Skill UI

A critical safety mechanism designed to prevent destructive actions when working on or running autonomous agents in production systems. It offers multiple protective modes—Caution, Freeze, and Guard—to monitor and intercept dangerous commands (e.g., rm -rf, git push --force, or unauthorized file writes). This tool is essential for sensitive operations like migrations, deployments, or autonomous agent runs, ensuring code integrity and system stability.

A multi-agent generator-evaluator harness inspired by GANs, designed to build production-grade apps through strict feedback loops, live app testing, and iterative quality improvement.

Guide PM interview candidates through a six-part spoken structure—clarify, rationale, goal, segmentation, pain points, solution—to craft thoughtful product-sense answers for design, improve, or build-next prompts without jumping to solutions too early.

This skill applies principles of behavioral psychology and choice architecture to redesign user experience (UX) flows. It is used when a product's conversion friction is rooted in interaction design, not just copy. By auditing cognitive load, defining optimal default paths, and inserting strategic commitment points, it guides users toward desired actions ethically, maximizing commitment while preserving autonomy. Ideal for improving onboarding, checkout funnels, and complex decision-making sequences.

This skill simulates an advisory council consisting of four specialized sub-agents (Skeptic, Pragmatist, Critic, and Architect). It is designed for high-stakes, ambiguous decision-making where multiple valid paths exist, and clear trade-offs must be weighed. It forces structured dissent to prevent premature consensus or anchoring bias, providing a comprehensive analysis of risks, assumptions, and operational realities before committing to a path. Ideal for strategic product decisions and architectural trade-offs.

Craft production-ready frontend pages, dashboards, or components with a clear visual point of view; focus on typography, color, motion, and layout so the experience feels intentional instead of generic.

A comprehensive guide and utility for applying idiomatic Go patterns, serving as an architectural guide for building robust, production-ready Go applications. It covers best practices for functional options, graceful shutdown, error flow management, resource cleanup, concurrency, and dependency injection, helping developers avoid common pitfalls like using `init()` or unbounded resources. Ideal for code reviews and initial system design.

Guides Go distributed-system engineers through protobuf layout, interceptor design, error handling, TLS/mTLS setup, bufconn testing, and streaming RPC patterns so they can implement, review, and debug real-world gRPC servers and clients with production-grade operability.

A comprehensive workflow designed for Product Managers and technical leads to systematically identify, prioritize, and document missing features in a software project. It guides users through project understanding, gap analysis, applying a scoring matrix for prioritization, developing detailed Minimum Viable Product (MVP) specifications, and structuring the output as actionable development issues (e.g., GitHub Issues) with dependency mapping and workload optimization.

This tool automates the entire process of creating a complete, production-ready application structure solely from an OpenAPI (Swagger) specification. It analyzes the spec to design the application architecture, generating all necessary layers including controllers, service logic, data models (DTOs), and repositories, adhering to best practices, framework conventions, and separation of concerns. The output includes unit tests, configuration files, and setup instructions, providing a robust, ready-to-use codebase.

A comprehensive toolkit designed to automate core Shopify operations via Rube MCP. It provides structured workflows for managing all key aspects of an e-commerce store, including products (listing, creation), orders (tracking, retrieval), customers, collections, and inventory levels. Utilizes direct tool calls for listing, searching, and bulk operations, making it ideal for integrating complex business logic into automated systems.

Guides architects through Dataverse SDK use cases by analyzing requirements, designing data models, selecting integration patterns, and producing production-ready Python code with best practices.