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Found 316 Skills
Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs. Use when a customer reports permission failures, access errors, or log publishing issues in Clean Rooms.
Complete observability stack with structured logging, error tracking, and web analytics.
Implements standardized API error responses with proper status codes, logging, and user-friendly messages. Use when building production APIs, implementing error recovery patterns, or integrating error monitoring services.
Use when working on the backend API (packages/api). Covers Elysia routes, Drizzle ORM, TypeBox schemas, JWT authentication, S3 uploads, Google Sheets logging, and the Next.js hybrid setup.
Know when your AI breaks in production. Use when you need to monitor AI quality, track accuracy over time, detect model degradation, set up alerts for AI failures, log predictions, measure production quality, catch when a model provider changes behavior, build an AI monitoring dashboard, or prove your AI is still working for compliance. Covers DSPy evaluation for ongoing monitoring, prediction logging, drift detection, and alerting.
Systematic debugging methodology with root cause analysis. Phases: investigate, hypothesize, validate, verify. Capabilities: backward call stack tracing, multi-layer validation, verification protocols, symptom analysis, regression prevention. Actions: debug, investigate, trace, analyze, validate, verify bugs. Keywords: debugging, root cause, bug fix, stack trace, error investigation, test failure, exception handling, breakpoint, logging, reproduce, isolate, regression, call stack, symptom vs cause, hypothesis testing, validation, verification protocol. Use when: encountering bugs, analyzing test failures, tracing unexpected behavior, investigating performance issues, preventing regressions, validating fixes before completion claims.
Use when storing credentials in OCI Vault, troubleshooting secret retrieval failures, implementing secret rotation, or setting up application authentication to Vault. Covers vault hierarchy confusion, IAM permission gotchas, cost optimization, temp file security, and audit logging.
nginx C module performance optimization and reliability guidelines based on the official nginx development guide. This skill should be used when optimizing nginx C modules for throughput, latency, memory efficiency, and operational resilience. Triggers on tasks involving buffer optimization, connection tuning, shared memory contention, error recovery, timeout strategy, caching implementation, worker process tuning, or logging performance in nginx C modules.
Configure AWS CloudTrail for audit logging. Set up organization trails and event analysis. Use when auditing AWS activity.
Development workflow, debugging, and troubleshooting for Electrobun desktop applications. This skill covers debugging the main process (Bun) and webview processes, Chrome DevTools integration, console logging strategies, error handling, performance profiling, memory leak detection, build error troubleshooting, common runtime errors, development environment setup, hot reload configuration, source maps, breakpoint debugging, network inspection, WebView debugging on different platforms, native module debugging, and systematic debugging approaches. Use when encountering build failures, runtime errors, crashes, performance issues, debugging RPC communication, inspecting webview DOM, profiling CPU/memory usage, troubleshooting platform-specific issues, or setting up development workflow. Triggers include "debug", "error", "crash", "troubleshoot", "DevTools", "inspect", "breakpoint", "profiling", "performance issue", "build error", "not working", or "logging".
Applies best practices for logging, project structure, and environment variable usage specifically to the main application file.
Pino high-performance JSON logger for Node.js with worker thread transports, child loggers, redaction, and framework integrations. Use when setting up structured logging, configuring log transports, adding request correlation IDs, redacting sensitive data, or integrating with Fastify, Hono, or Express. Use for pino, logging, structured-logs, request-id, correlation, redaction, transports, pino-http, pino-pretty.