云平台

浏览 AWS、Azure、GCP 和云基础设施的 agent skills。构建和部署云原生应用。

跨X、LinkedIn、Threads和Bluesky的多平台内容分发。使用内容引擎模式根据平台适配内容。从不跨平台发布相同内容。当用户希望跨社交平台分发内容时使用。

Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.

modal-serverless-gpu

NousResearch/hermes-agent

Serverless GPU cloud for ML jobs and model APIs.

anomalyco/opencode

Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task.

mcp-integration

anthropics/claude-code

This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.

land-and-deploy

garrytan/gstack

Land and deploy workflow. (gstack)

garrytan/gstack

Router for the gstack skill suite. (gstack)

v3-security-overhaul

Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.

Build, flash, and provision an ESP32-S3/C6 CSI node for RuView — firmware variant choice, ESP-IDF Windows-subprocess flow, NVS/WiFi/channel/MAC-filter overrides.

ruview-configure

Configure RuView — ESP32 sdkconfig variants, NVS provisioning, WiFi channel / MAC filter overrides (ADR-060), edge intelligence modules (ADR-041), sensing-server flags, multi-node mesh, and Cognitum Seed integration. Use when adjusting how a deployed RuView system behaves without changing code.

paperclipai/paperclip

Publish static HTML pages and asset folders to the Paperclip S3/CloudFront page host. Use when asked to deploy, host, or share a persistent page, viewer, prototype, report, or static site without here.now.

v3-security-overhaul

Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.

Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer

gui-onboarding-verification-skill

warpdotdev/warp

GUI desktop app only. Launch two parallel Oz cloud agents with computer use to download and install the latest stable Linux Warp build, capture screenshots while walking through first-time onboarding in both logged-out and logged-in states, then selectively fan out follow-up cloud agents for distinct onboarding branches proposed by those initial explorers. Use this whenever the user asks to test, document, screenshot, or walk through the Warp first-time install/onboarding experience in a cloud Linux environment.

warpdotdev/warp

Use Warp's REST API and command line to run, configure, and inspect Oz cloud agents

MemPalace/mempalace

Initialize a new MemPalace — guided setup for your AI memory palace with ChromaDB backend.

migrate-oai-app

This skill should be used when the user asks to "migrate from OpenAI Apps SDK", "convert OpenAI App to MCP", "port from window.openai", "migrate from skybridge", "convert openai/outputTemplate", or needs guidance on converting OpenAI Apps SDK applications to MCP Apps SDK. Provides step-by-step migration guidance with API mapping tables.

serverless-sandboxes

serverless/serverless

Build, run, and operate isolated or ephemeral compute on AWS with the Serverless Framework `sandboxes` feature (AWS Lambda MicroVMs). Use whenever the user wants to execute untrusted or AI-generated code, run per-session, per-agent, or per-tenant isolated workloads, build a code-execution backend, or mentions Firecracker MicroVMs, the `sandboxes` block in serverless.yml, `serverless dev --sandbox`, `invoke --sandbox`, `logs --sandbox`, RunMicrovm, or AWS Lambda MicroVMs. Trigger even when the user names neither "Serverless Framework" nor "sandbox" but describes an isolated AWS execution environment.

hybrid-cloud-rpc

getsentry/sentry

Guide for creating, updating, and deprecating hybrid cloud RPC services in Sentry. Use when asked to "add RPC method", "create RPC service", "hybrid cloud service", "new RPC model", "deprecate RPC method", "remove RPC endpoint", "cross-silo service", "cell RPC", or "control silo service". Covers service scaffolding, method signatures, RPC models, cell resolvers, testing, and safe deprecation workflows.

migrate-frontend-forms

getsentry/sentry

Guide for migrating forms from the legacy JsonForm/FormModel system to the new TanStack-based form system.

multi-cloud-architecture

wshobson/agents

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

terraform-module-library

wshobson/agents

Build reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

Yeachan-Heo/oh-my-claudecode

Cancel any active OMC mode (autopilot, ralph, ultrawork, ultraqa, swarm, ultrapilot, pipeline, team)

azure-deployment-preflight

github/awesome-copilot

Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision.

azure-devops-cli

github/awesome-copilot

Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI.

