PR workflow Skill for Terraform/Terragrunt repos: branch naming, PR hygiene, read-only CI gates, and versioning expectations for interface changes.
Develops Terraform providers in Go. Use when creating a new Terraform provider or updating an existing one, use when creating, updating, deleting resources or data sources.
Terraform Provider Config - Auto-activating skill for DevOps Advanced. Triggers on: terraform provider config, terraform provider config Part of the DevOps Advanced skill category.
Explores HashiCorp Terraform provider schemas using terraform providers schema -json output. Maps resource attributes, computed fields, and cross-resource dependency references…
Comprehensive test-driven development for Terraform providers with iterative co-development of tests, generators, and schemas.
Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management.
Use when writing, reviewing, or debugging Terraform/OpenTofu modules, tests, CI, scans, or state ops — diagnoses failure mode (identity churn, secrets, blast radius, CI drift,…
Expert Terraform/OpenTofu specialist mastering advanced IaC automation, state management, and enterprise infrastructure patterns.
Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl…
Diagnoses Terraform state issues using terraform state commands, the Terraform Cloud API, and HCL parser.
Detects infrastructure drift by running terraform plan -detailed-exitcode and parsing the JSON output via terraform show -json.
Analyzes Terraform state files and plan outputs to detect drift, orphaned resources, and dependency cycles.
Inspects and diagnoses Terraform state files using terraform CLI commands and the Terraform Cloud API v2. Detects drift, orphaned resources, and dependency cycles in state data.
Terraform State Manager - Auto-activating skill for DevOps Advanced. Triggers on: terraform state manager, terraform state manager Part of the DevOps Advanced skill category.
Performs safe Terraform state operations using the terraform CLI state subcommands and the Terraform Cloud API.
Terraform/HCL style conventions for writing readable, reusable modules — collection types, resource naming, name_prefix, for_each toggles, variable and output grouping, null…
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…
Format and validate Terraform code with the fmt / init / validate / tflint loop. Use after editing any .tf file, before committing Terraform changes, when asked to lint, format,…
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.
Reviews Terraform/OpenTofu plans, detects drift, performs state surgery (mv/rm/import), upgrades providers, and traces Terragrunt cache errors. Multi-cloud.
**토폴로지-중립 진입(온보딩) 오케스트레이터** — fresh-clone/미테라포밍 환경에서 능동 발동해 **첫 동작으로 토폴로지(① 단일노드 ② N대 멀티노드)를 인터뷰로 확정**하고, 그에 따라 노드를 스캔·manifest.yaml(스킬 간 단일 계약)을 채운다.
Infracost-oriented Terraform/OpenTofu guidance for the MACOG Cost and Capacity Planner agent.
Testcontainers for Node.js is a library that provides lightweight, throwaway instances of databases, message brokers, browsers, and other services as Docker containers for…
Apply a previously reviewed Terraform plan for the Book Review App (assumes plan has already been reviewed)
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
Analyze Terraform plans for risk before you apply. Classifies every change as safe, moderate, dangerous, or critical. Detects destroys, IAM changes, data-los...
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI — from…
Manages runtime health, deployment, incidents, rollback, and monitoring for agenthood services.
> Generate, modify, and style React components from natural language using the Thesys SDK. Guides schema-driven UI generation, theme customisation, tool calling integration, and…
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…
Use when when you need to deploy a Java web application packaged in a Tomcat Docker container to a specified HTTP endpoint, and must verify that the container starts successfully,…
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…
Propagate the last change in the Docker system for project_template to all the projects
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.
Use when working with Tracearr media-server monitoring for Plex, Jellyfin, or Emby, including real-time sessions, stream analytics, account-sharing detection, trust scores,…
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).
Train a character/identity LoRA locally on FLUX.1-dev via the comfyui-mcp train_* tools (GPU Docker + ostris ai-toolkit).
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.
Proactively detect and diagnose DAPR runtime issues based on error patterns, log analysis, and common misconfigurations.
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…
Use when publishing a TypeScript library — exports map, JSR vs npm, dual ESM/CJS, type validation, provenance. Covers modern package.json, jsr.json, and release CI.
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…