ck:debug

SkillDatabases & data

Debug systematically with root cause analysis before fixes. Use for bugs, test failures, unexpected behavior, performance issues, call stack tracing, multi-layer validation, log analysis, CI/CD failures, database diagnostics, system investigation.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the ck:debug skill

What this skill tells your AI

The instructions your AI receives, as published by manhvann/codexkit in .agents/skills/debug/SKILL.md and read by ahel’s review.

Comprehensive framework combining systematic debugging, root cause tracing, defense-in-depth validation, verification protocols, and system-level investigation (logs, CI/CD, databases, performance).

Core Principle

NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST

Random fixes waste time and create new bugs. Find root cause, fix at source, validate at every layer, verify before claiming success.

When to Use

Code-level: Test failures, bugs, unexpected behavior, build failures, integration problems System-level: Server errors, CI/CD pipeline failures, performance degradation, database issues, log analysis Always: Before claiming work complete

Techniques

1. Systematic Debugging (references/systematic-debugging.md)

Four-phase framework: Root Cause Investigation → Pattern Analysis → Hypothesis Testing → Implementation. Complete each phase before proceeding. No fixes without Phase 1.

Load when: Any bug/issue requiring investigation and fix

2. Root Cause Tracing (references/root-cause-tracing.md)

Trace bugs backward through call stack to find original trigger. Fix at source, not symptom. Includes scripts/find-polluter.sh for bisecting test pollution.

Load when: Error deep in call stack, unclear where invalid data originated

3. Defense-in-Depth (references/defense-in-depth.md)

Validate at every layer: Entry validation → Business logic → Environment guards → Debug instrumentation

Load when: After finding root cause, need comprehensive validation

4. Verification (references/verification.md)

Iron law: NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE. Run command. Read output. Then claim result.

Load when: About to claim work complete, fixed, or passing

5. Investigation Methodology (references/investigation-methodology.md)

Five-step structured investigation for system-level issues: Initial Assessment → Data Collection → Analysis → Root Cause ID → Solution Development

Load when: Server incidents, system behavior analysis, multi-component failures

6. Log & CI/CD Analysis (references/log-and-ci-analysis.md)

Collect and analyze logs from servers, CI/CD pipelines (GitHub Actions), application layers. Tools: gh CLI, structured log queries, correlation across sources.

Load when: CI/CD pipeline failures, server errors, deployment issues

7. Performance Diagnostics (references/performance-diagnostics.md)

Identify bottlenecks, analyze query performance, develop optimization strategies. Covers database queries, API response times, resource utilization.

Load when: Performance degradation, slow queries, high latency, resource exhaustion

8. Reporting Standards (references/reporting-standards.md)

Structured diagnostic reports: Executive Summary → Technical Analysis → Recommendations → Evidence

Load when: Need to produce investigation report or diagnostic summary

9. Task Management (references/task-management-debugging.md)

Track investigation pipelines via runtime task tools when available. Hydration pattern for multi-step investigations with dependency chains and parallel evidence collection.

Load when: Multi-component investigation (3+ steps), parallel log collection, coordinating debugger subagents

10. Frontend Verification (references/frontend-verification.md)

Visual verification of frontend implementations via Chrome MCP (Codex Chrome Extension) or ck:chrome-devtools skill fallback. Detect if frontend-related → check Chrome MCP availability → screenshot + console error check → report. Skip if not frontend.

Load when: Implementation touches frontend files (tsx/jsx/vue/svelte/html/css), UI bugs, visual regressions

Quick Reference

Code bug       → systematic-debugging.md (Phase 1-4)
  Deep in stack  → root-cause-tracing.md (trace backward)
  Found cause    → defense-in-depth.md (add layers)
  Claiming done  → verification.md (verify first)

System issue   → investigation-methodology.md (5 steps)
  CI/CD failure  → log-and-ci-analysis.md
  Slow system    → performance-diagnostics.md
  Need report    → reporting-standards.md

Frontend fix   → frontend-verification.md (Chrome/devtools)

Tools Integration

  • Database: psql for PostgreSQL queries and diagnostics
  • CI/CD: gh CLI for GitHub Actions logs and pipeline debugging
  • Codebase: ck:docs-seeker skill for package/plugin docs; repomix for codebase summary
  • Scouting: $scout or $scout ext for finding relevant files
  • Frontend: Chrome browser or ck:chrome-devtools skill for visual verification (screenshots, console, network)
  • Skills: Activate ck:problem-solving skill when stuck on complex issues

Red Flags

Stop and follow process if thinking:

  • "Quick fix for now, investigate later"
  • "Just try changing X and see if it works"
  • "It's probably X, let me fix that"
  • "Should work now" / "Seems fixed"
  • "Tests pass, we're done"

All mean: Return to systematic process.

Signals

GitHub stars
88
Forks
86
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
ck-debug
Source
github.com/manhvann/codexkit