debug — for Claude Code epost_agent_kit, community, for Claude Code, ide skills, skill-discovery, Unified, Command, platform-specific, issues, automatic

v1.0.0

Über diesen Skill

Perfekt für KI-Agents, die erweiterte Plattform-spezifische Problem- und Fehleranalysefunktionen benötigen. Lokalisierte Zusammenfassung: (ePost) Debug issues — auto-detects platform # Debug — Unified Debug Command Debug platform-specific issues with automatic platform detection. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Funktionen

Debug — Unified Debug Command
Debug platform-specific issues with automatic platform detection.
Platform Detection
Detect platform per skill-discovery protocol.
Route to platform-specific agent (read-only investigation tools preferred)

# Core Topics

Klara-copilot Klara-copilot
[2]
[0]
Updated: 3/9/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, 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
Review Score
8/11
Quality Score
45
Canonical Locale
en
Detected Body Locale
en

Perfekt für KI-Agents, die erweiterte Plattform-spezifische Problem- und Fehleranalysefunktionen benötigen. Lokalisierte Zusammenfassung: (ePost) Debug issues — auto-detects platform # Debug — Unified Debug Command Debug platform-specific issues with automatic platform detection. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Warum diese Fähigkeit verwenden

Ermöglicht es Agenten, Plattform-spezifische Probleme automatisch zu erkennen, den Fehlerkontext zu analysieren und Lösungen mithilfe von schreibgeschützten Untersuchungstools und dem Skill-Entdeckungsprotokoll vorzuschlagen, wodurch ein einheitlicher Befehl für effizientes Debugging

Am besten geeignet für

Perfekt für KI-Agents, die erweiterte Plattform-spezifische Problem- und Fehleranalysefunktionen benötigen.

Handlungsfähige Anwendungsfälle for debug

Fehlerbehebung von Plattform-spezifischen Problemen mit automatischer Plattform-Erkennung
Analyse des Fehlerkontexts und Identifizierung der Ursachen
Vorschlag von Lösungen für Plattform-spezifische Probleme ohne automatische Anwendung von Änderungen

! Sicherheit & Einschränkungen

  • Benötigt Plattform-Erkennungsfunktionen
  • Begrenzt auf schreibgeschützte Untersuchungstools
  • Wendet keine Lösungen automatisch an, schlägt sie nur vor

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - 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 debug?

Perfekt für KI-Agents, die erweiterte Plattform-spezifische Problem- und Fehleranalysefunktionen benötigen. Lokalisierte Zusammenfassung: (ePost) Debug issues — auto-detects platform # Debug — Unified Debug Command Debug platform-specific issues with automatic platform detection. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install debug?

Run the command: npx killer-skills add Klara-copilot/epost_agent_kit/debug. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for debug?

Key use cases include: Fehlerbehebung von Plattform-spezifischen Problemen mit automatischer Plattform-Erkennung, Analyse des Fehlerkontexts und Identifizierung der Ursachen, Vorschlag von Lösungen für Plattform-spezifische Probleme ohne automatische Anwendung von Änderungen.

Which IDEs are compatible with 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 debug?

Benötigt Plattform-Erkennungsfunktionen. Begrenzt auf schreibgeschützte Untersuchungstools. Wendet keine Lösungen automatisch an, schlägt sie nur vor.

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 Klara-copilot/epost_agent_kit/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 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

debug

Install 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

Debug — Unified Debug Command

Debug platform-specific issues with automatic platform detection.

Platform Detection

Detect platform per skill-discovery protocol.

Execution

  1. Detect platform
  2. Route to platform-specific agent (read-only investigation tools preferred)
  3. Analyze error context, gather logs, identify root cause
  4. Explain root cause and suggest fix (do NOT auto-apply fix — that's /fix)

Expertise

Systematic Debugging

  1. Understand: What's the symptom?
  2. Reproduce: Can you reproduce it?
  3. Isolate: What's the minimal case?
  4. Analyze: What's actually happening?
  5. Hypothesize: What could cause this?
  6. Verify: Does the fix work?

Log Analysis

  • Parse error messages
  • Follow stack traces
  • Identify log patterns
  • Contextual logging

Stack Trace Interpretation

  • Read top-down
  • Identify root cause frame
  • Distinguish cause from symptom
  • Async stack traces

Reproduction Strategies

  • Minimal reproduction
  • Environment matching
  • Data setup
  • Step reproduction

Root Cause Analysis

See problem-solving for root cause analysis techniques (5 Whys, bisection, inversion).

