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Found 517 Skills
TypeScript-first schema validation and type inference. Use for validating API requests/responses, form data, env vars, configs, defining type-safe schemas with runtime validation, transforming data, generating JSON Schema for OpenAPI/AI, or encountering missing validation errors, type inference issues, validation error handling problems. Zero dependencies (2kb gzipped).
Guide for debugging and fixing bugs in the OCaml garbage collector, particularly memory management issues in the runtime's sweeping and allocation code. This skill applies when working on OCaml runtime C code, investigating segfaults in GC operations, or fixing pointer arithmetic bugs in memory managers with size-classed pools and run-length encoding.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
iOS pentesting playbook. Use when testing iOS applications for keychain extraction, URL scheme hijacking, Universal Links exploitation, runtime manipulation, binary protection analysis, data storage issues, and transport security bypass during authorized mobile security assessments.
MCP server for AI-assisted Godot 4 project inspection, editing, validation, and runtime automation via WebSocket bridge
Master control flow for complex Web/JS website restoration. Applicable to reverse engineering of sign/token/cookie/header/body/websocket fields, heavy obfuscation, junk code, control flow flattening, JSVMP, worker/wasm, browser vs. Node.js difference analysis, environment patching, local reproduction and regression. It also covers case clues such as Akamai/Kasada/PX/reese84/TongDun/a_bogus/Tencent slider/Alibaba slider/JSVMP/227/226/wasm/protobuf/rid/fuid/fs/bx-pp/run_js/storage.estimate/animationend. By default, it adopts three MCP collaborative debugging and analysis: jshook + js-reverse + chrome-devtools-mcp, and switches specialized skills in locate, recover, runtime, env-patch, replay stages.
Setup and configure assistant-ui in a project. Use when installing packages, configuring runtimes, or troubleshooting setup issues.
Guides the user through implementing Tauri system tray functionality, including tray icon setup, tray menu creation, handling tray events, and updating the tray at runtime in the notification area.
Use when a program crashes, a test fails, or code produces wrong results and reading the source isn't enough to see why. Lets you pause execution at any line and inspect the actual runtime state, variable values, types, call stacks, to find what went wrong.
Vercel Runtime Cache API guidance — ephemeral per-region key-value cache with tag-based invalidation. Shared across Functions, Routing Middleware, and Builds. Use when implementing caching strategies beyond framework-level caching.
Capability discovery and current-state verification for Heavy Path, ambiguous repo/runtime ownership, and runtime-dependent Standard Path work.
Debug ESP32 firmware issues including compilation errors, runtime panics, memory issues, and communication failures