Error tracing, root cause analysis, and smart debugging for production systems
Analyze and resolve errors across the full application lifecycle — from stack traces to distributed tracing — using systematic root-cause analysis and observability tools.
Set up error tracking and monitoring — implement structured logging, configure alerts, and integrate with error tracking services for real-time error detection.
AI-assisted smart debugging — parse error messages, stack traces, and failure patterns to identify root causes and produce a fix with automated observability steps.
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.
Uses power tools
Uses Bash, Write, or Edit tools
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Performance analysis, test coverage review, and AI-powered code quality assessment
API testing automation, request mocking, OpenAPI documentation generation, observability setup, and monitoring
CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
HADS (Human-AI Document Standard) — semantic tagging convention for writing documentation that works efficiently for both human readers and AI models. Reduces token consumption and hallucination risk by separating machine-critical facts from human context.
npx claudepluginhub travis-d-elliott/agents --plugin error-diagnosticsUpstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
v9.52.0 - Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.