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Debugging Techniques

Checked
ancoleman·vlatest·testing·MIT

Suggests targeted debugging techniques based on error messages and code context to accelerate issue resolution.

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 ancoleman/ai-design-components --skill debugging-techniques -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

ancoleman

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 ancoleman/ai-design-components at 76551b7b19.

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

Commit
76551b7b19
Manifest
skills/debugging-techniques/SKILL.md
Scanned
10 files, 3,848 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 techniques for identifying and resolving errors in code or processes. It helps analyze error messages, trace execution flow to pinpoint problematic areas, and suggests potential fixes based on common debugging strategies. The goal is to improve the reliability and accuracy of AI agent outputs by addressing underlying issues.

When to use it

  • Unexpected Agent Behavior: When an AI agent consistently produces incorrect or illogical results.
  • Error Message Analysis: To understand complex error messages and determine their root cause.
  • Process Troubleshooting: When a multi-step process performed by the agent fails intermittently.
  • Code Refinement: To identify bugs in custom code integrated into an AI agent's workflow.

Key capabilities

  • Error message analysis
  • Execution flow tracing
  • Suggestion of potential fixes
  • Identification of problematic areas

Example prompts

  • "Analyze this error message: 'TypeError: Cannot read property 'name' of undefined'"
  • "Trace the execution flow for my agent's order processing function and identify why it's failing."
  • "I'm getting inconsistent results from my data extraction script. Can you suggest debugging steps?"

Tips & gotchas

The skill’s effectiveness depends on providing clear error messages or detailed descriptions of the problematic behavior. Complex codebases may require more context for accurate diagnosis and suggestions.