Develop with
Superpowers

Model Context Protocol (MCP) - Open standard for connecting AI applications to external data sources, tools, and systems. Use for building MCP servers (tools, resources, prompts), clients, understanding protocol architecture, and implementing AI integrations.

ElizaOS - TypeScript framework for building autonomous AI agents with multi-platform support (Discord, Telegram, Twitter, Farcaster), blockchain integration (EVM, Solana), plugin architecture, multi-agent orchestration, and 90+ community plugins

Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design review or architectural assessment of Python code.

Trace knowledge artifact lineage and sources. Find orphans, stale citations. Triggers: "where did this come from", "trace this learning", "knowledge lineage".

This skill provides guidance for writing type-safe, maintainable, and production-quality TypeScript code. It covers TypeScript's advanced type system features, strict mode configuration, module systems, and common design patterns.

Utility for fixing markdown table alignment and spacing. Normalizes column widths, ensures consistent padding, and preserves alignment markers.

This skill provides guidance for writing safe, efficient, and idiomatic Rust code. As the primary language for the Loom project, this skill covers:

Serialization is the process of converting data structures into a format that can be stored or transmitted and later reconstructed. This skill covers JSON best practices, binary formats like Protocol Buffers and MessagePack, schema evolution strategies, and performance considerations.

Event-driven architecture patterns including message queues, pub/sub, event sourcing, CQRS, and sagas. Use when implementing async messaging, distributed transactions, event stores, command query separation, domain events, integration events, data streaming, choreography, orchestration, or integrating with RabbitMQ, Kafka, Apache Pulsar, AWS SQS, AWS SNS, NATS, event buses, or message brokers.

QA Automation Engineer skill. Use this to write or refactor unit tests. Ensures tests follow the project's xUnit, FluentAssertions, and Moq standards.

Use this skill when asked to greet someone or say hello

Interview me about a plan. Triggers on 'interview me'.

Type-safe environment variable validation using Zod with a Drizzle-like schema API. Supports server/public fields, feature flags, either-or constraints, and client-side protection.

Add automatic stream recovery to AI chat with WorkflowChatTransport, start/resume API endpoints, and the useResumableChat hook.

Configure Prettier for code formatting and TypeScript for typechecking. Includes VSCode settings and EditorConfig for consistent code style. Skips ESLint/Biome to avoid config complexity.

Build a custom durable AI agent with full control over streamText options, provider configs, and tool loops. Compatible with the Workflow Development Kit.

Manage environment variables across Vercel environments. Sync with Vercel CLI, handle local overrides, and load env vars in scripts.

Implement feature flags using the Vercel Flags SDK with server-side evaluation, environment-based toggles, and Vercel Toolbar integration.

Generate dynamic social preview images using Next.js file conventions and the next/og library. Server-rendered JSX images cached at build time.

Set up automated agent-driven development with Ralph. Run AI agents in a loop to implement features from user stories, verify acceptance criteria, and log progress for the next agent.