SKILLEMALL.ai

BB webapp-to-capacitor

Plans and executes turning an existing web app, PWA, or SPA into a store-ready Capacitor iOS and Android app. Use when the user wants to wrap a website or PWA as a mobile app, worries about Apple guideline 4.2 minimum functionality or thin-WebView rejection, needs a phased migration plan (static build, Capacitor shell, native UX, plugins, permissions, offline, account deletion, in-app purchase vs web billing, demo account, Play closed testing), or asks what still breaks after the first successful cap sync. Do not use for framework build configuration alone (framework-to-capacitor), Cordova apps (cordova-to-capacitor), final store submission mechanics (capacitor-app-store), or an Apple rejection audit (capacitor-apple-review-preflight).

Cap-go/capgo-skills Agent Skills author: Cap-go 2 files body ≈ 2 478 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Plans and executes turning an existing web app, PWA, or SPA into a store-ready Capacitor iOS and Android app.

As a process B 78/100 · Nearly there — weak spots: inputs and preconditions, running it twice

ProcedureDesignInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
89
Run on models
none yet
Process rating
B
78/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Result and completion w 14
60
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: webapp-to-capacitor (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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Broad scope meta-dynamic-shell SKILL.md:30
      Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
      !`node -e "const fs=require('fs');if(!fs.existsSync('package.json'))process.exit(0);const pkg=JSON.parse(fs.readFileSync('package.json','utf8'));const names=['@capacitor/core','@capacitor/cli','@capac
    • low Broad scope meta-dynamic-shell SKILL.md:33
      Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
      !`find . -maxdepth 4 -not -path '*/node_modules/*' \( -name 'capacitor.config.*' -o -name 'vite.config.*' -o -name 'next.config.*' -o -name 'nuxt.config.*' -o -name 'angular.json' -o -name 'svelte.con

    Files scanned: 2. 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 78/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 8 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 44 steps, 1 vague phrases
    • 100Tools and files. Tools declared in frontmatter
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2478 tokens
    • 100Progress reporting. Reports progress

    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
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 745: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 44 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)

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