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Found 161 Skills
Understand the defense-in-depth security architecture of Secure Vibe Coding OS. Use this skill when you need to understand the overall security approach, the 5-layer security stack, OWASP scoring, or when to use other security skills. Triggers include "security architecture", "defense in depth", "security layers", "how does security work", "OWASP score", "security overview", "security principles".
Full-stack backend architecture and frontend-backend integration guide. TRIGGER when: building a full-stack app, creating REST API with frontend, scaffolding backend service, building todo app, building CRUD app, building real-time app, building chat app, Express + React, Next.js API, Node.js backend, Python backend, Go backend, designing service layers, implementing error handling, managing config/auth, setting up API clients, implementing auth flows, handling file uploads, adding real-time features (SSE/WebSocket), hardening for production. DO NOT TRIGGER when: pure frontend UI work, pure CSS/styling, database schema only.
Advanced Effect-TS patterns for typed errors, dependency injection, concurrency, resource management, schema validation, and streaming. Use when building Effect programs — not simple Effect.succeed/fail questions, but multi-concern tasks like designing service layers with Layer composition, handling typed error hierarchies with tagged errors, managing concurrent fibers with structured concurrency, scoped resource lifecycles, schema-driven API contracts, or integrating Effect with existing Express/Hono/database stacks. Do not use for basic TypeScript or general functional programming questions.
Expert DI decisions for iOS/tvOS: when DI containers add value vs overkill, choosing between injection patterns, protocol design for testability, and SwiftUI-specific injection strategies. Use when designing service layers, setting up testing infrastructure, or deciding how to wire dependencies. Trigger keywords: dependency injection, DI, constructor injection, protocol, mock, testability, container, factory, @EnvironmentObject, service locator
Python backend implementation patterns for FastAPI applications with SQLAlchemy 2.0, Pydantic v2, and async patterns. Use during the implementation phase when creating or modifying FastAPI endpoints, Pydantic models, SQLAlchemy models, service layers, or repository classes. Covers async session management, dependency injection via Depends(), layered error handling, and Alembic migrations. Does NOT cover testing (use pytest-patterns), deployment (use deployment-pipeline), or FastAPI framework mechanics like middleware and WebSockets (use fastapi-patterns).
This skill provides reusable implementation patterns extracted from the better-chatbot project for custom AI chatbot deployments. Use this skill when building AI chatbots with server action validators, tool abstraction systems, workflow execution, or multi-AI provider integration in your own projects (not contributing to better-chatbot itself). Use when: building AI chatbot features, implementing server action validators, creating tool abstraction layers, setting up multi-AI provider support, building workflow execution systems, adapting better-chatbot patterns to custom projects Keywords: AI chatbot patterns, server action validators, tool abstraction, multi-AI providers, workflow execution, MCP integration, validated actions, tool type checking, Vercel AI SDK patterns, chatbot architecture
Provides brand messaging architecture, value proposition, and brand pillar development frameworks including Peep Laja's Message Layers, Osterwalder's Value Proposition Canvas, Geoffrey Moore positioning template, April Dunford's Five Components, StoryBrand SB7, Andy Raskin's Strategic Narrative, the Messaging House, and MECLABS quality tests. Auto-activates during messaging framework development, value proposition creation, and brand pillar definition. Use when discussing messaging architecture, value proposition, brand pillars, message layers, messaging house, messaging hierarchy, elevator pitch, Peep Laja, Geoffrey Moore, April Dunford, StoryBrand, Andy Raskin, or MECLABS.
Design and review Rails applications using layered architecture principles from "Layered Design for Ruby on Rails Applications". Use when analyzing Rails codebases, reviewing PRs for architecture violations, planning feature implementations, or implementing patterns like authorization, view components, or AI integration. Triggers on "layered design", "architecture layers", "abstraction", "specification test", "layer violation", "extract service", "fat controller", "god object".
Expert in real-time game animation systems including skeletal animation, blend trees, state machines, inverse kinematics, root motion, procedural animation, and animation retargeting. Specializes in creating fluid, responsive character animation that balances visual quality with performance constraints. Use when "animation system, state machine, blend tree, skeletal animation, inverse kinematics, IK system, root motion, animation blending, character animation, animator controller, motion matching, animation retargeting, foot IK, look at IK, aim offset, animation montage, animation notify, additive animation, animation layers, procedural animation, animation, game-dev, character, state-machine, unity, unreal, godot, skeletal, rigging, motion" mentioned.
Translate Sketch layers into production-ready code with 1:1 visual fidelity using Sketch MCP tools (`run_code`, `get_selection_as_image`) for live design context, screenshots, and asset export. Use when implementing or updating UI from an open Sketch document, current selection, or specific Sketch layer IDs.
Effect v4 (beta) development and v3 → v4 migration guidance. Use when building new Effect v4 code or upgrading from v3, including API renames, behavior changes, before/after examples, and v4-specific patterns for services, layers, generators, yieldable, error handling, and schema codecs.
Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.