Fix Validation

  • Regression testing
  • Edge case testing
  • Performance impact
  • Side effect analysis

Patterns

Debug Logging

typescript
1console.log('[Feature]', { variable, state }); 2console.debug('[Debug]', value); 3console.error('[Error]', error);

Error Boundaries

typescript
1class ErrorBoundary extends Component { 2 componentDidCatch(error, errorInfo) { 3 console.error('Error caught:', error, errorInfo); 4 } 5}

Debug Mode

typescript
1const DEBUG = process.env.DEBUG === 'true'; 2if (DEBUG) console.debug('Debug info');

Structured Logging

typescript
1logger.info('User action', { 2 action: 'login', 3 userId: user.id, 4 timestamp: Date.now() 5});

Common Issues

TypeScript

  • Type mismatches
  • Missing type imports
  • Any type issues
  • Generic constraints

React

  • Stale closures
  • Missing dependencies
  • Re-render loops
  • State timing

Async

  • Race conditions
  • Promise rejection
  • Missing await
  • Callback hell

Defense-in-Depth Patterns

Validation Layers

  1. Input validation (reject invalid early)
  2. Business logic validation (enforce invariants)
  3. Output validation (verify results before return)

Error Handling Strategy

  • Catch: Only where you can handle meaningfully
  • Transform: Convert to domain-specific errors
  • Log: Include context (not just message)
  • Propagate: Let upstream handle if you can't

Assertion vs Exception

  • Assertions: Programmer errors (should never happen)
  • Exceptions: Runtime problems (can happen legitimately)

State Diagram Tracing

When debugging state-related bugs (unexpected transitions, stuck states, race conditions):

  1. Draw the ACTUAL state machine from code — read every if/switch/state= and extract what ACTUALLY happens
  2. Draw the EXPECTED state machine from requirements or docs
  3. Overlay and diff — mismatches reveal the bug:
    • Missing transitions (no path from state A to B)
    • Unguarded transitions (state changes without preconditions)
    • Dead states (reachable but no exit — component gets "stuck")
    • Race conditions (two transitions competing for same state)
ACTUAL:   [LOADING] ──(timeout)──▸ [LOADING]     ← stuck! no error path
EXPECTED: [LOADING] ──(timeout)──▸ [ERROR] ──(retry)──▸ [LOADING]
MISSING:  timeout → ERROR transition

Applies to: React useState/useReducer, iOS view lifecycle, Android Compose state, async/Promise chains, WebSocket connections.

See plan/references/state-machine-guide.md for notation and common patterns.

Verification Checklist

  • Symptom reproduced consistently
  • Root cause identified and documented
  • Fix applied and tested
  • No new issues introduced
  • Edge cases considered
  • Similar issues checked elsewhere in codebase

Tools

  • Browser DevTools (breakpoints, profiling)
  • Node debugger (--inspect)
  • Console logging (structured)
  • Source maps (correct line numbers)
  • Test suite (regression testing)

Debugging Discipline

IRON LAW: NO FIXES WITHOUT ROOT CAUSE FIRST.

Applying a fix before identifying root cause is not debugging — it is guessing. Guesses compound into technical debt.

See verification-before-completion skill for anti-rationalization table, red flags, and the full verification gate protocol.

Sub-Skill Routing

IntentSub-SkillWhen
Fix broken codefix/fix, "fix this", error/crash/failing
Fix deeplyfix-deep/fix-deep, complex multi-file bugs
Fix CI pipelinefix-ci/fix-ci, CI/CD failures, build pipeline
Fix UI issuesfix-ui/fix-ui, visual bugs, layout broken
  • knowledge-retrieval — Knowledge storage format and docs/ directory
  • knowledge-capture — Post-task capture workflow
  • problem-solving — Root cause analysis techniques
  • error-recovery — Error handling and recovery patterns
  • verification-before-completion — Verify fixes before claiming done
  • auto-improvement — Error metrics auto-captured by session-metrics hook on Stop

References

  • references/debugging-flow.dot — Authoritative debugging process flowchart
  • references/condition-based-waiting.md — Patterns for replacing sleep() with condition polling

<issue>$ARGUMENTS</issue>

IMPORTANT: Analyze the skills catalog and activate needed skills for the detected platform.

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