Cloud, CI/CD, monitoring, and deployment (6.9K skills)
AI PR intake and multi-agent governance for deployless repositories. Use when a repo has high-volume bot or agent PRs, parallel agent work, noisy low-context PRs, merge-queue pressure, CI exhaustion, duplicate fixes, ownership confusion, or review bottlenecks that threaten a single-mainline delivery model.
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Single-mainline governance for deployless repositories. Use after a deployless audit when a repo needs trunk-based branch rules, branch protection, contribution guidance, review gates, merge queue policy, AI PR intake rules, or agent-ready mainline practices.
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Runtime release controls for deployless repositories. Use when a repo needs feature flags, kill switches, capability gates, targeted rollout, remote config, routing rules, or a provider-neutral release-control facade independent of language and provider.
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Implements and reviews push and local notification lifecycles across Flutter, Android, iOS, React Native and Kotlin Multiplatform. Use for FCM/APNs or Expo delivery, token rotation, notification permissions and channels, account bindings, duplicate messages and cold-start tap navigation. Git push and observability alerts are outside this skill.
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Design schemas and write queries for PlanetScale serverless MySQL using branch-based workflows. Ensures index coverage, avoids foreign key anti-patterns, and treats every schema change as a reviewable, reversible deploy request.
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Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.
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Implement GitOps with ArgoCD for declarative Kubernetes deployments.
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Maintain IT asset inventory and configuration management database. Track hardware, software, and cloud resources. Use when managing IT assets.
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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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Deploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.
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Generate Atlas Cloud images and videos through its asynchronous media API with schema-first model selection and credential-safe polling.
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Build, run, and manage OCI/Linux containers as lightweight per-container VMs on Apple-silicon macOS using Apple's open-source container CLI, no Docker daemon required.
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Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.
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Create, modify and validate Apify Actors with scoped inputs, storage schemas, runtime logic and deployment review.
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Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, per
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Integracao completa com Amazon Alexa para criar skills de voz inteligentes, transformar Alexa em assistente com Claude como cerebro (projeto Auri) e integrar com AWS ecosystem (Lambda, DynamoDB, Polly
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Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
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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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Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and inspect billing balance via the AgentMail API.
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Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
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Build container-based Foundry Agents with Azure AI Projects SDK (HostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
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Autonomous DevSecOps & FinOps Guardrails. Guide to reviewing Linux kernel patches, Terraform cost changes and Kubernetes policy with a separately reviewed upstream tool and configured model.
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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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