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Axiom Swiftui Debugging Diag

Checked
fotescodev·vlatest·frontend·MIT

Helps with SwiftUI, debugging as part of building frontend UIs and user experiences workflows.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add fotescodev/ios-agent-skills --skill axiom-swiftui-debugging-diag -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

fotescodev

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 fotescodev/ios-agent-skills at 65b1718bf4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 799 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides debugging and diagnostic capabilities for SwiftUI applications built with the Axiom framework. It can analyze code, identify potential issues like layout problems or data binding errors, and suggest solutions to improve app stability and performance. The tool helps developers quickly pinpoint and resolve complex bugs within their iOS projects.

When to use it

  • Troubleshooting unexpected UI behavior in a SwiftUI application.
  • Diagnosing crashes or freezes during development or testing.
  • Identifying performance bottlenecks related to view rendering or data updates.
  • Analyzing error messages and stack traces for root cause analysis.

Key capabilities

  • SwiftUI code analysis
  • Layout problem detection
  • Data binding error identification
  • Crash/freeze diagnostics
  • Performance bottleneck analysis

Example prompts

  • "Analyze this SwiftUI view and identify any potential layout issues: [paste code snippet]"
  • "I'm seeing a crash in my app. Can you analyze the stack trace and suggest possible causes? [paste stack trace]"
  • "This view is rendering slowly. What optimizations can I apply to improve performance?"

Tips & gotchas

The skill requires access to the relevant SwiftUI code or error logs for accurate analysis. Ensure that the provided code snippets are complete and representative of the problem area.