SKILLEMALL.ai

AC capacitor-plugin-spm-support

Adds Swift Package Manager support to an existing Capacitor plugin repository so apps using CapApp-SPM can consume it after CocoaPods Trunk goes read-only (expected December 2, 2026). Covers root Package.swift naming rules the Capacitor CLI depends on, CAPBridgedPlugin conversion (identifier, jsName, pluginMethods), removing the ObjC CAP_PLUGIN bridge (.m/.h), Sources/Tests layout, podspec and package.json files updates, third-party pod to SPM dependency mapping, resources/PrivacyInfo.xcprivacy, binary xcframeworks, and Capacitor 9 removal of the unconditional Cordova product. Use when app sync warns "<plugin> does not have a Package.swift" for a plugin you own, or "plugin is not implemented on ios" only in SPM apps. Do not use for migrating an app project (use cocoapods-to-spm), version bumps of plugins (use capacitor-plugin-upgrades / capacitor-plugin-upgrade-v8-to-v9), or choosing plugins (use capacitor-plugins).

Cap-go/capgo-skills Agent Skills author: Cap-go 3 files body ≈ 1 827 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Adds Swift Package Manager support to an existing Capacitor plugin repository so apps using CapApp-SPM can consume it after CocoaPods Trunk goes read-only…

As a process C 58/100 · Has gaps — 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
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
58/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: capacitor-plugin-spm-support (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: 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 58/100

    • 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. 12 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 100Steps. 21 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 1827 tokens
    • low The response is described with custom markup (15 tags): a typed call is more reliable

    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 929: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

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