Agent Skills Hub

rspack-sftrace

Trace Rspack Rust function calls using LLVM XRay for performance analysis, troubleshooting, and visualization of execution flow.

grafana-dashboards

Create and manage production-ready Grafana dashboards for observability, real-time metrics visualization, and system monitoring.

kagent

Expert guide for kagent: the Kubernetes-native framework for building, deploying, and managing AI agents, MCP tools, and A2A protocols.

syncause-debugger

Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.

springboot-patterns

Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.

go-api

Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.

opper-api

Direct access to the Opper REST API for LLM orchestration, model management, task execution, and seamless migration from OpenAI, Anthropic, or OpenRouter.

ops-devops-platform

DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.

evidence-first-debugging

Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.

rust-async-patterns

Master Rust async programming with Tokio, including tasks, channels, streams, error handling, and production-grade concurrency patterns.

shift-right-testing

Production-grade testing strategy implementing feature flags, canary releases, synthetic monitoring, and chaos engineering for continuous reliability in live environments.

performance-analysis

Systematic performance engineering: baseline measurement, profiling, bottleneck diagnosis, and evidence-based optimization guidance for high-performance applications.