YouTube MCP for Claude & ChatGPT
TubeLab은 Claude와 ChatGPT용 YouTube MCP 서버로, 실제 채널·바이럴 영상·전사 등을 AI 채팅에서 제공합니다
22개의 조합 가능한 자동 트리거 스킬로 AI 코딩 에이전트를 수석 엔지니어 수준으로 만들어 아이디어부터 배포 가능한 문서까지 지원한다
22 composable, auto-triggering skills that turn your AI coding agent into a principal engineer — from raw idea to production-ready documentation.
스킬JavaScript · PythonGitHub @fattain-naime온라인운영자 미확인
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22 composable, auto-triggering skills engineering documentation skills covering the complete software lifecycle: spec, feasibility, architecture, design, API, database, ADR, security, deployment, operations, and incident review
README 전체를 불러오는 중입니다.
README 전문 보기 ↗22 composable, auto-triggering skills that turn your coding agent into a principal engineer - from raw idea to production-ready documentation.
Your coding agent is powerful, but it doesn't know your project's architecture, your users, or your constraints. Engineering Docs gives it principal-level documentation skills — so it can:
The plugin works through a structured workflow:
npx engineering-docs
Or install for your specific agent:
| Agent | Install Command |
|---|---|
| Claude Code | /plugin marketplace add fattain-naime/engineering-docs/plugin install engineering-docs@engineering-docs |
| Gemini CLI | gemini extensions install https://github.com/fattain-naime/engineering-docs |
| Cursor | npx engineering-docs --cursor |
| Goose | npx engineering-docs --goose |
| Pi | npx engineering-docs --pi |
| OpenCode | npx engineering-docs --opencode |
| Kilo Code | npx engineering-docs --kilo |
| Roo Code | npx engineering-docs --roo |
| Cline | npx engineering-docs --cline |
| Kimi Code | /plugins install https://github.com/fattain-naime/engineering-docs |
| Codex | npx engineering-docs --codex |
| Copilot CLI | npx engineering-docs --copilot |
| Factory Droid | npx engineering-docs --factory |
See Installation for detailed instructions.
graph LR
A[Your Idea] --> B[Orchestrator]
B --> C[Interview]
C --> D[Business Concept]
D --> E[Project Plan]
E --> F[Technical Spec]
F --> G[System Architecture]
G --> H[API Design]
H --> I[Implementation Plan]
I --> J[Test Strategy]
J --> K[Deployment Plan]
K --> L[Master Index]
Smart features:
Discovery & Planning
| Skill | What It Produces |
|---|---|
using-engineering-docs | Orchestrator — routes to all other skills automatically |
business-concept | Problem, users, value proposition, monetization, constraints |
project-plan | Scope, milestones, RACI, timeline, work breakdown |
user-personas-behavior | User personas, JTBD, success metrics, analytics plan |
Specification & Feasibility
| Skill | What It Produces |
|---|---|
technical-specification | SRS/TSD with EARS syntax, traceability matrix |
technical-feasibility-study | Go/no-go recommendation with evidence |
Architecture & Design
| Skill | What It Produces |
|---|---|
system-architecture-document | C4 diagrams, 4+1 views, tech stack, NFRs |
architecture-decision-record | Immutable ADR log (MADR format) |
database-design-document | ERD, schema, indexing, migration plan |
api-design-document | REST/OpenAPI 3.1 contract, RFC 7807 errors |
admin-access-control-specification | RBAC matrix, audit logging, break-glass |
technical-blueprint | Google/Stripe-quality TDD per feature |
ux-flow-specification | User journeys, screen flows, UI states |
design-system-specification | Design tokens, components, accessibility |
Quality & Risk
| Skill | What It Produces |
|---|---|
security-threat-model | STRIDE analysis, attack surface, mitigations |
test-strategy-document | Testing pyramid, CI gates, coverage targets |
implementation-plan | Dependency-ordered build sequence, phase gates |
여기까지가 README 앞부분입니다. 나머지는 원문에서 읽을 수 있습니다. README 전문 보기 ↗