Performs safe Terraform state operations using the terraform CLI state subcommands and the Terraform Cloud API.
Generate Terraform HCL code following HashiCorp's official style conventions and best practices. Use when writing, reviewing, or generating Terraform configurations.
Comprehensive guide for writing and running Terraform tests. Use when creating test files (.tftest.hcl), writing test scenarios with run blocks, validating infrastructure behavior…
Run the standard validation workflow for Terraform module repositories. Trigger when users ask to "validate", "lint", "run checks", "verify Terraform changes", "check this…
Explain and recommend Terraform versioning best practices for required_providers and required_version in modules versus root stacks.
Testcontainers for Node.js is a library that provides lightweight, throwaway instances of databases, message brokers, browsers, and other services as Docker containers for…
Terraform コマンドを実行する。「terraform plan」「terraform apply」「tf init」「tf plan」「tf apply」「terraform して」「tf 実行」「インフラ適用」「プラン確認」などで起動。 — from engineering/devops
Together AI ci integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together ci integration".
Together AI common errors for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together common errors".
Together AI cost tuning for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together cost tuning".
Together AI debug bundle for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together debug bundle".
Together AI deploy integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together deploy integration".
Together AI local dev loop for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together local dev loop".
Together AI prod checklist for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together prod checklist".
Together AI rate limits for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together rate limits".
Together AI upgrade migration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together upgrade migration".
Together AI webhooks events for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together webhooks events".
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost…
Connect any tool you use at work to your agent — including internal company tools, custom-built systems, deployment portals, incident trackers, internal knowledge bases, HR…
The tooling detection system automatically identifies infrastructure and DevOps tooling usage in projects using multi-signal analysis.
Torchscript Exporter - Auto-activating skill for ML Deployment. Triggers on: torchscript exporter, torchscript exporter Part of the ML Deployment skill category.
Instrument LLM and agent applications with MLflow tracing, evaluation, prompt tracking, and monitoring so operators can debug behavior before and after deployment.
Turn any codebase into evidence-grounded Markdown docs plus a machine-readable index.json. Every claim cites its source; never invents deployment steps.
Traefik cloud-native ingress router with automatic TLS, dynamic configuration, middleware chains, and Kubernetes IngressRoute CRDs. Sources: traefik/traefik (MIT).
Trellis is a collection of Ansible playbooks for provisioning and deploying WordPress LEMP stack servers.
Triton Inference Config - Auto-activating skill for ML Deployment. Triggers on: triton inference config, triton inference config Part of the ML Deployment skill category.
Answer questions about Tactical RMM (TRMM) — an open-source remote monitoring and management platform.
Use this when: set up an SMB or NFS share, my ZFS pool shows errors, automate dataset snapshots, replicate data to another NAS, fix dataset permissions for Docker containers, my…
Diagnoses and fixes conflicts between Tailscale and proxy/VPN tools (Shadowrocket, Clash, Surge) on macOS.
Integrate and operate Shopline in Taiwan e-commerce context via mcp-shopline. Use when the user needs to sync orders, manage products, run promotions, or reconcile inventory on…
Deploy TwinMind integrations to production environments with Chrome extension deployment, mobile app configuration, and API access setup.
Complete production deployment checklist for TwinMind integrations. Use when preparing to deploy, auditing production readiness, or ensuring best practices are followed.
Twirp lightweight RPC over HTTP/1.1 with Protobuf or JSON transport. Service routing, error codes, middleware hooks, and no-proxy deployment for simple agent-to-agent calls.
Choose between Swift Regex and NSRegularExpression for text parsing, and bridge match results to NSRange for use with NSAttributedString and TextKit.
A high-performance, developer-centric bash profile for Ubuntu. Features include a smart directory navigator (cdd) with project detection (Node, Python, Rust, Go, Docker),…
Enable NVIDIA GPUs on a Ubuntu server for compute/inference serving — install the open-kernel-module driver (required for Blackwell/Hopper), CUDA toolkit, turn on IOMMU…
Render a Helm chart locally and assert on the generated Kubernetes objects before a broken template makes it to a cluster.
Build Unity games with optimized C# scripts, efficient rendering, and proper asset management. Masters Unity 6 LTS, URP/HDRP pipelines, and cross-platform deployment.
Updates the briefs/ shared memory directory after a sprint completes. Reads sprint outputs and writes structured summaries for other agents.
Pull the latest framework version from upstream, rebuild Docker if needed, rebuild the listener, and restart PM2.
Generate a usage report for MCP Gateway Registry by SSHing into the telemetry bastion host, exporting telemetry data from DocumentDB, and producing a formatted markdown report…
Manages Medusa Cloud resources through the Cloud CLI (mcloud). Use when deploying, debugging deployments, managing environments, environment variables, or any Medusa Cloud…
Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero.
Comprehensive guide for developing with Vagrant, including Vagrantfile configuration, custom boxes, providers (VirtualBox, VMware, Hyper-V, libvirt, AWS), provisioners (Ansible,…
Catch CloudFormation schema, region, and intrinsic-function mistakes before a stack update fails in review or deployment.
Uses kubeconform to validate Kubernetes manifests against versioned schemas before anything touches a cluster.
Use when code changes need a gate report, operator asks "is this ready?", or a single observed failure needs reproducibility check; runs lint/typecheck/tests, smoke, probes,…
Plan, build, run, test, and diagnose Vapor server-side Swift services using current Vapor documentation, Vapor Toolbox project creation, SwiftPM-first commands, routing,…
Deploy ML training jobs and inference services on Vast.ai GPU cloud. Use when deploying GPU workloads, configuring Docker images, or setting up automated deployment scripts.
Configure Vast.ai GPU cloud across dev, staging, and production environments. Use when isolating GPU pools per team, managing API key separation by env, or implementing spending…
Execute Vast.ai production deployment checklist for GPU workloads. Use when deploying training pipelines to production, preparing for large-scale GPU jobs, or auditing production…
Vast.ai Python SDK — high-level API for GPU instances, volumes, serverless endpoints, and billing.
Vault Secrets Integrator - Auto-activating skill for DevOps Advanced. Triggers on: vault secrets integrator, vault secrets integrator Part of the DevOps Advanced skill category.
Veeva Vault deploy integration for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva deploy integration".
Deploy applications and websites to Vercel instantly. Use when asked to \"Deploy my app\", \"Deploy this to production\", \"Create a preview deployment\", or \"Push this live\".
Deploy and manage Vercel production deployments with promotion, rollback, and multi-region strategies.
Create and manage Vercel preview deployments for branches and pull requests. Use when deploying a preview for a pull request, testing changes before production, or sharing preview…
Expert knowledge for deploying to Vercel with Next.js Use when: vercel, deploy, deployment, hosting, production. — from garimto81/ebs_github
Vercel Deployment Agent is built around Vercel deployment platform. The underlying ecosystem is represented by vercel/vercel (15,126+ GitHub stars).
Terraform/Terragrunt のバージョンを管理する。「terraform バージョン」「tfenv」「tgswitch」「tf バージョン切り替え」「terraform インストール」「バージョン確認」「tf version」「terraform 1.5 にして」「tg バージョン」などで起動。 — from…