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Debugging Troubleshooting 2025

Checked
josiahsiegel·vlatest·testing·MIT

Automatically identifies and suggests fixes for software bugs using advanced 2025 AI debugging techniques.

Repository

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 josiahsiegel/claude-plugin-marketplace --skill debugging-troubleshooting-2025 -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

josiahsiegel

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 josiahsiegel/claude-plugin-marketplace at 5a1b1123b9.

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

Commit
5a1b1123b9
Manifest
plugins/bash-master/skills/debugging-troubleshooting-2025/SKILL.md
Scanned
1 file, 644 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 enables AI agents to systematically identify, analyze, and resolve software defects by interpreting error logs, stack traces, and system behaviors. It assists developers in isolating root causes across various programming environments without requiring manual code inspection for every anomaly.

When to use it

  • Your application crashes unexpectedly during runtime and you need immediate log analysis.
  • A specific feature returns incorrect data or fails silently in production environments.
  • You are integrating a new library and encountering unexplained dependency conflicts.
  • Performance metrics degrade, and you require automated diagnostics to pinpoint bottlenecks.

Key capabilities

  • Parses complex error messages and stack traces from diverse languages like Python, JavaScript, and Java.
  • Correlates symptoms with known issues in open-source repositories and documentation.
  • Generates step-by-step remediation plans including code fixes or configuration changes.
  • Simulates edge cases to verify if a proposed solution resolves the underlying logic flaw.

Example prompts

"Analyze this stack trace from my Node.js server and explain why the database connection is timing out." "I'm getting a 500 error on my React frontend; help me debug the API integration based on these console logs." "My Python script fails when processing large CSV files. Suggest optimizations or fixes to handle memory constraints."

Tips & gotchas

Ensure you provide complete context, including relevant code snippets and full error messages, as partial logs may lead to generic advice. This skill works best for syntax errors and logical flaws but may struggle with hardware-specific issues or ambiguous business logic requirements.