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production-fast-api-template

by buildwithclaude

Structure and execution rules for a unified, production-ready backend combining domain-oriented FastAPI, Retrieval-Augmented Generation (RAG) and Agentic AI in one codebase on AWS ECS Fargate. Use when scaffolding a new backend; adding a module, API domain, RAG component, agent, tool, workflow, LLM/provider integration or test; deciding where a file belongs; writing async/sync routes, services or clients; offloading blocking or CPU-heavy work (thread pools, process pools, AWS Lambda); designing background jobs, queues (SQS, Celery), workers and scaling; or writing Pydantic schemas, settings (pydantic-settings), serialization, structured LLM outputs, citation validation, agent plans or tool-call arguments; or writing FastAPI dependencies (request validation, auth, access scopes, chaining), REST paths, response models, OpenAPI docs, error responses, database naming and SQL queries, migrations, API tests (async client, dependency overrides) or lint/format setup (ruff); or adding content-s

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Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.

npx @skills-hub-ai/cli install buildwithclaude-production-fast-api-template
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~/.claude/skills/<skill>/SKILL.md

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npx @skills-hub-ai/cli install buildwithclaude-production-fast-api-template --target claude-code
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Frequently asked questions about production-fast-api-template

What does the production-fast-api-template skill do?

Structure and execution rules for a unified, production-ready backend combining domain-oriented FastAPI, Retrieval-Augmented Generation (RAG) and Agentic AI in one codebase on AWS ECS Fargate. Use when scaffolding a new backend; adding a module, API domain, RAG component, agent, tool, workflow, LLM/provider integration or test; deciding where a file belongs; writing async/sync routes, services or clients; offloading blocking or CPU-heavy work (thread pools, process pools, AWS Lambda); designing background jobs, queues (SQS, Celery), workers and scaling; or writing Pydantic schemas, settings (pydantic-settings), serialization, structured LLM outputs, citation validation, agent plans or tool-call arguments; or writing FastAPI dependencies (request validation, auth, access scopes, chaining), REST paths, response models, OpenAPI docs, error responses, database naming and SQL queries, migrations, API tests (async client, dependency overrides) or lint/format setup (ruff); or adding content-s It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.

How do I install the production-fast-api-template skill?

Run `npx @skills-hub-ai/cli install buildwithclaude-production-fast-api-template` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/buildwithclaude-production-fast-api-template/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

Which AI tools does production-fast-api-template work with?

production-fast-api-template runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Is the production-fast-api-template skill free?

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

How do I use production-fast-api-template after installing it?

In Claude Code, type `/buildwithclaude-production-fast-api-template` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Can I share the production-fast-api-template skill with my team?

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.