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AC capacitor-plugins

Pick, install, and wire up Capacitor plugins for native features (camera, filesystem, geolocation, biometrics, in-app purchases, social login, SQLite, calendar, contacts, health, BLE, NFC, etc.). Covers official @capacitor/* packages (Capacitor 8.5 stable, 9 alpha on next) plus the 145-package @capgo/* index, native permission keys (Info.plist, AndroidManifest, variables.gradle minSdk), npx cap sync / cap ls verification, and errors like '"Camera" plugin is not implemented on ios', 'unable to find plugin', UNIMPLEMENTED, and OS-PLUG-* codes. Use for "which plugin should I use for X", adding a plugin, or a plugin call failing after install. Do not use for push setup (capacitor-push-notifications), splash assets (capacitor-splash-screen), keyboard layout (capacitor-keyboard), deep links (capacitor-deep-linking), OTA updates (capgo-live-updates), upgrading plugin source code (capacitor-plugin-upgrades), or adding SPM to a plugin (capacitor-plugin-spm-support).

Cap-go/capgo-skills Agent Skills author: Cap-go 43 files body ≈ 2 910 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Pick, install, and wire up Capacitor plugins for native features (camera, filesystem, geolocation, biometrics, in-app purchases, social login, SQLite…

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureGitHubFirebaseSoftware developmentPersonal productivitytype 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
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
50
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-plugins (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: 43. 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 132): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 63/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 100Steps. 38 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 2910 tokens
    • 100Running it twice. Mutating operations check current state
    • 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

    • +3Description length 971: 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: 38 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (41 of 41)

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