SKILLEMALL.ai

AB capacitor-uiscene-migration

Migrates a Capacitor iOS app or plugin from the AppDelegate lifecycle to the UIScene lifecycle introduced in Capacitor 8.5 and required by Xcode 27. Audits first (custom AppDelegate URL/lifecycle code, CAPBridgeViewController subclasses, existing SceneDelegate.swift, Info.plist UIApplicationSceneManifest, project.pbxproj registration, plugin lifecycle observers, tmpWindow/TmpViewController), reports, then merges surgically or hands template-shaped projects to `npx cap migrate`. Use for "Capacitor 8.5 upgrade", "add SceneDelegate", "adopt UIScene", "CLIENT OF UIKIT REQUIRES UPDATE", deep links or appUrlOpen stopped firing after 8.5, "cap migrate skipped partial state", or as the prerequisite step before Capacitor 9. Do not use for Android, full major upgrades (use capacitor-app-upgrade-v8-to-v9), or new deep-link setup (use capacitor-deep-linking).

Cap-go/capgo-skills Agent Skills author: Cap-go 6 files body ≈ 2 405 tokens Open the sourcegithub.com↗ analyzed 8 h ago

Migrates a Capacitor iOS app or plugin from the AppDelegate lifecycle to the UIScene lifecycle introduced in Capacitor 8.5 and required by Xcode 27. Audits…

As a process B 67/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
99
Quality 40%
94
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: capgo-skills, 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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Broad scope meta-dynamic-shell SKILL.md:34
      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 out=[];for(const s of ['dependencies','devDepende

    Files scanned: 6. 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 67/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 11 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 48 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 2405 tokens
    • 100Progress reporting. Reports progress
    • 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

    • +3Description length 859: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 48 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.