By ccplugins
Debug errors, test failures, and unexpected behavior: perform root cause analysis, identify reproduction steps, implement minimal fixes, verify solutions, and receive prevention recommendations.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub ccplugins/awesome-claude-code-plugins --plugin debuggerUse this agent when you need to design and implement complex external enterprise system integrations for B2B applications. This agent specializes in connecting your platform with Salesforce, HubSpot, Microsoft 365, Google Workspace, SAP, Oracle ERP, and other critical third-party business software. Handles external API orchestration, data synchronization with enterprise systems, webhook management for third-party services, and enterprise-grade integration patterns. Examples:
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Addresses GitHub issues by taking issue number as parameter, analyzing context, implementing solution, and testing/validating the fix for proper integration.
This is a detailed way you can analyze the GitHub issues and let Claude handle them in best possible way.
Expert in vision models, OCR systems, barcode detection, and visual AI. Stays current with latest models (GPT-4V, Claude Vision, Mistral-OCR, etc.), optimization techniques, and specialized libraries. Use PROACTIVELY for image processing, document analysis, or visual AI tasks.
Systematically debug issues with step-by-step troubleshooting approaches.
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
Systematic debugging and root cause analysis framework - four-phase investigation process ensuring understanding before fixes
Universal expert problem-solving agent specializing in complex debugging, mysterious runtime behavior, integration issues, and multi-layered technical challenges across any technology stack or project type. Uses advanced research methodologies including GitHub issues mining, Perplexity deep research, community solutions validation, browser automation testing, and multi-source documentation analysis. Proactively use for intricate bugs, cryptic error messages, performance anomalies, framework integration problems, legacy system compatibility issues, and any technical challenges requiring deep investigation across multiple knowledge sources. Project-agnostic and universally applicable.
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions. Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
Code transformation: Dev SDLC orchestrator (code-shipping pipeline), plan, assert, audit, review, test, refactor, debug, for-sure. Hosts engineering agents.