AI Agent Skills

Use when development work is complete and you need to prepare for merge. Guides through cleanup, testing, documentation, and creating a well-structured pull request.

Design and implement automated tests for current Minecraft 26.x or legacy 1.21.x mods and plugins using JUnit, MockBukkit, NeoForge Game Tests, or Fabric Game Tests. Use…

Generates client SDK code, API wrapper libraries, request/response models, and language-specific usage patterns for any REST API. Use whenever the user asks to "generate…

Automatically generate comprehensive test cases from API definitions, endpoint descriptions, OpenAPI/Swagger specs, Postman collections, or raw HTTP request/response exa…

Review 3DGS implementation code for correctness, performance bugs, and best practices. Covers CUDA kernels, rendering pipeline, training loop, loss functions. Detects 10…

Migrate NeRF-based methods to 3DGS via the SLAT unified encode-decode framework. Analyzes component compatibility, provides code templates, identifies issues. Covers enc…

Generate CN patent docs (claims, specification, abstract) and software copyright materials from AI/big-data project code or docs. Covers 7 AI domains + big data, 11 clai…

Applies the empiricist, skeptical, and practical reasoning of David Hume, 18th-century Scottish philosopher. Use this skill whenever you encounter questions about episte…

Interactive ROS 2 launch file visualizer for VS Code. Explore and debug launch graphs with an intuitive UI.

Differencify is a library for visual regression testing

A CLI development tool for WebSocket APIs

Securify v2.0

Official code of IterMVS (CVPR 2022)

Use AI-powered code edits, explanations, code generation, error diagnosis, and chat in Visual Studio Code with the official OpenAI API.

A comprehensive collection of cheatsheets for reverse engineering, binary analysis, and assembly programming tools. This repository serves as a one-stop reference for se…

Review skills in any project using a dual-axis method: (1) deterministic code-based checks (structure, scripts, tests, execution safety) and (2) LLM deep review findings…