project-architecture
Overview of the project's tech stack, directory structure, and architectural patterns.
Best use case
project-architecture is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Overview of the project's tech stack, directory structure, and architectural patterns.
Overview of the project's tech stack, directory structure, and architectural patterns.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "project-architecture" skill to help with this workflow task. Context: Overview of the project's tech stack, directory structure, and architectural patterns.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/project-architecture/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How project-architecture Compares
| Feature / Agent | project-architecture | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Overview of the project's tech stack, directory structure, and architectural patterns.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Project Architecture & Tech Stack ## Tech Stack - **Framework**: Next.js 15 (App Router) - **Language**: TypeScript - **Styling**: Tailwind CSS v4, CSS Modules (for specific components) - **Docs/Content**: Docusaurus (in `textbook/` directory) - **Auth**: Better Auth (`better-auth`) - **Database**: PostgreSQL (NeonDB) - **ORM**: Drizzle ORM - **UI Components**: Lucide React icons, Custom components ## Directory Structure - `/app`: Next.js App Router pages and layouts. - `/components`: Reusable UI components. - `/auth`: Authentication related components (forms, etc.). - `/lib`: Utility functions and shared logic. - `auth-client.ts`: Better Auth client configuration. - `auth.ts`: Better Auth server configuration. - `/db`: Database schema and connection logic. - `/drizzle`: Migrations. - `/textbook`: Docusaurus instance for documentation/content. - `/src`: Docusaurus source files. ## Key Patterns - **Hybrid App**: Combines a Next.js web app (marketing, auth, dashboard) with a Docusaurus documentation site. - **Auth Integration**: Shared authentication state between Next.js and Docusaurus via cookies/sessions (handled by `AuthBar`). - **Styling**: Global Tailwind styles in `app/globals.css`. Docusaurus has its own theme in `textbook/src/css/custom.css`. ## Development - Run root app: `npm run dev:root` - Run docs app: `npm run dev:docs` - Run both: `npm run dev`
Related Skills
project-to-obsidian
将代码项目转换为 Obsidian 知识库。当用户提到 obsidian、项目文档、知识库、分析项目、转换项目 时激活。 【激活后必须执行】: 1. 先完整阅读本 SKILL.md 文件 2. 理解 AI 写入规则(默认到 00_Inbox/AI/、追加式、统一 Schema) 3. 执行 STEP 0: 使用 AskUserQuestion 询问用户确认 4. 用户确认后才开始 STEP 1 项目扫描 5. 严格按 STEP 0 → 1 → 2 → 3 → 4 顺序执行 【禁止行为】: - 禁止不读 SKILL.md 就开始分析项目 - 禁止跳过 STEP 0 用户确认 - 禁止直接在 30_Resources 创建(先到 00_Inbox/AI/) - 禁止自作主张决定输出位置
project-map-builder
生成或更新用户指定文件夹的 PROJECT_MAP.md。适用于用户要求目录地图/项目地图/代码仓概览/文件夹级说明/更新已有 PROJECT_MAP.md 的场景。必须先询问要扫描的文件夹范围,禁止默认全仓库扫描;支持单目录或多目录(合并或分别生成)。
c4-architecture
Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".
systems-programming-rust-project
You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. Generate complete project structures with cargo tooling, proper module organization, testing
startup-business-analyst-financial-projections
Create detailed 3-5 year financial model with revenue, costs, cash flow, and scenarios
react-native-architecture
Build production React Native apps with Expo, navigation, native modules, offline sync, and cross-platform patterns. Use when developing mobile apps, implementing native integrations, or architecting React Native projects.
projection-patterns
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
multi-cloud-architecture
Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
hig-project-context
Create or update a shared Apple design context document that other HIG skills use to tailor guidance. Use when the user says 'set up my project context,' 'what platforms am I targeting,' 'configure HIG settings,' or when starting a new Apple platform project.
cc-skill-project-guidelines-example
Project Guidelines Skill (Example)
azure-ai-projects-ts
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.
azure-ai-projects-py
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.