Loading...
Loading...
Found 3,316 Skills
Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.
Automatically reminds when important story elements (characters, plot lines, foreshadowing) haven't appeared for 10+ chapters - prevents 'disappeared character syndrome' and dropped plot threads in long-form fiction
Design and build multi-agent harness architectures for long-running AI application development. GAN-inspired Generator-Evaluator pattern, Sprint Contract negotiation, context management, quality criteria calibration. Based on Anthropic Engineering patterns. Use when: "build a harness", "multi-agent architecture", "agent orchestration", "generator-evaluator", "long-running app", "harness design", "agent pipeline", "quality evaluation loop", "sprint contract", "build app with agents", "Claude Agent SDK architecture", or when building complex full-stack apps that need planning → generation → evaluation cycles. Also use when discussing context degradation, self-evaluation bias, or assumption testing in AI workflows.
Validate Clerk authentication configuration and detect deprecated patterns. Ensures proper proxy.ts usage (Next.js 16), ClerkProvider setup, and modern auth patterns. Use before any Clerk work or when auditing existing auth implementations.
Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks. Triggers: "image analysis", "computer vision", "OCR", "object detection", "ImageAnalysisClient", "image caption".
Create Hytale models and animations using Blockbench MCP tools. Use when working with Hytale character/prop formats, creating attachments, setting shading modes, using quads, or animating with visibility keyframes. Requires the Hytale Blockbench plugin to be installed.
Resource recommendation article generator with multi-turn workflow and domain adaptation. Creates structured articles with verifiable data, proper formatting, and professional style. Use when user explicitly requests to generate/write/create a recommendation article (生成/写/创建 + 推荐文章/资源列表). Must include both action + article intent. Don't trigger on simple questions like "推荐几个工具".
Unity UI development with UGUI and UI Toolkit. PROACTIVELY activate for: (1) building Unity user interfaces, (2) UGUI (Canvas, RectTransform, anchors), (3) UI Toolkit (USS, UXML, VisualElement), (4) EventSystem and input handling, (5) common UI components (buttons, scroll views, dropdowns), (6) inventory UIs, HUDs, health bars, menu systems, (7) TextMeshPro setup and rich text, (8) responsive UI (anchors, layout groups), (9) runtime UI generation, (10) world-space canvases for in-game UI. Provides: UGUI vs UI Toolkit comparison, RectTransform patterns, USS/UXML examples, layout group recipes, and TextMeshPro templates.
Intelligent Git Flow branch creator that analyzes git status/diff and creates appropriate branches following the nvie Git Flow branching model.
Use when writing blog posts or documentation markdown files - provides writing style guide (active voice, present tense), content structure patterns, and MDC component usage. Overrides brevity rules for proper grammar. Use nuxt-content for MDC syntax, nuxt-ui for component props.
Build Unity games with optimized C# scripts, efficient rendering, and proper asset management. Masters Unity 6 LTS, URP/HDRP pipelines, and cross-platform deployment. Handles gameplay systems, UI implementation, and platform optimization. Use PROACTIVELY for Unity performance issues, game mechanics, or cross-platform builds.
Query NVIDIA PTX ISA 9.1, CUDA Runtime API 13.1, Driver API 13.1, Programming Guide v13.1, Best Practices Guide, Nsight Compute, Nsight Systems local documentation. Debug and optimize GPU kernels with nsys/ncu/compute-sanitizer workflows. Use when writing, debugging, or optimizing CUDA code, GPU kernels, PTX instructions, inline PTX, TensorCore operations (WMMA, WGMMA, TMA, tcgen05), or when the user mentions CUDA API functions, error codes, device properties, memory management, profiling, GPU performance, compute capabilities, CUDA Graphs, Cooperative Groups, Unified Memory, dynamic parallelism, or CUDA programming model concepts.