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

v1.0.0

Acerca de este Skill

Perfecto para agentes de IA que necesitan capacidades avanzadas de detección de problemas y análisis de errores específicos de la plataforma. Resumen localizado: (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.

Características

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)

# Temas principales

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

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Perfecto para agentes de IA que necesitan capacidades avanzadas de detección de problemas y análisis de errores específicos de la plataforma. Resumen localizado: (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.

¿Por qué usar esta habilidad?

Habilita a los agentes a detectar automáticamente problemas específicos de la plataforma, analizar el contexto de errores y sugerir soluciones utilizando herramientas de investigación de solo lectura y el protocolo de descubrimiento de habilidades, proporcionando un comando de depuración unificado

Mejor para

Perfecto para agentes de IA que necesitan capacidades avanzadas de detección de problemas y análisis de errores específicos de la plataforma.

Casos de uso accionables for debug

Depuración de problemas específicos de la plataforma con detección automática de plataforma
Análisis del contexto de errores e identificación de causas raíz
Sugerencia de soluciones para problemas específicos de la plataforma sin aplicar cambios automáticamente

! Seguridad y limitaciones

  • Requiere capacidades de detección de plataforma
  • Limitado a herramientas de investigación de solo lectura
  • No aplica automáticamente soluciones, solo las sugiere

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Demo Labs

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 y pasos de instalación

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

? Preguntas frecuentes

¿Qué es debug?

Perfecto para agentes de IA que necesitan capacidades avanzadas de detección de problemas y análisis de errores específicos de la plataforma. Resumen localizado: (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.

¿Cómo instalo debug?

Ejecuta el comando: npx killer-skills add Klara-copilot/epost_agent_kit/debug. Funciona con Cursor, Windsurf, VS Code, Claude Code y más de 19 IDE adicionales.

¿Cuáles son los casos de uso de debug?

Los casos de uso principales incluyen: Depuración de problemas específicos de la plataforma con detección automática de plataforma, Análisis del contexto de errores e identificación de causas raíz, Sugerencia de soluciones para problemas específicos de la plataforma sin aplicar cambios automáticamente.

¿Qué IDE son compatibles con debug?

Esta skill es compatible con 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. Usa la CLI de Killer-Skills para una instalación unificada.

¿Tiene limitaciones debug?

Requiere capacidades de detección de plataforma. Limitado a herramientas de investigación de solo lectura. No aplica automáticamente soluciones, solo las sugiere.

Cómo instalar este skill

  1. 1. Abre tu terminal

    Abre la terminal o línea de comandos en el directorio de tu proyecto.

  2. 2. Ejecuta el comando de instalación

    Ejecuta: npx killer-skills add Klara-copilot/epost_agent_kit/debug. La CLI detectará tu IDE o agente automáticamente y configurará la skill.

  3. 3. Empieza a usar el skill

    El skill ya está activo. Tu agente de IA puede usar debug de inmediato en el proyecto actual.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

debug

Install debug, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

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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