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Error Diagnostics Smart Debug

Listed
sickn33·vlatest·testing·MIT

Automatically identifies root causes of test failures, suggests fixes, and accelerates debugging workflows.

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 sickn33/agentic-awesome-skills --skill error-diagnostics-smart-debug -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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Commit
5a4cdd9df8
Manifest
skills/error-diagnostics-smart-debug/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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What each check looks for →

About this skill

What it does

The Error Diagnostics Smart Debug skill assists in identifying and resolving root causes of test failures and errors. It leverages AI-powered analysis to examine error messages, stack traces, reproduction steps, and other relevant data. The skill then generates ranked hypotheses for the cause of the issue, recommends debugging strategies, and suggests optimal instrumentation locations like breakpoints or logpoints.

When to use it

  • When working on error diagnostics tasks.
  • When needing guidance or best practices for debugging workflows.
  • For analyzing production issues where observability data (logs, traces, metrics) is available.
  • To accelerate debugging by generating ranked hypotheses and suggesting testing approaches.

Key capabilities

  • Error Pattern Recognition: Identifies common error patterns in stack traces.
  • Component Dependency Analysis: Analyzes dependencies between components to pinpoint potential failure points.
  • Hypothesis Generation: Generates 3-5 ranked hypotheses for the root cause of an issue, including probability scores and falsification criteria.
  • Debugging Strategy Recommendation: Suggests appropriate debugging strategies (interactive, observability-driven, time-travel, chaos engineering, statistical).
  • Intelligent Instrumentation: Recommends optimal locations for breakpoints and logpoints.
  • Observability Data Integration: Can integrate with error tracking tools (Sentry, Rollbar, Bugsnag), APM platforms (DataDog, New Relic, Dynatrace), tracing systems (Jaeger, Zipkin, Honeycomb), log aggregation tools (ELK, Splunk, Loki) and session replay tools (LogRocket, FullStory).

Example prompts

  • "Analyze this error message and stack trace: [paste error information here]"
  • "What are the likely causes of these intermittent failures in production?"
  • "Suggest a debugging strategy for an issue affecting user cohort X."

Tips & gotchas

  • Provide clear goals, constraints, and required inputs to guide the skill's analysis.
  • The skill is specifically designed for error diagnostics; it’s not suitable for unrelated tasks or using tools outside its scope.
  • For detailed implementation guidance, refer to the resources/implementation-playbook.md file.