DevOps & Infra

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Start the production Docker environment for manual testing, capture bugs/issues as feature files, and shut down when done. Use when this capability is needed.

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Terraform Patterns

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Node.js/Express API for Cloud Functions or Hostinger Node.js hosting. Middleware chain. Error handling. [EXPLICIT] Use when this capability is needed.

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Docker Compose Advanced

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This skill should be used when the user asks to "run tests", "write nf-test", "create test cases", "debug test failures", "update snapshots", "validate pipeline outputs", "run nf-test", or mentions nf-test, snapshot testing, stub runs, or pipeline-level testing. Use when this capability is needed.

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Kubernetes deployment and orchestration patterns Use when this capability is needed.

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Helm Debugging & Troubleshooting

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Quick status check for Terraform Cloud runs showing status, resource changes, timestamps, and available actions. Use when monitoring run progress or checking if a run can be applied/canceled. Requires TFE_TOKEN environment variable. Use when this capability is needed.

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TypeScript clean architecture implementation with *.system.ts convention, interface-based DI, namespace API pattern, and coverage configuration. Use when creating or refactoring TypeScript modules with external dependencies, writing system wrappers, defining interfaces for Azure SDK or Cloudflare API, or configuring coverage exclusions. Use when this capability is needed.

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Runs end-to-end or upgrade tests on existing long-running Maestro clusters deployed in Azure AKS

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This skill should be used when the user asks to "run npm test after 30 minutes", "git commit after 1 hour", "wait 2h then deploy", "sleep 45m and run build", "after 10m run prettier", or provides a duration followed by a shell command to execute later. Use when this capability is needed.

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Deploy the BYOA wake-receiver Vercel Function from `deployment/vercel/`. Reads `.env.byoa`, pushes the operator's required env to the Vercel project, deploys via `npx vercel`, health-checks the URL, logs the operator in, and registers the resulting alias as the ship's `source_url` via `ship_byoa_configure`. Picks up from `/byoa-link` (which claims the ship and writes `.env.byoa`). Usage `/byoa-deploy-vercel [env]` (env defaults to `prod`; `live` is an accepted synonym for `prod`). Use when this capability is needed.

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Complete reference for the fine-tuning pipeline (SFT, KTO, GRPO), cloud HF Jobs workflows, autonomous experiment search, checkpoint evaluation, and LoRA surgery. Covers training CLI flags, YAML configuration, model presets, dataset requirements, LoRA settings, training monitoring, hyperparameter search, and post-training optimization. Use when training models, configuring training runs, choosing hyperparameters, running cloud experiments, inspecting HF jobs, or troubleshooting training issues. This skill is about USING the training system via CLI and YAML — never modifying source code. Use when this capability is needed.

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> **Generic Patterns**: For base pytest patterns (fixtures, mocking, parametrize, markers), see the `pytest` skill.

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Kubernetes backup and restore with Velero. Use when creating backups, restoring applications, managing disaster recovery, or migrating workloads between clusters. Use when this capability is needed.

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Deploy and manage Kubernetes workloads with progressive delivery. Use for deployments, rollouts, blue-green, canary releases, scaling, and release management. Use when this capability is needed.

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Expert guidance for Azure DevOps CLI (az devops) - automation, pipelines, repos, boards, and artifacts management. Use when working with Azure DevOps, managing pipelines, creating work items, or when user mentions ADO, builds, releases, or Azure repos. Use when this capability is needed.

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Configures GitHub Actions workflows and CI/CD pipelines. Use when creating workflow YAML, managing npm releases, troubleshooting CI failures, configuring Husky hooks, or setting up release automation. Do NOT use for local development commands or application code.

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CI/CD Pipeline Management

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Complete GPU optimization pipeline. Launches N agents, runs benchmarks, anti-triche verification, and generates report automatically. One command for everything. Use when this capability is needed.

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Add a single AWS IAM privilege-escalation technique (e.g. from pathfinding.cloud) to cloudsplaining's detection. This skill should be used when the method name and required action list are already decided — it is a pure executor, not a planner. It updates constants.py with TDD, regenerates fixtures with a regression check, and updates the docs. Use when this capability is needed.

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CI/CD pipeline configuration using GitHub Actions for Golang projects — testing, linting, SAST, security scanning, code coverage, Dependabot, Renovate, GoReleaser, code review automation, and release pipelines. Use when setting up or improving Go project CI, configuring GitHub Actions workflows, adding linters or security scanners, automating dependency updates, or adding quality gates. Use when this capability is needed.

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REQUIRED FIRST — starts TypeDB + dashboard via Docker, loads the Alhazen base schema. Must install before any other Alhazen skill. Use when this capability is needed.

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Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts. Use when this capability is needed.

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Creates a new Rails project with personal preferences (RSpec, PostgreSQL, Docker, master branch). Use when the user asks to "create a new Rails project", "start a new Rails app", "new-project-rails", or "/new-project-rails <name>".

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Deploy Microsoft Agent Framework agents to production environments including Azure Functions, containers, and Azure AI Foundry. Use this skill when deploying agents to cloud platforms, containerizing agents, or integrating with Azure services. Use when this capability is needed.

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Get a Continuum agent up and running — Python 3.13 venv, infra via `continuum up`, smallest possible BaseAgent + AgentRunner example. Invoke when the user asks "how do I start", "set up Continuum", "run my first agent", or is at the very beginning of a project. Use when this capability is needed.

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Dockerfile multi-stage build, compose.yml service config, image tagging, volume mounts, and resource limits for the haven-docker project. Use when modifying the Docker build, changing volumes, updating compose settings, or troubleshooting container issues. Use when this capability is needed.

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Deploy smart contracts to MIDL (Bitcoin-anchored EVM) using MCP or Hardhat on staging network Use when this capability is needed.

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Specialized skill for designing AWS DynamoDB single-table schemas with optimized access patterns. Use when modeling data, designing table structure, or optimizing DynamoDB queries for production applications. Use when this capability is needed.

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Install switchroom and its dependencies (docker, claude CLI, switchroom binary) on a fresh machine. Use for onboarding and first-time setup — when the user says 'install switchroom on this machine', 'set up switchroom for the first time', 'bootstrap switchroom from scratch', 'get switchroom running', 'how do I get started with switchroom', "I'm new to switchroom, where do I begin", or asks about switchroom dependencies or prerequisites. This is the onboarding entry point, not for managing existing agents. Do NOT use when the user's message starts with "In switchroom agent management," — that prefix is a hard trigger for `switchroom-manage` even when the action mentions "reinstall my agents" or "set up my agents"; agent-management prefix means fleet operations on an already-installed switchroom, not first-time host bootstrap. Use when this capability is needed.

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Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization. Use when this capability is needed.

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Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Use when this capability is needed.

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Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use when this capability is needed.

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kubernetes-security

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When a long-running service freezes — pipeline, queue, worker, sync job — the recovery sequence is the same regardless of language or stack. Investigate before killing; verify the kill is data-safe; restart with a verification probe; capture the contention pattern as memory so the next instance is faster. The pattern beats writing a project-specific runbook for every service. Use when this capability is needed.