云服务
云服务与基础设施
migrating-bitnami-to-bitnami-legacy
stakpak
This rule book helps you migrate Bitnami Helm charts and container images from the bitnami repository to the bitnamilegacy repository. This migration is necessary due to Bitnami's transition, effective August 28th, 2025, where existing images will be moved to the legacy repo
cloudflare-workers
stakpak
Deploy serverless applications on Cloudflare Workers. Covers project setup, JavaScript handler patterns, routing, deployment with Wrangler, and API token configuration. Suitable for APIs, proxies, edge computing, and request transformation.
aws-sso-auth-guide
stakpak
AWS SSO discovery, configuration, and terminal usage
infrastructure-cost-estimation
stakpak
Help you discover how much you spend on AWS/GCP/Azure. This rulebook guides practitioners through proper cloud cost calculations, systematic resource discovery (via IaC analysis and live environment enumeration), authoritative pricing research and analysis/estimation.
terrateam-usage-guide
stakpak
A comprehensive guide for configuring and using Terrateam, an open-source GitOps CI/CD platform for Terraform and OpenTofu. Covers configuration file structure, access control, workflows, OIDC authentication, drift detection, and best practices for managing infrastructure through pull requests.
nextjs-on-aws
stakpak
This document compares various AWS deployment options for Next.js applications, analyzing costs, benefits, limitations, and providing recommendations based on different use cases.
cloudflare-tunnel-ec2-deployment
stakpak
Deploy containerized applications to AWS EC2 and expose them publicly via Cloudflare Tunnel with automatic HTTPS. Eliminates need for load balancers, SSL certificates, or public inbound ports.
simple-deployment-on-vm
stakpak
How to do simple but secure deployments using virtual machines on different cloud providers
agent-framework-azure-ai-py
ngxtm
"Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code int..."
aws-cdk-development
derKlinke
Use when building/refactoring AWS infrastructure with CDK (TypeScript/Python), validating stacks, or handling cdk synth/deploy workflows with current AWS documentation checks.
agents-v2-py
ngxtm
"Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry."
cloudflare-deploy
derKlinke
Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.
Agent Framework Azure Hosted Agents
ngxtm
Unified multi-agent skill system for AI coding assistants (Claude Code, Cursor, Copilot, Gemini) with 414+ skills, 38 agents, and 57 commands. Features smart tech detection, per-project installation, and auto-sync from upstream sources.
cloud-cf
Scoheart
使用 wrangler CLI 操作 Cloudflare。当用户提到 Cloudflare、CF、Workers、Pages、R2、D1、KV、CDN、DNS、WAF 等时触发此技能。
@tank/vercel
tankpkg
Vercel deployment and project management using the CLI. Covers all CLI commands (deploy, build, dev, pull, env, domains, dns, logs, promote, rollback), vercel.json configuration (redirects, rewrites, headers, functions, crons, images, regions), CI/CD workflows (GitHub Actions, GitLab CI, preview and production pipelines), environment variable management, domain and DNS setup, serverless and edge functions, and troubleshooting. Synthesizes Vercel CLI docs (2026), vercel.json schema, and production deployment patterns. Trigger phrases: "vercel", "vercel deploy", "vercel cli", "vercel build", "vercel dev", "vercel pull", "vercel env", "vercel domains", "vercel dns", "vercel logs", "vercel promote", "vercel rollback", "vercel.json", "deployment", "preview deployment", "production deployment", "CI/CD vercel", "serverless function", "edge function", "cron job vercel", "vercel monorepo", "vercel turborepo", "vercel domain", "vercel certificate", "deploy to vercel", "vercel environment variables", "vercel preview", "vercel production"
gap-analysis
HikaruEgashira
技術選定や競合分析を行う際に自律的にギャップ分析を行うメタスキルです。 複数の軸で類似概念を調査し、現行システムとのギャップを洗い出し、 なぜそのギャップが生じているのかを自問して戦略を立案します。 Trigger: 技術選定, 競合分析, 改善提案, ギャップ分析
mcp-aws-knowledge-connector
famaoai-creator
status: implemented
cloud-waste-hunter
famaoai-creator
Actively identifies and eliminates unused or over-provisioned cloud resources. Goes beyond estimation to hunt for actual cost savings in live environments.
terraform
vnord
Terraform and OpenTofu best practices for variables, modules, descriptions, resources, plan, and import
connection-manager
famaoai-creator
Manages secure connections to external tools (AWS, Slack, Jira, Box). Validates credentials in the Personal Tier and injects them into the execution context.
ms-agent-framework-docs
jasonz-ncc42
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat adapters, or agent-to-agent communication.
mcp-terraform-connector
famaoai-creator
status: implemented
tofu
poindexter12
OpenTofu infrastructure-as-code reference for HCL syntax, state management, module design, and provider configuration. Use when working with OpenTofu configurations (.tf files), running tofu commands, troubleshooting state issues, or designing modules. Includes Proxmox provider patterns. Triggers: tofu, opentofu, tfstate, .tf files, HCL, modules, providers.
cloud-cost-estimator
famaoai-creator
Estimates monthly cloud infrastructure costs from IaC files (Terraform, CloudFormation). Helps align architecture with budget constraints.