smart-debugging

AI-powered intelligent debugging with stack trace analysis, error pattern recognition, and automated fix suggestions. Use when debugging complex errors, analyzing stack traces, or performing root cause analysis. Triggers: 'debug', 'error analysis', 'stack trace', 'root cause', 'troubleshooting'.

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Repositorio: greyhaven-ai/claude-code-config
Última actividad en el origen: 17 de abril de 2026 a las 23:11
Idioma detectado de SKILL.md: inglés
Estrellas: 30
Forks: 4

Opciones de instalación

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npx skills add https://github.com/greyhaven-ai/claude-code-config --skill smart-debugging

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SKILL.md

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code-quality-analysis

Multi-mode code quality analysis covering security reviews (OWASP Top 10), clarity refactoring (readability rules), synthesis analysis (cross-file issues), and DDD/DRY lenses (flags mechanical naming, primitive obsession, domain rules leaking into infrastructure, and premature abstractions via the three-occurrences-same-concept rule). Supports team-mode parallel analysis when invoked from quality-pipeline. Use when reviewing code for security vulnerabilities, improving code readability, conducting quality audits, pre-deployment checks, or when user mentions 'code quality', 'code review', 'security review', 'refactoring', 'code smell', 'OWASP', 'code clarity', 'primitive obsession', 'value object', 'ubiquitous language', 'DRY', 'premature abstraction', or 'quality audit'.

2026-04-19

performance-optimization

Comprehensive performance analysis and optimization for algorithms (O(n²)→O(n)), databases (N+1 queries, indexes), React (memoization, virtual lists), bundles (code splitting), API caching, and memory leaks. 85%+ improvement rate. Use when application is slow, response times exceed SLA, high CPU/memory usage, performance budgets needed, or when user mentions 'performance', 'slow', 'optimization', 'bottleneck', 'speed up', 'latency', 'memory leak', or 'performance tuning'.

2026-04-19

api-design-standards

Design RESTful APIs following Grey Haven standards - FastAPI routes, Pydantic schemas, HTTP status codes, pagination, filtering, error responses, OpenAPI docs, and multi-tenant patterns. Use when creating API endpoints, designing REST resources, implementing server functions, configuring FastAPI, writing Pydantic schemas, setting up error handling, implementing pagination, or when user mentions 'API', 'endpoint', 'REST', 'FastAPI', 'Pydantic', 'server function', 'OpenAPI', 'pagination', 'validation', 'error handling', 'rate limiting', 'CORS', or 'authentication'.

2026-04-19

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name	smart-debugging
description	AI-powered intelligent debugging with stack trace analysis, error pattern recognition, and automated fix suggestions. Use when debugging complex errors, analyzing stack traces, or performing root cause analysis. Triggers: 'debug', 'error analysis', 'stack trace', 'root cause', 'troubleshooting'.
skills	["code-style","testing-strategy","incident-response"]
allowed-tools	["Read","Write","MultiEdit","Bash","Grep","Glob","TodoWrite"]

Smart Debugging Skill

AI-powered intelligent debugging with stack trace analysis, error pattern recognition, and automated fix suggestions.

Description

Systematic error diagnosis through triage, investigation, root cause analysis, fix generation, and prevention strategies.

What's Included

Examples: Stack trace analysis, error pattern fixes
Reference: Debugging methodologies, common errors
Templates: Debug report templates, RCA structures

Use When

Systematic error diagnosis needed
Stack traces to analyze
Root cause investigation
Automated fix suggestions

Related Agents

smart-debug

Skill Version: 1.0

smart-debugging

Datos de origen

Opciones de instalación

Revisa los archivos de origen

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Smart Debugging Skill

Description

What's Included

Use When

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Smart Debugging Skill

Description

What's Included

Use When

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