Skill UI

Create repository-based execution contracts for multi-session implementation work, with stable task IDs, evidence gates, checkpoints, and exact resume state for fresh agents.

A comprehensive style guide and implementation toolkit for achieving authentic vintage aesthetics, inspired by 60s-80s retro design. It covers core principles like warm, muted color palettes, subtle noise textures, and classic typography pairings. Provides detailed code examples for Web (CSS), iOS (SwiftUI), and Android (Flutter) to recreate the analog, nostalgic feel in modern applications.

A comprehensive style guide and implementation reference for the Retro Futurism aesthetic. Perfect for designing interfaces that evoke the 1950s and 1960s space age, atompunk, or mid-century modern vibes. It outlines core principles, color palettes, typography, and provides cross-platform code examples (CSS, SwiftUI, Flutter, React Native) to achieve sleek, aerodynamic, chrome finishes.

General reverse-engineering methodology for compiled, obfuscated, packed, or virtualized binaries. Covers GDB, Frida, angr, Unicorn, and Qiling static/dynamic workflows across languages and platforms, with anti-analysis countermeasures and CTF patterns.

This skill addresses vague or ambiguous user requests by initiating a structured, multi-round questioning process. Instead of making assumptions, it systematically clarifies dimensions like audience, scope, tone, and format across several rounds (up to three). This structured approach ensures the resulting output is highly accurate and requires minimal revision cycles.

Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Focuses on position sizing, VaR calculations, and stress testing to protect assets and optimize performance.

RouterBase acts as a unified, OpenAI-compatible API gateway, allowing applications to route requests across diverse large language models (LLMs) like GPT, Claude, and Gemini. It helps developers migrate existing OpenAI SDK calls, implement sophisticated primary/fallback model selection based on cost, latency, and quality, and manage multimodal payloads (image, audio, video) from a single, standardized endpoint.

The RunAPI CLI serves as the dedicated execution layer for interacting with RunAPI's suite of advanced AI models. It allows developers to programmatically generate multimodal content, including images, videos, and music/audio, directly from the terminal or CI/CD pipeline. Users can submit one-off jobs, manage asynchronous tasks, and pass complex JSON request bodies to various services like Suno, Claude, and Gemini, making it essential for robust AI automation workflows.

A critical discipline for managing expenses when integrating paid AI or inference APIs. This guard treats dollar cost as a third complexity dimension, mandating the definition of cost contracts (max calls per run, max budget per run, max budget per day). It enforces best practices for bounding loops, retries, and fan-out, ensuring that code bugs cannot lead to unexpected overspending. Best practice requires configuring hard caps both in the code and at the provider dashboard for defense in depth.

This guide provides comprehensive patterns for designing and implementing secure multi-tenant SaaS applications using shared databases. It covers critical techniques like Row-Level Security (RLS) in PostgreSQL, implementing tenant-aware middleware in TypeScript (Express/Fastify), and enforcing data scoping at the ORM level (Prisma/Drizzle). Learn how to prevent data leakage and manage tenant isolation across shared schemas.

This skill provides command-driven methods to audit and harden security configurations across common SaaS platforms like GitHub, Slack, Google Workspace, and AWS. It covers inventory auditing, OAuth management, identity verification, branch protection, and session policies to prepare for compliance audits and reduce security risks.

This skill provides patterns for managing distributed transactions and long-running business processes. It helps coordinate multi-service transactions, implement compensating transactions, and handle failures in distributed systems. Suitable for building order fulfillment and approval workflows in microservices architectures.