Claude Skills

Performance engineering for web applications, databases, and distributed systems optimization. Use for analyzing bottlenecks, implementing caching strategies, or improving Core Web Vitals. Covers profiling, load testing, bundle optimization, and database query performance tuning.

Product roadmap and feature prioritization expert with RICE, MoSCoW, and Kano frameworks. Use when planning product roadmaps, prioritizing features across increments, or defining success metrics and KPIs. Covers ROI analysis, stakeholder communication, and quarterly planning.

Real-time security pattern detector based on Anthropic's official security-guidance plugin. Use proactively when writing code to detect command injection, XSS, unsafe deserialization, and dynamic code execution risks. Identifies dangerous patterns BEFORE they're committed.

Serverless platform selection expert for AWS Lambda, Azure Functions, GCP Cloud Functions, and Firebase. Use when choosing between serverless platforms, evaluating cold start requirements, or designing event-driven architectures. Considers project scale (pet project vs enterprise), workload patterns, and cost optimization.

Detects when user reports issues with recently completed work and suggests reopening relevant tasks or increments. Use when reporting bugs, regressions, or problems with recently finished features. Scans completed work from last 7 days and provides relevance-scored suggestions while checking WIP limits.

Detects multi-repo architecture patterns (frontend/backend/shared) from user prompts and guides umbrella setup. Use when working with multiple repositories, microservices architecture, or projects with separate FE/BE/Shared libraries. Helps configure SpecWeave for multi-repo coordination.

Smart merge for CLAUDE.md and AGENTS.md instruction files that preserves user customizations while updating SpecWeave sections. Use after plugin refresh, version upgrade, or when instruction files need sync. Parses SW-managed sections and preserves user content.

Mandatory format standard for ALL GitHub issues created by SpecWeave with checkable acceptance criteria and proper metadata. Use when creating GitHub issues, formatting issue content, or ensuring consistent issue structure. Covers user stories, epics, features, and increments.

Expert at organizing specs and splitting tasks across multiple GitHub repositories for monorepo, polyrepo, and parent repo architectures. Use when managing specs across multiple repos, coordinating cross-repo work, or allocating tasks to different teams/repositories.

Two-way synchronization between SpecWeave specs and GitHub Projects (push & pull by default). Use when asking about GitHub integration setup, troubleshooting sync issues, or configuring sync settings. For actual syncing, use /sw-github:sync-spec command.

DevOps and IaC expert for Terraform, Kubernetes, Docker, CI/CD pipelines, and deployment platform decisions (Vercel vs Cloudflare vs Hetzner). Generates infrastructure ONE COMPONENT AT A TIME to prevent crashes.

Full-stack observability architect for Prometheus, Grafana, OpenTelemetry, distributed tracing (Jaeger/Tempo), SLIs/SLOs, error budgets, and alerting. Use for metrics, dashboards, traces, or reliability engineering.

Machine learning pipeline builder for end-to-end ML systems. Covers feature engineering, model training, evaluation, hyperparameter tuning, AutoML, and explainability (SHAP/LIME). Use for ML pipelines, model training, or building production ML systems.

Domain-specific ML expert for NLP, Computer Vision, and Time Series. Text classification, NER, sentiment (BERT, transformers), image classification, object detection (YOLO, ResNet), and forecasting (ARIMA, Prophet, LSTM). Use for specialized ML domains.

MLOps expert for ML infrastructure and production systems. ML pipelines (Kubeflow, Airflow, Prefect), model registry, deployment (Docker, K8s, serverless), monitoring, and CI/CD for ML. Use for automated training, model deployment, or ML infrastructure.

Multi-repo version alignment - lockstep/independent/umbrella strategies, semver constraints, version conflict detection.

Apache Kafka architecture expert for event-driven systems, cluster design, partition strategies, consumer groups, and event sourcing/CQRS patterns. Use when designing Kafka topics, planning data pipelines, or implementing event-driven architectures.

Kafka operations expert for deployment, monitoring, and tooling. Kubernetes (Strimzi, Confluent), Terraform IaC, Prometheus/Grafana observability, and CLI tools (kcat, kafkactl). Use for Kafka deployment, monitoring setup, or operational tasks.

n8n workflow automation with Kafka integration expert. Covers Kafka trigger node, producer node, event-driven workflows, error handling, retries, and no-code/low-code event processing patterns. Activates for n8n kafka, kafka trigger, kafka producer, n8n workflows, event-driven automation, no-code kafka, workflow patterns.