Skill UI

Guide for implementing animations in Makepad 2.0 UI development. Covers Animator API, animation groups, states, ease functions, and widget compatibility for hover effects, transitions, and looping animations.

This skill enables users to create and debug animations within the Makepad UI framework. It covers hover states, transitions, timelines, easing functions, and keyframe animations using Rust code. Ideal for building interactive visual feedback in Makepad applications.

This skill provides a marketer's decision framework rather than a tactic library. It helps users determine where first customers come from, evaluate if actions produce results, and judge marketing tests. It analyzes context like product, offer, and budget to return reasoned verdicts on whether to proceed, optimize, or stop a channel. It focuses on exchange value, test volume requirements, and kill rules to ensure data-driven decisions.

This skill provides methodologies for designing sophisticated, layered memory architectures for AI agents. It moves beyond simple context windows and basic vector stores by incorporating short-term, long-term, and graph-based memory systems. Implementing this is crucial for agents that require persistence across sessions, maintaining complex entity consistency, and performing advanced, relationship-driven reasoning over accumulated knowledge bases, including time-aware fact tracking.

A comprehensive mobile design skill enforcing mobile-first, touch-first, platform-respectful principles. It includes a feasibility risk index, mandatory thinking before work, reference reading requirements, and hard bans on performance, UX, and security anti-patterns. Ideal for designing or building mobile apps with optimal user experience and performance.

This skill analyzes data warehouses to identify stale, unused, or redundant tables that increase storage costs. It classifies waste patterns, computes safety tiers, and provides actionable cleanup recommendations. Supports Snowflake, BigQuery, Redshift, and Databricks. Ideal for reducing cloud infrastructure expenses and optimizing data governance.

This skill simulates a highly advanced 'Board of Experts,' consulting multiple specialized personas (e.g., Musk, Buffett, Jobs) simultaneously. It gathers distinct, multi-perspective analyses on any complex topic—from engineering feasibility to market strategy—and synthesizes them into a single, comprehensive, and actionable decision. Ideal for complex strategic planning, product development, and high-stakes investment decisions.

Cross-validate web research across at least two distinct search or retrieval capabilities, then produce an offline-checkable evidence ledger recording source diversity, claim-level confidence, explicit conflicts, and research gaps.

This skill covers core principles for building multiplayer games, including architecture selection (dedicated server, P2P), synchronization strategies (state vs input), network optimization techniques, security measures like server authority and anti-cheat, and matchmaking considerations. It helps developers design robust, secure, and performant online experiences.

This skill transforms vague project ideas into eight structured planning documents for new software projects. It acts as persistent memory, prioritizing user instructions over AI assumptions. It generates PRD, TechSpec, Design, and other files sequentially, ensuring clear architecture and design direction before coding begins. Ideal for starting fresh projects from scratch.

This skill analyzes nutrition data to identify patterns and assess nutritional status. It provides personalized advice for dietary improvement. It can correlate nutrition data with exercise, sleep, and chronic disease information for comprehensive health insights. Users should use it for macro/micronutrient evaluation and dietary trend analysis.

Guides agents through bounded parameter optimization for configurable systems with measurable objectives: define search space, budget, and baseline, run trials one at a time, log evidence, and recommend a configuration for HPO, inference tuning, simulations, or RL/control experiments.