azure-static-web-apps

github/awesome-copilot

Helps create, configure, and deploy Azure Static Web Apps using the SWA CLI. Use when deploying static sites to Azure, setting up SWA local development, configuring staticwebapp.config.json, adding Azure Functions APIs to SWA, or setting up GitHub Actions CI/CD for Static Web Apps.

github-copilot-starter

github/awesome-copilot

Set up complete GitHub Copilot configuration for a new project based on technology stack

import-infrastructure-as-code

github/awesome-copilot

Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import addresses from downloaded module source, prevent configuration drift, and produce AVM-based Terraform files ready for validation and planning across any Azure resource type.

power-apps-code-app-scaffold

github/awesome-copilot

Scaffold a complete Power Apps Code App project with PAC CLI setup, SDK integration, and connector configuration

update-avm-modules-in-bicep

github/awesome-copilot

Update Azure Verified Modules (AVM) to latest versions in Bicep files.

anthropics/claude-plugins-official

End-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash/provision/reset an M5Stack or ESP32 board, or says "m5-onboard go".

mcp-integration

anthropics/claude-plugins-official

This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.

Yeachan-Heo/oh-my-codex

Cancel any active OMX mode (autopilot, ralph, ultrawork, ecomode, ultraqa, swarm, ultrapilot, pipeline, team)

langfuse/langfuse

Tune Langfuse infrastructure autoscaling safely across web, web-iso, and web-ingestion. Use when Codex needs to review or change Terraform scale settings, RPM targets, scale-up/scale-down boundaries, min/max task counts, cost/performance tradeoffs, dashboard scaling markers, Datadog event-loop metrics, trace/span evidence, GitHub pull requests, or Linear follow-up tickets for `web`, `web-iso`, or `web-ingestion` containers in the langfuse/infrastructure repository.

ginkgo-cloud-lab

K-Dense-AI/scientific-agent-skills

Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run protein expression and purification (cell-free, E. coli, or Pichia), HiBiT or A280 or LabChip quantification, IVT mRNA/circRNA synthesis, thermal shift / developability assays, Echo-MS enzyme or analyte methods, SPR target onboarding, fluorescent pixel art, or otherwise interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.

K-Dense-AI/scientific-agent-skills

Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.

K-Dense-AI/scientific-agent-skills

Access a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of these open-source tools in the cloud, references app.tamarind.bio/api or the x-api-key header, or needs to submit batches of sequences for structural or biophysical characterization.

add-ollama-tool

nanocoai/nanoclaw

Add Ollama MCP server so the container agent can call local models and optionally manage the Ollama model library.

modal-serverless-gpu

davila7/claude-code-templates

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

cloud-architect

davila7/claude-code-templates

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns.

davila7/claude-code-templates

Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.

davila7/claude-code-templates

Specialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold start optimization, and event-driven architecture with Pub/Sub.

davila7/claude-code-templates

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

terraform-specialist

davila7/claude-code-templates

Expert Terraform/OpenTofu specialist mastering advanced IaC automation, state management, and enterprise infrastructure patterns.

orca-per-workspace-env

Set up, review, debug, or validate Orca per-workspace environment recipes — on-demand, disposable runtimes (cloud sandboxes, VMs, or local) created fresh for each workspace. Covers first-time setup (provider prerequisites, the reusable base snapshot, the coding-agent auth snapshot, credentials, and state), not just the per-workspace lifecycle scripts. Use to stand up per-workspace environments, fix an `environmentRecipes` entry in `orca.yaml`, scaffold provider lifecycle scripts, or resolve an `orca vm recipe doctor` failure.

create-table-hook

Share Alpine tableFeatures, defaults, createAppTable, and createAppColumnHelper with createTableHook. Load when multiple Alpine tables repeat infrastructure; unlike JSX adapters, Alpine has no registered table/cell/header component or context registry.

Register Angular Table v9 instances with injectTanStackTableDevtools inside injection context. Load for reactive table registration, required options.key, enabled or undefined tables, cleanup, Angular isDevMode gating, or explicit production exports.

custom-features

Author a TanStack Table v9 feature plugin across every FeatureMap and API installation surface: state, options, column definitions, table, column, row, cell, header, row-model functions/caches, defaults, prototypes, and table/row/column instance data lifecycles. Load for initTableInstanceData, resetTableInstanceData, constructTableAPIs, or reusable behavior not covered by built-ins, meta, or option composition.