2.1K skills · sorted by relevance
Manage Vercel deployments, projects, environment variables, domains, DNS, and build/runtime logs via REST API. Use when the user wants to deploy, check a deploy status, rotate env vars, attach custom domains, or investigate failed builds without the Vercel MCP installed.
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Deployless delivery-model audit. Use first when adapting any repository toward single-mainline development, automatic deployment from main, runtime release controls, production-trace-driven iteration, AI PR governance, or multi-agent delivery workflows.
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Operational safety for deployless repositories. Use after mainline deployment and runtime release controls are designed, when a repo needs traces, replay tests, observability, rollback drills, smoke checks, compatibility windows, or expand-contract migration safety.
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Implement GitOps with ArgoCD for declarative Kubernetes deployments.
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Deploy Azure resources with ARM templates and Bicep. Create modular deployments and manage dependencies. Use when deploying Azure-native IaC.
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Orchestrates Android development tasks including project creation, deployment, SDK management, and environment diagnostics using the `android` command-line tool.
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Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
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Harden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks.
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Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
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Handles containerization, CI/CD pipelines, and deployment setup.
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Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
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Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
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GitHub Actions, GitLab CI, Jenkins, and automated deployment pipelines
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High-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
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Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.
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Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment.
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Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy.
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Large Language Model development, training, fine-tuning, and deployment best practices.
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Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python
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Instala, valida, registra e verifica novas skills no ecossistema. 10 checks de seguranca, copia, registro no orchestrator e verificacao pos-instalacao.
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Automates Flutter iOS and Android deployment using Fastlane. Use when setting up `fastlane match` for iOS certificate and provisioning profile management, automating TestFlight uploads via `upload_to_testflight`, pushing Android releases to Google Play via `upload_to_play_store`, auto-incrementing build numbers, writing Fastfile lanes for Flutter release workflows, integrating Fastlane with GitHub Actions or Codemagic, or configuring App Store Connect API Key and Google Play Service Account JSON credentials.
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Configures GitHub Actions CI/CD workflows for Flutter projects. Use when creating or editing `.github/workflows/` YAML files for Flutter, integrating subosito/flutter-action, automating `flutter test`, `flutter analyze`, or `dart format` on push or pull_request events, running build_runner in CI, building Android AAB or iOS IPA artifacts, managing keystore or signing secrets in GitHub Secrets, or combining GitHub Actions with Fastlane or Codemagic for the deployment stage.
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Manage Nginx Proxy Manager (NPM) reverse proxy hosts via its REST API using the native Python client npm_api.py. Use when creating, modifying, diagnosing, removing, or cleaning up proxy hosts, or when coordinating Docker service deployments with NPM routing.
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Practical Node.js and Next.js project runbook. Use for Node, Next.js, React, package-manager, build, migration, debugging, testing, security, deployment, and version-verification tasks.
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