grafana-billing
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
Azure DevOps pipeline best practices, patterns, and industry standards
Neon serverless Postgres with autoscaling, instant database branching, and zero-downtime deployments. Use when building serverless applications, implementing database branching for dev/staging, or deploying with Vercel/Netlify.
Comprehensive Azure Data Factory validation rules, activity nesting limitations, linked service requirements, and edge-case handling guidance
Spawn 5 parallel Explore agents to discover project constraints. TRIGGERS - constraint scan, degrees of freedom, /ralph:start Step 1.4.5, project memory analysis.
Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading, (4) @fal.endpoint decorators, (5) Persistent volumes for weights, (6) Secrets management, (7) Scaling configuration (min/max concurrency), (8) Multi-GPU deployment, (9) fal deploy commands, (10) Local development with fal run. Provides: App structure, Dockerfile patterns, deployment commands, scaling config. Ensures production-ready serverless ML deployment.
Specialized skill for testing nondominium Holochain applications with Tryorama, providing comprehensive test patterns, agent simulation workflows, performance testing, and multi-agent scenario testing. Use when writing Tryorama tests, debugging zome interactions, or validating Holochain DNA functionality.
Comprehensive Azure Well-Architected Framework knowledge covering the five pillars: Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency. Provides design principles, best practices, and implementation guidance for building robust Azure solutions.
Kubernetes deployment strategies and workload patterns for production-grade applications. Use when deploying to Kubernetes, implementing rollout strategies, or designing cloud-native application architectures.
CI/CD pipelines, containerization, Kubernetes, and infrastructure as code patterns
Docker Compose production patterns 2025 including multi-environment strategies, health checks, and modern compose features
Modern DevOps and CI/CD automation patterns with containers and cloud (2025)
GitHub Actions 2025 features including 1 vCPU runners, immutable releases, and Node24 migration
Docker and containerization guidelines. Use when deployment docker guidance is required.
Configure development and production environments for consistent and reproducible setups. Use when setting up new projects, Docker environments, or development tooling. Handles Docker Compose, .env configuration, dev containers, and infrastructure as code.
AID methodology phase gate enforcement. Ensures work follows correct phase order (PRD -> Tech Spec -> Impl Plan -> Dev -> QA). Enforces gates, validates transitions.
Runs common Buck2 queries for dependency analysis, target inspection, and build graph exploration. Use when investigating dependencies, finding reverse dependencies, filtering by rule type, or understanding target relationships in the monorepo.
Azure Container Apps GPU support 2025 features including serverless GPU, Dapr integration, and scale-to-zero
Microsoft Defender for DevOps integration with Azure Pipelines (2025)
Phoenix operations and deployment: releases, runtime configuration, clustering, libcluster, telemetry/logging, secrets, assets, background jobs, and production hardening on the BEAM.
GitOps workflows and patterns using ArgoCD and Flux for declarative Kubernetes deployments. Use when implementing CI/CD for Kubernetes, managing multi-environment deployments, or adopting declarative infrastructure practices.
This skill should be used when deploying a Docusaurus site to GitHub Pages. It automates the configuration, building, and deployment process, handling GitHub Pages setup, environment configuration, and CI/CD automation. Includes local validation before GitHub Actions triggering.
Generate and validate task metadata for Ralph parallel execution. Use when creating tasks.yaml v1 files, validating task dependencies, or checking mutex usage. Triggers on: create task metadata, validate tasks yaml, check task dependencies.