Discover business architecture patterns skills, compare source repositories and read the instructions for each workflow.
Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and increm...
Orchestrates Gang of Four design pattern implementations across 8 languages. Analyzes user problems to select optimal pattern(s) from creational, structural, and behavioral categories. Provides concrete, produc...
Apply the K.I.S.S principle (Keep It Simple, Stupid) to reduce complexity, improve maintainability, and solve problems elegantly. Use when designing systems, writing code, planning solutions, creating documenta...
Multi-model consultation for SDD specifications providing structured feedback. Coordinates parallel AI reviewers, synthesizes actionable insights, and categorizes findings by feedback type without modifying spe...
LLM-powered documentation generation for narrative architecture docs, tutorials, and developer guides. Uses AI consultation to create contextual, human-readable documentation from code analysis and spec data.
Create and manage Architecture Decision Records (ADRs) for documenting important architectural decisions, tradeoffs, and rationale.
Design event-driven architectures using Kafka, RabbitMQ, event sourcing, CQRS, and saga patterns. Activates when users need help with event-driven design, message queues, event sourcing, or asynchronous communi...
Define and enforce golden paths and best practices for development teams
Expert skill for designing, decomposing, and managing microservices architectures. Activates when users need help with microservices design, service decomposition, bounded contexts, API contracts, or transition...
Helps create, analyze, and maintain Architecture Decision Records
Design and build internal developer platforms for self-service infrastructure
Design disaster recovery strategies including backup, failover, RTO/RPO planning, and multi-region deployment for business continuity.
Implement chaos engineering practices and tools for resilience testing
AI-supervised development workflow. Use when running prep, cook, serve, tidy, or work commands, managing beads issues during sessions, or following prep→cook→serve→tidy cycle. Covers workflow orchestration, gua...
AI Developer following TDD principles in AI-Agentic Scrum. Use when implementing PBIs, managing subtasks, or executing the TDD cycle within Scrum.
Functional programming patterns for reliable TypeScript. Use when modeling state machines, discriminated unions, Result/Option types, branded types, or building type-safe domain models.
DDD and hexagonal architecture with functional core pattern. Use when designing features, modeling domains, breaking down tasks, or understanding component responsibilities.
Use when analyzing cognitive load, code complexity, onboarding difficulty, readability concerns, maintainability issues, or applying Ousterhout principles for deep modules, reducing complexity, and strategic pr...
Use when working with distributed systems, clustering, consensus algorithms, network partitions, CAP tradeoffs, or distributed Erlang/Elixir patterns
Use when implementing or refactoring Elixir code, designing system architecture, working with functional programming patterns, OTP design patterns (GenServer, supervision trees), or needing idiomatic Elixir cod...
Automated detection and enforcement of design system guidelines including dark mode, colors, spacing, typography, focus states, and accessibility compliance
WebSocket real-time updates, SSE broadcasting, event buffering
Assess if IDD fits your project and learn about Intent-Driven Development. Use /intent-assess to evaluate project suitability or /intent-assess --learn for IDD education.
This skill should be used when the user asks to "create module", "add module", "module structure", "use Res type", "return Res", "Res.Ok", "Res.Fail", "IsFailed pattern", "module registration", "module dependen...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.