), Ionic component styling (ionic-design), or form accessibility (capacitor-accessibility).

Cap-go/capgo-skills Agent Skills author: Cap-go 2 files body ≈ 1 847 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Fixes on-screen keyboard behavior in Capacitor apps with @capacitor/keyboard - iOS resize modes (native default, body, ionic, none)…

As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureMarketingtype 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
65/100
Nearly there
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
This is a copy of a skill from another catalog; the rating counts the canonical one: capacitor-keyboard (Cap-go/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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 118): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 65/100

    • 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. 5 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 30 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1847 tokens
    • low 10 top-level sections: this looks like several domains in one skill

    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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 784: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.