Debugging Capacitor
CheckedAutomatically identifies and suggests fixes for capacitor-related circuit errors in simulations and designs.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add cap-go/capgo-skills --skill debugging-capacitor -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
cap-go
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned cap-go/capgo-skills at bc99163045.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- bc99163045
- Scanned
- 14 files, 818 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill enables AI agents to diagnose and resolve runtime errors within Capacitor-based mobile applications. It specifically targets issues arising from the bridge between web views and native platforms, allowing agents to analyze logs and suggest fixes for crashes or unresponsive UI elements.
When to use it
- Your app is crashing on iOS or Android builds but runs fine in the development environment.
- You need to identify why a specific Capacitor plugin fails to initialize on a physical device.
- Debugging complex state mismatches between the web content and native Cordova/Android/iOS layers.
Key capabilities
- Analyzes Capacitor-specific error logs and stack traces.
- Identifies bridge communication failures between JavaScript and native code.
- Suggests configuration fixes for
capacitor.config.tsorconfig.xml. - Pinpoints issues related to plugin version incompatibilities.
Example prompts
- "Analyze this Capacitor crash log showing a 'Java heap space' error on Android 14 and suggest the necessary JVM arguments."
- "Why is my Capacitor app failing to load the camera plugin on iOS? The web view works, but the native interface never appears."
- "Debug a runtime error where the
@capacitor/preferencesplugin returns 'undefined' after an app update."
Tips & gotchas
Ensure you provide raw console output or specific error codes when asking for help, as generic descriptions often lack the context needed to pinpoint bridge issues. This skill is strictly limited to Capacitor projects; it cannot debug standard Cordova apps or pure web applications without a native wrapper.