DevOps & Infra

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Terraform infrastructure-as-code best practices for scalable and maintainable cloud infrastructure. Use when writing Terraform modules, managing infrastructure state, or implementing infrastructure automation at scale. Use when this capability is needed.

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Weighted pipeline forecast by probability. Historical accuracy tracking, commit vs best-case scenarios, deal slippage patterns. Use when this capability is needed.

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Start, stop, restart, inspect, and follow logs for Docker Compose-managed local stacks Use when this capability is needed.

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Automatically analyze and fix CI-failed Pull Requests on GitCode/GitHub. Use when a PR has failed CI checks and needs diagnosis and repair. Triggers include "fix this PR", "repair failed CI", "analyze PR failure", or when given a PR URL with CI failures. Works with any Docker-based CI/CD pipeline and automatically creates a new PR with fixes. Use when this capability is needed.

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Create, configure, and manage Microsoft Fabric Data Agents that enable natural language Q&A over lakehouses, warehouses, Power BI semantic models, KQL databases, and ontologies. Use when asked to build data agents, configure NL2SQL/NL2DAX/NL2KQL experiences, write agent instructions, create example queries, automate data agent provisioning via REST API or PowerShell, integrate Fabric data agents with Azure AI Foundry, or troubleshoot data agent configuration issues. Use when this capability is needed.

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Production-ready Docker configurations, multi-stage builds, and deployment best practices Use when this capability is needed.

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CI/CD pipeline for Android AI agents. Use this skill whenever setting up GitHub Actions Use when this capability is needed.

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Development Pipeline Skill

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Terraform Test Skill

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Build end-to-end ML pipelines with automated data processing, training, validation, and deployment using Airflow, Kubeflow, and Jenkins Use when this capability is needed.

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Start and verify the local Docker CDC lab (dvdrental), run the PostgreSQL load generators, reset Databricks tables, trigger Databricks notebook jobs through databricks.sdk, and check whether Bronze/Silver notebooks completed successfully. Use when Codex needs to bring up the repo's local infrastructure, generate CDC traffic, reset or clean Databricks tables, execute Databricks jobs, poll run status, inspect failures, or validate notebook outputs for this lab. Use when this capability is needed.

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Lightweight Kubernetes provides container orchestration for resource-constrained Use when this capability is needed.

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Implement GitOps continuous delivery for Kubernetes using ArgoCD or Flux. Use for automated deployments with Git as single source of truth, pull-based delivery, drift detection, multi-cluster management, and progressive rollouts. Use when this capability is needed.

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Optimizes Godot 4.x rendering pipeline including renderer selection, 2D batching, occlusion culling, LOD configuration, draw call reduction, and material/shader optimization. Detects rendering bottlenecks and applies targeted optimizations for 60+ FPS performance. Use when this capability is needed.

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Expert knowledge for Azure Data Api Builder development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when defining DAB entities, securing Entra ID/JWT access, exposing REST/GraphQL, or deploying on Azure, and other Azure Data Api Builder related development tasks. Not for Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure API Management (use azure-api-management), Azure SQL Database (use azure-sql-database). Use when this capability is needed.

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Expert knowledge for Azure AI Language development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building CLU, custom NER, text classification, CQA, sentiment, summarization, or health workloads, and other Azure AI Language related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure AI Speech (use azure-speech), Azure Translator (use azure-translator), Azure AI Bot Service (use azure-bot-service). Use when this capability is needed.

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Deploy a blueprint to a real environment, verify it works, run test scenarios, and clean up. Use for end-to-end testing of blueprints. Use when this capability is needed.

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Troubleshooting Deployment & CI/CD

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Manage Compute Engine instances and instance templates. Configure managed instance groups and preemptible VMs. Use when deploying compute resources on GCP. Use when this capability is needed.

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Manage the Bitrix24 development environment using Docker, Makefile, and Cloudpub. Use this skill when you need to start/stop services, check logs, fix tunnel issues, or manage the database. Use when this capability is needed.

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Kubernetes & Cloud-Native Review

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Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure. Use when this capability is needed.

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Git Commit with Conventional Commits

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Use when the user is deciding how to slice Kubernetes YAML into ConfigHub Units — phrases like "one Unit or many?", "how should I split these resources?", "should Deployment and Service be one Unit?", "where do CRDs go?", "Unit per resource or per bundle?", "should my namespace and its RBAC be together?", "per-app or per-namespace?". Applies a short set of rules (CRDs separate; rendered-from-generator stays bundled; otherwise split by ownership / references / lifecycle / blast radius) and routes the user to the right import skill with a concrete Unit-slug plan. Do not load for authoring new YAML (use `config-as-data`), for executing an import the user has already scoped (use the matching `import-from-*` skill), or when the split is already forced by the tool in use (`cub helm install` and `cub gitops import` split CRDs automatically — just run them).

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Methodology for identifying and fixing CrashLoopBackOff and OOMKilled in K8s. Use when this capability is needed.

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Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer). Use when this capability is needed.

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Generate configuration for a team of specialized agents. Use when setting up multi-agent workflows. Use when this capability is needed.

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Create terraform.tfvars for Buildkite Agents

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Use GitLab CI/CD Matrix Expressions to create dynamic 1:1 dependencies between parallel matrix jobs. This simplifies pipeline configuration by avoiding the manual listing of every job combination in `needs`. Use when this capability is needed.

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Guide for using the Netlify CLI and deploying sites. Use when installing the CLI, linking sites, deploying (Git-based or manual), managing environment variables, or running local development. Covers netlify dev, netlify deploy, Git vs non-Git workflows, and environment variable management. Use when this capability is needed.

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tomevault-io Bundle

This skill should be used when the user asks to "integrate DSPy with Haystack", "optimize Haystack prompts using DSPy", "use DSPy to improve Haystack pipeline", mentions "Haystack pipeline optimization", "combining DSPy and Haystack", "extract DSPy prompt for Haystack", or wants to use DSPy's optimization capabilities to automatically improve prompts in existing Haystack pipelines. Use when this capability is needed.

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Terraform / Terragrunt の apply 失敗・部分成功・state ドリフトからの復旧手順を正本化したスキル。「apply が失敗した」「EntityAlreadyExists / AlreadyExists / 409」「孤児リソース」「state とのズレ」「凍結フラグを true に戻したい」「caller を re-enable したい」「module rename」「moved block」「import block」「removed block」「partial apply」「terraform state mv」「destroy -target」等の依頼時に必ず使用する。途中で失敗した apply の残骸が後で衝突する典型事故（部分成功 → 残骸放置 → 設計変更 → 再開時に EntityAlreadyExists）を防ぐためのプロセス。AWS provider を主例として記載するが、原則と判断ツリーは provider 非依存。 Use when this capability is needed.