Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
21.178 de skill-uri din 778 de depozite · actualizat acum 6 minute
1.331 de skill-uri
- ml-ops-engineerborghei/Claude-SkillsMLOps across model deployment, ML pipelines, monitoring, and feature stores. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature stores, or automating ML CI/CD workflows.DevOpsFără avertismente★ 969↓ —
- azure-pricesCode-and-Sorts/awesome-copilot-agentsLook up and compare Azure service pricing using the Azure Retail Prices API. Use this skill whenever the user asks about Azure costs, pricing, rates, or wants to compare prices across regions or services — even if they don't say "pricing" explicitly. Trigger for questions like "how much does a D2 v2 VM cost?", "cheapest region for Azure SQL", or "compare storage prices between eastus and westeurope".DevOpsFără avertismente★ 586↓ —
- env-secrets-managerborghei/Claude-SkillsEnvironment and secrets management lifecycle: .env scaffolding, validation, leak detection, and rotation across Vault, AWS SSM, 1Password, and Doppler. Use when setting up projects, scanning for leaked secrets, or rotating credentials.DevOpsFără avertismente★ 969↓ —
- OpenAI Apps MCPcoco-research/cocoBuild ChatGPT apps with MCP servers on Cloudflare Workers. Extend ChatGPT with custom tools and interactive widgets (HTML/JS UI). Use when: developing ChatGPT extensions, implementing MCP servers, or troubleshooting CORS, widget 404s, MIME types, ASSETS binding errors, Next.js integration issues, or edge platform limitations.DevOpsFără avertismente★ 961↓ —
- draw-iosoftaworks/agent-toolkitdraw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.DevOpsFără avertismente★ 2,6 K↓ —
- observability-designerborghei/Claude-SkillsDesign observability strategies: SLI/SLO frameworks, alerting, and dashboards. Use when instrumenting a production service, tuning alert rules, designing Grafana dashboards, defining SLOs and error budgets, or reducing alert fatigue.DevOpsFără avertismente★ 969↓ —
- testdriver:aws-setuptestdriverai/testdriveraiDeploy TestDriver on your AWS infrastructure using CloudFormationDevOpsFără avertismente★ 465↓ —
- ms365-tenant-managerborghei/Claude-SkillsMicrosoft 365 tenant administration for Global Administrators. Use for tenant setup, Azure AD user management, Exchange Online and Teams config, Conditional Access policies, license management, and PowerShell bulk-operation scripts.DevOpsFără avertismente★ 969↓ —
- testdriver:aws-setuptestdriverai/testdriveraiDeploy TestDriver on your AWS infrastructure using CloudFormationDevOpsFără avertismente★ 465↓ —
- testdriver:enterprisetestdriverai/testdriveraiSelf-hosted enterprise deployments with assisted setup and dedicated supportDevOpsFără avertismente★ 465↓ —
- enforcing-stability-in-ciskydoves/compose-performance-skillsUse this skill to set up a CI gate that fails the build when Compose stability silently regresses, using the `skydoves/compose-stability-analyzer` Gradle plugin (primary) or the `j-roskopf/ComposeGuard` plugin (alternative for non-Android multiplatform). Covers applying `com.github.skydoves.compose.stability.analyzer`, configuring the `composeStabilityAnalyzer { stabilityValidation { ... } }` DSL, generating a `.stability` baseline with `:stabilityDump`, committing it to version control, and wiring `:stabilityCheck` into a GitHub Actions or other CI job. Use when the team wants a stability SLO, when an unstable parameter slipped into a shared data class and went unnoticed until jank was reported, when migrating a large app to strong skipping, or when the user mentions stabilityCheck, stabilityDump, baseline drift, ComposeGuard, or "fail the build on stability regression".DevOpsFără avertismente★ 519↓ —
- aws-cdk-developmentzxkane/aws-skillsAWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.DevOpsFără avertismente★ 370↓ —
- aws-agentic-aizxkane/aws-skillsAWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.DevOpsFără avertismente★ 370↓ —
- aws-solution-architectalirezarezvani/claude-code-skill-factoryExpert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and infrastructure-as-codeDevOpsFără avertismente★ 893↓ —
- model-servingancoleman/ai-design-componentsLLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns.DevOpsFără avertismente★ 524↓ —
- deploying-on-azureancoleman/ai-design-componentsDesign and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.DevOpsFără avertismente★ 524↓ —
- writing-github-actionsancoleman/ai-design-componentsWrite GitHub Actions workflows with proper syntax, reusable workflows, composite actions, matrix builds, caching, and security best practices. Use when creating CI/CD workflows for GitHub-hosted projects or automating GitHub repository tasks.DevOpsFără avertismente★ 524↓ —
- deploying-on-gcpancoleman/ai-design-componentsImplement applications using Google Cloud Platform (GCP) services. Use when building on GCP infrastructure, selecting compute/storage/database services, designing data analytics pipelines, implementing ML workflows, or architecting cloud-native applications with BigQuery, Cloud Run, GKE, Vertex AI, and other GCP services.DevOpsFără avertismente★ 524↓ —
- implementing-mlopsancoleman/ai-design-componentsStrategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model governance.DevOpsFără avertismente★ 524↓ —
- hunt-cloudEncod3d-Sec/TORCHCloud attack hunting for AWS / Azure / GCP - credential discovery, metadata SSRF, IAM privesc, service enumeration, persistence. Scope + billing aware. Wiki-first, FIND schema output.DevOpsVerifică întâi★ 334↓ —
- using-timeseries-databasesancoleman/ai-design-componentsTime-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.DevOpsFără avertismente★ 524↓ —
- writing-infrastructure-codeancoleman/ai-design-componentsManaging cloud infrastructure using declarative and imperative IaC tools. Use when provisioning cloud resources (Terraform/OpenTofu for multi-cloud, Pulumi for developer-centric workflows, AWS CDK for AWS-native infrastructure), designing reusable modules, implementing state management patterns, or establishing infrastructure deployment workflows.DevOpsFără avertismente★ 524↓ —
- implementing-gitopsancoleman/ai-design-componentsImplement 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.DevOpsFără avertismente★ 524↓ —
- managing-secretsancoleman/ai-design-componentsManaging secrets (API keys, database credentials, certificates) with Vault, cloud providers, and Kubernetes. Use when storing sensitive data, rotating credentials, syncing secrets to Kubernetes, implementing dynamic secrets, or scanning code for leaked secrets.DevOpsFără avertismente★ 524↓ —