Skill UI

This skill calculates and validates end-of-line (EOL) resistor loops for intrusion alarm panels like Honeywell, DSC, and Bosch. It handles SEOL, DEOL, and TEOL configurations with wire gauge drop compensation. Use it to size resistors, troubleshoot zone tamper faults, and ensure circuit state discrimination between normal, alarm, and cut conditions.

This skill provides comprehensive patterns and strategies for migrating existing imperative TypeScript code to fp-ts functional programming patterns. It covers converting try/catch, null checks, callbacks, and loops into functional equivalents. Suitable for refactoring existing codebases toward functional programming principles using fp-ts libraries.

Provides core game design principles including core loop design, game design document structure, player psychology, difficulty balancing, and progression systems. Ideal for prototyping engaging game mechanics and evaluating playtests.

Orchestrates game development projects by routing to specialized sub-skills based on platform, dimension, and engine fit. Covers core principles like game loop, pattern selection, input abstraction, performance budgets, AI, and collision strategies. Use when starting or structuring a game project, choosing frameworks, or picking among Phaser, PixiJS, Kaplay, Three.js, Godot, Unity, and more.

The /goal command converts standard agent prompts into persistent, self-correcting loops (plan → act → test → review → iterate). It is designed for long-running, complex engineering tasks like migrations, coverage lifts, or refactoring, ensuring progress is tracked against a verifiable stop condition and mandated documentation.

A comprehensive toolkit for accelerating digital product growth. It covers essential strategies including growth hacking, SEO/ASO optimization, building viral loops, email marketing funnels, CRM implementation, and analyzing the entire customer acquisition lifecycle using AARRR metrics. Ideal for product managers and marketers aiming for exponential business expansion.

Invariant-Guard enforces a correctness-first approach to algorithm design. Instead of writing code and hoping it works, this skill mandates defining the function contract, loop invariants, termination arguments, and all potential edge cases *before* implementation. It is essential for complex algorithms where subtle bugs (like off-by-one errors or missed post-conditions) are common, ensuring mathematically rigorous and verifiable code.

Expert guidance for building production-grade stateful, multi-actor AI agents with LangGraph, covering graph construction, state management, cycles and branching, checkpoint persistence, human-in-the-loop patterns, and the ReAct agent workflow.

This skill enforces an algorithm-first discipline, requiring the user to state the time and space complexity (Big-O), the intended data structure, and the core algorithm family before writing any complex code (loops, queries, recursion). It serves as a critical gatekeeper to prevent common performance pitfalls like O(n²) complexity, N+1 database queries, and brute-force implementation errors, significantly improving code robustness and efficiency.

Architecture and integration sketches for LLM applications, covering RAG retrieval, tool dispatch, agent loops, caching, privacy boundaries and verification requirements before production use.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.

A human-in-the-loop studio for iteratively tuning AI outputs or reviewing complex media/prose. It allows users to directly manipulate visual parameters (color, typography, layout) or annotate documents in real-time, moving beyond static comparison grids or vague prompts. Perfect for designers and content creators who need hands-on, visual feedback.