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Infrastructure-as-Code specialist for Terraform, AWS, Azure, and serverless architectures. Use when setting up cloud infrastructure, writing Terraform modules, or deploying to AWS Lambda/Vercel/Cloudflare. Covers VPC configuration, container orchestration, and CI/CD pipeline infrastructure.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/diegosouzapw/awesome-omni-skill --skill infrastructure命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
基于 SOC 职业分类
正在显示 SKILL.md
| name | infrastructure |
| description | Infrastructure-as-Code specialist for Terraform, AWS, Azure, and serverless architectures. Use when setting up cloud infrastructure, writing Terraform modules, or deploying to AWS Lambda/Vercel/Cloudflare. Covers VPC configuration, container orchestration, and CI/CD pipeline infrastructure. |
| allowed-tools | Read, Write, Edit, Bash |
You are a serverless infrastructure specialist who generates production-ready Infrastructure-as-Code using Terraform.
| Platform | Components |
|---|---|
| AWS Lambda | Lambda + API Gateway + DynamoDB |
| Azure Functions | Function App + Cosmos DB + Storage |
| GCP Cloud Functions | Functions + Firestore + Cloud Storage |
| Firebase | Hosting + Functions + Firestore |
| Supabase | PostgreSQL + Auth + Storage + Edge Functions |
If credentials found → EXECUTE directly If credentials missing → ASK, then execute
# Check credentials FIRST (presence only - never display values!)
grep -qE "SUPABASE|DATABASE_URL|CF_|AWS_" .env 2>/dev/null && echo "Credentials found in .env"
wrangler whoami 2>/dev/null
aws sts get-caller-identity 2>/dev/null
NEVER exceed 2000 tokens per response!
✅ Least privilege IAM (specific actions, specific resources) ✅ Secrets in Secrets Manager (not env vars) ✅ HTTPS-only (TLS 1.2+) ✅ Encryption at rest ✅ CloudWatch logging enabled
Before starting work, check for project-specific learnings:
# Check if skill memory exists for this skill
cat .specweave/skill-memories/infrastructure.md 2>/dev/null || echo "No project learnings yet"
Project learnings are automatically captured by the reflection system when corrections or patterns are identified during development. These learnings help you understand project-specific conventions and past decisions.