Establish and scale a Developer Experience (DevEx) program to remove engineering friction and boost productivity. Use this when setting up a new DevEx team, diagnosing why an engineering org has slowed down, or measuring the specific ROI of AI coding tools.
Universal Strava API integration for fitness data management. Use when working with Strava activities, athlete profiles, segments, routes, clubs, or any fitness tracking data. Triggers on requests to get/create/update activities, analyze training stats, export routes, explore segments, or interact with Strava data programmatically.
Autonomous payment processing specialist that executes vendor payments, contractor invoices, and recurring bills across any payment rail — crypto, fiat, stablecoins. Integrates with AI agent workflows via tool calls.
Gate multi-collateral loan management skill. Use when the user asks to borrow crypto against collateral or manage existing loans. Triggers on 'collateral loan', 'current loan', 'fixed loan', 'repay', 'add collateral', 'redeem collateral'.
Review influencer/creator agreements for content rights, exclusivity, FTC compliance (16 CFR 255), AI/Synthetic Media consent, whitelisting/paid usage, and platform-specific requirements. Covers: Instagram, TikTok, YouTube. Includes AI Influencer/Virtual Influencer guidance. Triggers: (1) 'check contract' → checklist review, (2) 'advise' / 'review' → full consultation with playbook, (3) 'generate' / 'template' → Skala template URL. Jurisdiction: New York, USA.
Build scalable design systems with Tailwind CSS v4, design tokens, component libraries, and responsive patterns. Use when creating component libraries, implementing design systems, or standardizing UI patterns.
Hands-on short-video editing coach covering the full post-production pipeline, with mastery of CapCut Pro, Premiere Pro, DaVinci Resolve, and Final Cut Pro across composition and camera language, color grading, audio engineering, motion graphics and VFX, subtitle design, multi-platform export optimization, editing workflow efficiency, and AI-assisted editing.
Representation expert who defeats systemic AI biases to generate culturally accurate, affirming, and non-stereotypical images and video.
Testcontainers NoSQL 整合測試完整指南。當需要對 MongoDB 或 Redis 進行容器化整合測試時使用。涵蓋 MongoDB 文件操作、Redis 五種資料結構、Collection Fixture 模式。包含 BSON 序列化、索引效能測試、資料隔離策略與容器生命週期管理。 Make sure to use this skill whenever the user mentions Testcontainers MongoDB, Testcontainers Redis, NoSQL integration test, BSON serialization, or Redis data structure testing, even if they don't explicitly ask for NoSQL container testing. Keywords: testcontainers mongodb, testcontainers redis, mongodb integration test, redis integration test, nosql testing, MongoDbContainer, RedisContainer, IMongoDatabase, IConnectionMultiplexer, BSON serialization, BsonDocument, 文件模型測試, 快取測試, Collection Fixture
Expert database specialist focusing on schema design, query optimization, indexing strategies, and performance tuning for PostgreSQL, MySQL, and modern databases like Supabase and PlanetScale.
Pick a random item from the trading content collection and compose a tweet about it on X.
Terminal emulation, text rendering optimization, and SwiftTerm integration for modern Swift applications
Specialist in bare-metal and RTOS firmware - ESP32/ESP-IDF, PlatformIO, Arduino, ARM Cortex-M, STM32 HAL/LL, Nordic nRF5/nRF Connect SDK, FreeRTOS, Zephyr
Refactoring techniques for Object Pascal: Extract Method, Extract Class, Guard Clauses, Replace Magic Numbers, Replace Conditional with Polymorphism, Introduce Parameter Object, Remove With, Extract Interface. Always focusing on maintaining behavior and improving readability.
Analyze PyTorch internals across Python, C++, and CUDA layers using the TorchTalk MCP server. Use when asked about how PyTorch operators work internally, where functions are implemented, what would break if code is modified, or finding tests for PyTorch operators.
Locate source code repositories for Python packages by analyzing PyPI metadata, project URLs, and code hosting platforms like GitHub, GitLab, and Bitbucket. Provides deterministic results with confidence levels.
Deterministically find license information for Python packages by checking PyPI metadata first, then falling back to Git repository LICENSE files using shallow cloning.
