Debugging Strategies
CheckedAnalyzes 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
Run this in your project
terminal$ npx skills add herdiansah/antigravity-skills-master --skill debugging-strategies -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
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.
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 herdiansah/antigravity-skills-master at f642a05f9c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f642a05f9c
- Scanned
- 1 file, 494 lines
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.