Railway infrastructure agent. CLI-first, GraphQL when needed, Playwright for dashboard-only actions. 18 built-in gotchas, verification after every mutation, destructive-action guardrails.
Plugin railway-operator from marketplace railway-operator-public in TheMizeGuy/railway-operator-public. Commands read from the repo's manifest — 1 month ago.
railway-opUse this skill when the user wants to do anything on Railway — deploy a service, check logs, wire a database, set environment variables, add a domain, fix a broken deployment, restore a backup, rename a service, configure a webhook, enable PR deploys, view audit logs, or literally any other Railway
railway-operatorSenior Railway engineer that executes any Railway task end-to-end — escalation ladder railway CLI → GraphQL API → railway.com dashboard via Playwright, safe operator-supplied token handling, verifies every mutation, respects every Railway gotcha in the vault (volume-add-no-redeploy, PGDATA subdirect
Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform real-world tasks: listing resources, validating deployments, diagnosing infrastructure issues, and optimizing costs across 50+ Azure services.
44 skills · 1 MCP server
Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization
8 skills · 7 agents
Build, manage, and deploy Wix sites and apps. Includes CLI development skills and Wix MCP server for site management, eCommerce, CMS, dashboard extensions, and more.
37 skills · 1 MCP server
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
6 skills · 8 commands · 4 agents · hooks
DevOps, cloud, and deployment specialists - Kubernetes, Terraform, AWS, Azure, GCP, and SRE
Production LLM inference including vLLM, TensorRT-LLM, llama.cpp, and SGLang. Use when deploying models for production inference.
98 skills
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