Capacitor Plugins logo

Capacitor Plugins

Organization
Cap-go
capacitor-plugins

Official Capacitor package guide plus Capgo ecosystem plugin recommendations. Use this skill when users need native functionality, want the right official Capacitor package, or need a stronger Capgo/community plugin when the official package is missing or too limited.

Overview

PublisherCap-go
Repositorycapgo-skills
Skill namecapacitor-plugins
Stars
71
Forks
4
Bundled files
37
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 37 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Cap-go on GitHub. Read the source before you install it.

Installation

Install the Capacitor Plugins AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Cap-go/capgo-skills.git /tmp/capgo-skills
mkdir -p .claude/skills
cp -r /tmp/capgo-skills/plugins/capacitor-core/skills/capacitor-plugins .claude/skills/capacitor-plugins
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Capacitor Plugins in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Capacitor Plugins on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Capacitor Plugins is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Capacitor Plugins Directory

This skill covers both official Capacitor packages and the broader Capgo plugin ecosystem.

When to Use This Skill

  • User asks "which plugin should I use for X?"
  • User needs native functionality (camera, biometrics, payments, etc.)
  • User is building a new Capacitor feature
  • User wants to compare plugin options

Decision Process

Step 1: Check for an Official Capacitor Package First

If the feature exists in the official Capacitor package set, use that as the default recommendation unless the user has a concrete gap the official package does not cover.

Open the matching file in references/ before answering:

  • capacitor-action-sheet.md
  • capacitor-app-launcher.md
  • capacitor-app.md
  • capacitor-background-runner.md
  • capacitor-barcode-scanner.md
  • capacitor-browser.md
  • capacitor-camera.md
  • capacitor-clipboard.md
  • capacitor-cookies.md
  • capacitor-device.md
  • capacitor-dialog.md
  • capacitor-file-transfer.md
  • capacitor-file-viewer.md
  • capacitor-filesystem.md
  • capacitor-geolocation.md
  • capacitor-google-maps.md
  • capacitor-haptics.md
  • capacitor-http.md
  • capacitor-inappbrowser.md
  • capacitor-keyboard.md
  • capacitor-local-notifications.md
  • capacitor-motion.md
  • capacitor-network.md
  • capacitor-preferences.md
  • capacitor-privacy-screen.md
  • capacitor-push-notifications.md
  • capacitor-screen-orientation.md
  • capacitor-screen-reader.md
  • capacitor-share.md
  • capacitor-splash-screen.md
  • capacitor-status-bar.md
  • capacitor-system-bars.md
  • capacitor-text-zoom.md
  • capacitor-toast.md
  • capacitor-watch.md

These references already contain the install flow, setup notes, and common gotchas for the official packages.

Step 2: Escalate to Capgo or Community Plugins When Needed

Recommend a Capgo or community plugin when:

  • no official Capacitor package exists
  • the official package is too limited for the requested behavior
  • the user needs a hosted Capgo workflow around the plugin
  • the user is migrating away from Ionic Enterprise or older community plugins

Open references/capgo-plugin-catalog.md before recommending a Capgo plugin. The catalog is generated from real package metadata and covers every canonical @capgo/* Capacitor plugin package found in the local Capgo plugin workspace.

When recommending a non-official plugin, explain why it is a better fit than the official option and include the exact package name from the catalog.

Capgo Plugin Catalog

Use references/capgo-plugin-catalog.md as the complete Capgo plugin source. It includes package names, descriptions, and source links for 139 Capgo Capacitor plugin packages.

Fast starting points:

NeedPackage
Live updates@capgo/capacitor-updater
Background geolocation@capgo/background-geolocation
Camera overlay preview@capgo/camera-preview
Social sign-in@capgo/capacitor-social-login
Biometrics@capgo/capacitor-native-biometric
In-app purchases@capgo/native-purchases
Native SQLite performance@capgo/capacitor-fast-sql
Native file operations@capgo/capacitor-file
File picking@capgo/capacitor-file-picker
Native payments@capgo/capacitor-pay
Push-safe WebView recovery@capgo/capacitor-webview-guardian
App integrity checks@capgo/capacitor-app-attest

Installation

For official Capacitor packages, follow the package-specific instructions from references/.

For Capgo plugins, install the exact package from references/capgo-plugin-catalog.md:

bash
npm install <exact-package-name>
npx cap sync

Choosing the Right Plugin

Prefer Official Capacitor For

  • app lifecycle, browser, camera, clipboard, device, dialog
  • filesystem, geolocation, haptics, keyboard, network
  • notifications, share sheet, splash screen, status bar

For Authentication

  • Biometric login: Use @capgo/capacitor-native-biometric
  • Social sign-in: Use @capgo/capacitor-social-login
  • Password autofill: Use @capgo/capacitor-autofill-save-password

For Media

  • Camera with overlay: Use @capgo/camera-preview
  • Simple photo access: Use @capgo/capacitor-photo-library
  • Video playback: Use @capgo/capacitor-video-player
  • Document scanning: Use @capgo/capacitor-document-scanner

For Payments

  • Subscriptions/IAP: Use @capgo/native-purchases
  • Apple Pay/Google Pay: Use @capgo/capacitor-pay

For Live Updates

  • Production OTA: Use @capgo/capacitor-updater
  • Development hot reload: Use @capgo/capacitor-live-reload

For Native SQL Storage

  • Encrypted SQL, large result sets, high write throughput: Use @capgo/capacitor-fast-sql
  • Migrating from another SQL plugin: Use the sqlite-to-fast-sql skill

Resources

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Capacitor Plugins AI skill do?

Official Capacitor package guide plus Capgo ecosystem plugin recommendations. Use this skill when users need native functionality, want the right official Capacitor package, or need a stronger Capgo/community plugin when the official package is missing or too limited.

Why use Capacitor Plugins on TypingMind?

Because you install it once and use it with any model. Capacitor Plugins is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Capacitor Plugins in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Cap-go/capgo-skills/tree/main/plugins/capacitor-core/skills/capacitor-plugins. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Capacitor Plugins?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Capacitor Plugins?

As many as you like. As long as a model supports skills, you can use Capacitor Plugins with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Capacitor Plugins AI skill free?

It is published on GitHub by Cap-go. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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