log-debug — community log-debug, codex-skills-test, community, ide skills

v1.0.0

About this Skill

Perfect for Technical Support Agents needing advanced log analysis capabilities to extract root causes and provide concrete next steps. Analyze logs, stack traces, and error output to diagnose issues. Use when asked to debug logs, analyze stack trace, or why is this error happening.

jihyukma123 jihyukma123
[0]
[0]
Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
7/11
Quality Score
38
Canonical Locale
en
Detected Body Locale
en

Perfect for Technical Support Agents needing advanced log analysis capabilities to extract root causes and provide concrete next steps. Analyze logs, stack traces, and error output to diagnose issues. Use when asked to debug logs, analyze stack trace, or why is this error happening.

Core Value

Empowers agents to parse error signals, identify scopes, and form hypotheses to confirm and fix issues, utilizing log data to provide targeted checks and repro steps, all while linking evidence to hypotheses and proposing fix directions with validation steps.

Ideal Agent Persona

Perfect for Technical Support Agents needing advanced log analysis capabilities to extract root causes and provide concrete next steps.

Capabilities Granted for log-debug

Debugging complex system issues
Analyzing error logs to identify root causes
Generating targeted checks for issue reproduction

! Prerequisites & Limits

  • Requires access to log data
  • Limited to text-based log analysis

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is log-debug?

Perfect for Technical Support Agents needing advanced log analysis capabilities to extract root causes and provide concrete next steps. Analyze logs, stack traces, and error output to diagnose issues. Use when asked to debug logs, analyze stack trace, or why is this error happening.

How do I install log-debug?

Run the command: npx killer-skills add jihyukma123/codex-skills-test/log-debug. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for log-debug?

Key use cases include: Debugging complex system issues, Analyzing error logs to identify root causes, Generating targeted checks for issue reproduction.

Which IDEs are compatible with log-debug?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for log-debug?

Requires access to log data. Limited to text-based log analysis.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add jihyukma123/codex-skills-test/log-debug. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use log-debug immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

log-debug

Install log-debug, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Log Debug

Goals

  • Extract the most likely root cause from logs.
  • Link evidence to hypotheses.
  • Provide concrete next steps to confirm and fix.

Workflow

  1. Parse signal: error type, first failure, and context lines.
  2. Identify scope: service/module, request id, time window.
  3. Form hypotheses and rank by likelihood.
  4. Suggest targeted checks or repro steps.
  5. Propose a fix direction and validation step.

Output Format

  • Likely cause: 1–2 sentences.
  • Evidence: quoted log lines or stack frames.
  • Next steps: numbered list of checks.
  • Fix direction: brief recommendation.

Related Skills

Looking for an alternative to log-debug or another community skill for your workflow? Explore these related open-source skills.

View All

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

333.8k
0
AI

widget-generator

Logo of f
f

Generate customizable widget plugins for the prompts.chat feed system

149.6k
0
AI

flags

Logo of vercel
vercel

The React Framework

138.4k
0
Browser

pr-review

Logo of pytorch
pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

98.6k
0
Developer