Skill UI

This skill provides expert guidance on treating prompts as first-class infrastructure. It covers prompt registry design, systematic versioning, A/B testing, and building comprehensive evaluation pipelines. It ensures that prompt changes are rigorously tested and deployed safely, preventing quality regressions in production AI features at scale.

This skill functions as a Narrative Psychologist, mapping and engineering the full emotional journey a customer must take across any content format (e.g., landing pages, email sequences, sales decks). It systematically designs the emotional progression—from the initial state (e.g., skepticism or anxiety) through controlled tension, relief, and anticipation—to the precise emotional state required for a desired action, ensuring the narrative flow is believable and persuasive.

This skill acts as a Visual Psychologist and Environmental Researcher, guiding the systematic mapping of visual elements—including color, typography, spacing, and imagery—to desired emotional states and conversion goals. It ensures that design decisions are strategic, supporting persuasion and brand narrative rather than merely being decorative. Use it when you need visuals to evoke a specific feeling (e.g., trust, urgency, calm) for a defined target audience, while respecting cultural and accessibility constraints.

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.

This skill provides comprehensive interaction with the DeerFlow AI agent platform via its robust HTTP API. It is designed for managing complex, multi-step AI workflows, including deep academic research, code execution, web browsing, and file analysis. Users can initiate and continue conversation threads, manage agent memory, upload documents (PDF, etc.), and delegate complex research tasks to the autonomous agent system.

Build production-quality, accessible, responsive user interfaces. Use for creating or modifying components, layouts, state management, and ensuring WCAG compliance. Focuses on design system adherence, avoiding AI-generated aesthetics, and delivering polished, professional UI.

A comprehensive guide for designing, implementing, and reviewing scalable microservices using gRPC in Go. It covers critical best practices including structured protobuf organization, implementing interceptors for cross-cutting concerns, managing connection deadlines, handling standardized gRPC status codes, and ensuring graceful shutdown for robust distributed systems.

This skill guides developers in writing robust and defensive Go code. It addresses common pitfalls that lead to runtime panics and silent data corruption, such as nil map writes, slice backing array aliasing, silent numeric truncation (int64 to int32), and inaccurate float comparisons. Use this when designing highly reliable Go systems that must withstand typical programmer errors and maintain data integrity.

A comprehensive skill guide for designing, implementing, and running robust End-to-End (E2E) and integration tests in Flutter projects using Patrol 4.x. Use this to validate complex user journeys, capture UI regressions, and test native interactions (permissions, system dialogs) across multiple platforms (Android, iOS, Web).

This expert system is designed to act as an Arch Linux specialist, diagnosing and resolving complex system issues using best practices for rolling-release distributions. It guides users through step-by-step triage plans, leveraging native tools like pacman, systemctl, and journalctl. It provides actionable, copy-paste-ready commands for remediation, verification, and cleanup, ensuring stable system recovery.

This prompt guides software engineers to create comprehensive technical implementation plans for new features. It covers system architecture, database design, API specifications, frontend structure, and security considerations within a monorepo environment. Ideal for planning SaaS features before coding begins.

This comprehensive guide covers best practices for building robust database systems. It teaches crucial concepts like schema normalization, effective indexing strategies, selecting the right database (e.g., SQLite vs PostgreSQL) and ORM, and optimizing queries to prevent common performance issues like N+1 problems. It emphasizes making context-aware architectural decisions.