Phase MODEL - Génère specs + ADR + rules

Expert in .faf (Foundational AI-context Format) files for persistent project context. Use when working with .faf files, project DNA, CLAUDE.md bi-sync, faf-cli commands, MCP server configuration, or AI-readiness scoring (0-100%). Updated for v2.8.0 Tool Visibility System.

Accessibility: WCAG compliance, assistive technologies, inclusive design.

AI agents: autonomous agents, multi-agent systems, LangChain, LlamaIndex, MCP.

API development: REST, GraphQL, OpenAPI, versioning, auth, rate limiting.

Automation & tooling specialist: browser automation, CI/CD, monorepo, performance testing, feature flags. 23 methodologies.

Backend orchestrator: coordinates systems (Go, Rust, DB) and enterprise (Java, C#, PHP, Ruby).

Communication: stakeholder dialogue, Mom Test, conflict resolution, feedback, storytelling.

DevOps orchestrator: infrastructure and CI/CD.

SDD feature executor: sequential task execution with quality gates, test validation.

Frontend: Tailwind, CSS-in-JS, design tokens, UI libraries, PWA, accessibility.

Growth marketing: experiments, analytics, A/B testing, AARRR metrics, retention.

Marketing orchestrator: GTM, content, growth, conversion optimization.

ML/AI orchestrator: LLM integration, RAG, ML Ops, agents, multimodal.

Agile PM specialist: Scrum, Kanban, SAFe ceremonies, PM tools (Jira, Linear, ClickUp, GitHub, Azure DevOps), dashboards, team development, AI in PM, hybrid delivery. 28 methodologies.

Traditional PM specialist: PMBoK knowledge areas (scope, schedule, cost, risk, quality, stakeholder, resources), EVM, WBS, project lifecycle, PMBoK 7/8 framework. 22 methodologies.

PM orchestrator: coordinates agile and traditional PM approaches.

Python development: Django, FastAPI, async patterns, testing, type hints.

RAG engineering: embeddings, chunking, vector databases, hybrid search, reranking.

Research: idea generation, market research, competitors, personas, pricing, validation.

SDD planning: specifications, design docs, implementation plans, task creation.

SDD workflow: specs, designs, implementation plans, quality gates.

Full-stack development: Python, JavaScript, Go, APIs, testing, frontend.

Testing: unit, integration, E2E, TDD, mocking, security testing.

UI design: wireframes, prototypes, design systems, visual design.

UX research: user interviews, usability testing, personas, journey maps.

UX/UI orchestrator: user research, UI design, accessibility.

Generate realistic fake content for HTML prototypes. Use when populating pages with sample text, products, testimonials, or other content. NOT generic lorem ipsum.

**Use this skill when**: Writing tests, fixing bugs, adding features, or modifying gateway layers in Python projects.

Gera FakeBuilders para agregados DDD usando Chance.js seguindo padrão do projeto com PropOrFactory, type augmentation e dados realistas para testes.

Use when writing Vague (.vague) files that need realistic test data using faker generators for names, emails, addresses, dates, and more

Complete fal.ai model selection system. PROACTIVELY activate for: (1) Choosing image generation models (FLUX, SDXL), (2) Choosing video models (Kling, Sora, LTX), (3) Choosing audio models (Whisper, ElevenLabs), (4) Model quality vs speed comparison, (5) Cost optimization by model tier, (6) 3D generation models, (7) Model-specific parameters, (8) Development vs production model selection. Provides: Model comparison tables, decision trees, pricing tiers, performance benchmarks. Ensures optimal model selection for quality, speed, and cost.

Complete fal.ai text-to-video system. PROACTIVELY activate for: (1) Kling 2.0/2.5/2.6 Pro video generation, (2) Sora 2 for creative videos, (3) LTX Video with audio, (4) Runway Gen-3 Turbo for fast iteration, (5) Luma Dream Machine, (6) Video duration and aspect ratio, (7) Motion prompt engineering, (8) Camera movement keywords. Provides: Model endpoints, quality tiers, prompt structure, duration options. Ensures cinematic video generation with proper motion description.

Execute deep research protocols using the Falcon specialized research framework.

Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill when designing or implementing Python backend services that require maintainability, testability, and scalability.

Build FastAPI applications with async patterns, Pydantic validation, dependency injection, and modern Python API practices.

Master FastAPI dependency injection for building modular, testable APIs.

Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment. Use when deploying FastAPI apps, setting up production environments, containerizing applications, configuring cloud platforms, implementing health checks, managing environment variables, setting up reverse proxies, or when user mentions Docker, Railway, DigitalOcean, AWS, deployment configuration, production setup, or container orchestration.

[Extends backend-developer] Python FastAPI specialist. Use for FastAPI apps, async endpoints, Pydantic v2, SQLAlchemy async, dependency injection. Invoke alongside backend-developer for Python API projects.

Scaffolds a new FastAPI endpoint with Pydantic models, router registration, and tests. Use when creating new backend API endpoints. Related: pydantic-model-scaffolder for complex model validation.

Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.

Enterprise-grade FastAPI development covering complete full-stack architecture with Next.js/React frontend, Neon Serverless PostgreSQL, SQLModel ORM, security hardening, payment integrations (Stripe, JazzCash, EasyPaisa), async patterns, real-time features, microservices, and production deployment. Use when building APIs, integrating with databases, implementing authentication/authorization, payment systems, real-time functionality, or deploying to production.

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Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAPI projects, building APIs, implementing CRUD operations, setting up authentication/authorization, integrating databases (SQL/NoSQL), adding middleware, handling WebSockets, or deploying FastAPI applications. Triggered by requests involving .py files with FastAPI code, API endpoint creation, Pydantic models, or FastAPI-specific features.

Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies

FastAPI_Pytest_TDDHelper

Expert in securing FastAPI applications with JWT tokens and Better Auth. Use this when implementing authentication middleware, route protection, and user isolation.

Initialize FastAPI backend projects with UV package manager, configure project structure, install dependencies, and set up basic FastAPI application. Use when setting up a new FastAPI backend or initializing the backend directory for Phase 2.

FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.