Other

Assist with TRON TRX transactions, bandwidth, energy, and TRC-20 token transfers.

JBX ecosystem fee flows and revenue streams for investor understanding. Use when: (1) explaining how JBX captures ecosystem value, (2) describing protocol fee flows, (3) showing revenue streams to JBX holders, (4) explaining NANA and REV relationships, (5) explaining layered fees on revnet cash outs and loans. Covers V5 protocol fees, revnet external protocol fees, the NANA-REV feedback loop, and JBX ownership stakes across ecosystem tokens.

Technical documentation patterns, structure, maintenance, and avoiding common documentation failures.

Load Google Fonts with proper performance, subsetting, and proven font pairings.

スタンレー・ドラッケンミラーの投資哲学と戦略に基づいた投資アドバイスを提供。30年間無敗、年率30%近いリターンを達成した伝説的投資家の思考法を活用し、マクロ経済分析、リスク管理、ポジション構築、市場サイクルの読み方などについて実践的な指導を行う。投資判断、市場分析、リスク管理、ポートフォリオ構築などの相談時に使用。

Use when working with glab attestation commands.

Build backends with PocketBase collections, auth, and realtime.

Kafka Streams topology design expert. Covers KStream vs KTable vs GlobalKTable, topology patterns, stream operations (filter, map, flatMap, branch), joins, windowing strategies, and exactly-once semantics. Activates for kafka streams topology, kstream, ktable, globalkTable, stream operations, stream joins, windowing, exactly-once, topology design.

Guides development of KET (A2 Key for Schools) exam preparation and English learning applications. Supports both English beginners (Pre-A1, A1) and KET prep learners. Use when building listening, speaking, reading, or writing features, Cambridge A2 learning apps, or beginner-friendly English practice.

Get Venezuelan exchange rates - BCV official rate, Binance P2P USDT average, and the gap between them. Use when user asks for Venezuelan dollar rates, brecha cambiaria, dolar BCV, USDT P2P, or exchange rates in Venezuela.

使用 Wan 2.6 模型生成视频。当用户想要图生视频、图片动起来、参考视频生成、视频中主体一致性，或提到 wan、Wan 2.6 时使用此 skill。

Control Home Assistant smart home devices using the Assist (Conversation) API. Use this skill when the user wants to control smart home entities - lights, switches, thermostats, covers, vacuums, media players, or any other smart device. Passes natural language directly to Home Assistant's built-in NLU for fast, token-efficient control.