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Debugging Strategies

Checked
herdiansah·vlatest·testing

Analyzes code errors using Herdiansah's proven debugging strategies to identify root causes and suggest effective fixes.

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 herdiansah/antigravity-skills-master --skill debugging-strategies -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

herdiansah

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 herdiansah/antigravity-skills-master at f642a05f9c.

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

Scanned
1 file, 494 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 strategies and techniques for debugging code, helping AI agents identify and resolve errors more effectively. It offers a structured approach to problem-solving, including identifying root causes and implementing fixes. The skill aims to improve the reliability and performance of AI agent applications by minimizing bugs and enhancing overall code quality.

When to use it

  • When an AI agent is producing unexpected or incorrect results.
  • During development cycles to proactively identify and fix potential issues.
  • To troubleshoot errors reported by users interacting with an AI-powered application.
  • After deploying a new version of an AI agent, to ensure stability and prevent regressions.

Key capabilities

  • Debugging strategies
  • Root cause analysis
  • Error identification
  • Fix implementation

Example prompts

  • "I'm getting unexpected output from my chatbot; can you help me debug it?"
  • "My AI agent is crashing when processing large datasets, what debugging steps should I take?"
  • "How do I systematically identify the root cause of this error in my code?"

Tips & gotchas

The skill assumes a basic understanding of programming concepts and common debugging tools. While it provides strategies, practical application requires familiarity with the specific codebase being debugged.