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Debugging Strategies

Checked
rmyndharis·vlatest·testing·MIT

Analyzes code errors & suggests targeted debugging strategies based on common patterns and rmyndharis's expertise.

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 rmyndharis/antigravity-skills --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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Scanned
2 files, 515 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 a structured approach to debugging AI agent behavior. It offers strategies for identifying the root cause of unexpected actions, analyzing error messages, and suggesting potential solutions based on common failure patterns. The skill aims to improve agent reliability and predictability by guiding users through a methodical troubleshooting process.

When to use it

  • When an AI agent consistently produces incorrect or undesirable outputs.
  • After receiving error messages from an AI agent that are difficult to understand.
  • To systematically investigate unexpected behavior in complex AI workflows.
  • During the development and testing phases of AI agents, to proactively address potential issues.

Key capabilities

  • Root cause analysis
  • Error message interpretation
  • Suggestion of common failure patterns
  • Provides solutions based on identified problems

Example prompts

  • "My agent is consistently generating incorrect summaries. Can you help me debug it?"
  • "I'm seeing this error: 'TypeError: Cannot read property'. What could be causing this?"
  • "The AI agent isn’t following the instructions correctly, what debugging strategies can I use?"

Tips & gotchas

This skill is most effective when provided with specific details about the agent's behavior and any associated error messages. A general description of a problem may yield less helpful results.