autohandai/community-skills

extension-builder

Build, convert, validate, and install Autohand extensions, including Pi adaptations.

deep-research-skills

Run Weizhena's Deep Research workflow in Autohand Code for outline generation, deep web investigation, structured evidence capture, and final research reports.

aaronontheweb-dotnet-skills

Use Aaronontheweb dotnet-skills for Claude Code-oriented .NET maintenance, refactoring, and agent workflows.

claude-code-java

Use claude-code-java for reusable Java project agent infrastructure, conventions, testing, and migration workflows.

claude-skills-for-quarkus

Use Claude skills for Quarkus to build domain-driven Quarkus applications and Java modernization workflows.

dotnet-advanced

Collection of .NET skills for handling specific .NET tasks for special scenarios.

dotnet-ai

AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.

dotnet-aspnetcore

ASP.NET Core web development skills including middleware, endpoints, real-time communication, and API patterns.

dotnet-blazor

Skills for Blazor development: component authoring, interactivity, and web application patterns.

dotnet-data

Skills for .NET data access and Entity Framework related tasks.

dotnet-diag

Skills for .NET performance investigations, debugging, and incident analysis.

dotnet-maui

Skills for .NET MAUI development: environment setup, diagnostics, and troubleshooting.

dotnet-msbuild

Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.

dotnet-nuget

NuGet and .NET package management: dependency management and modernization.

dotnet

C# language server (LSP) integration for coding agents and high-level .NET development skills.

dotnet-skills

Use dotnet/skills for .NET and C# coding-agent guidance, plugins, project analysis, and modernization workflows.

dotnet-template-engine

.NET Template Engine skills: template discovery, project scaffolding, and template authoring.

dotnet-test-migration

Skills and an orchestrator agent for migrating .NET test frameworks and platforms: MSTest and xUnit version upgrades, xUnit-to-MSTest conversion, and VSTest to Microsoft.Testing.Platform.

dotnet-test

Skills for running, generating, analyzing, and improving .NET tests: test execution, filtering, platform detection, coverage, testability, and MSTest workflows.

dotnet-upgrade

Skills for migrating and upgrading .NET projects across framework versions, language features, and compatibility targets.

dotnet11

Skills for new .NET 11 APIs and language features.

legacy-modernization-orchestrator

Orchestrate multi-agent legacy modernization assessment, planning, and code-conversion workflows.

managedcode-dotnet-skills

Use ManagedCode dotnet-skills for installable .NET agent skills, CLI workflows, and migration-oriented guidance.

microsoft-skills

Use microsoft/skills for Azure SDK grounding across .NET and Java agent coding workflows.

nvidia-cuda-q-cudaq-guide

CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.

nvidia-cuopt-developer

Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.

nvidia-cuopt-install

Install cuOpt for Python, C, or as a server (pip, conda, Docker) — system requirements, install commands, and verification. Use when the user wants to install or verify cuOpt for any user-facing interface. For building cuOpt from source or contributing to…

nvidia-cuopt-numerical-optimization-api-c

LP, MILP, and QP (beta) with cuOpt — C API only. Use when the user is embedding LP, MILP, or QP in C/C++.

nvidia-cuopt-numerical-optimization-api-cli

LP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli). Use when the user is solving LP, MILP, or QP from MPS via command line.

nvidia-cuopt-numerical-optimization-api-python

Solve Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and Quadratic Programming (QP, beta) with the Python API. Use when the user asks about optimization with linear or quadratic objectives, linear constraints, integer variables, scheduling,…

nvidia-cuopt-numerical-optimization-formulation

Numerical optimization (LP, MILP, QP) — concepts, problem-text parsing, and formulation patterns. What LP, MILP, and QP are, required formulation questions, modeling elements, common patterns, and how to parse problem statements (parameters, constraints,…

nvidia-cuopt-routing-api-python

Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.

nvidia-cuopt-routing-formulation

Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface.

nvidia-cuopt-server-api-python

cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.

nvidia-cuopt-server-common

cuOpt REST server — what it does and how requests flow. Domain concepts; no deploy or client code.

nvidia-cuopt-skill-evolution

After solving a non-trivial problem, detect generalizable learnings and propose skill updates so future interactions benefit automatically. Always active — applies to every interaction.

nvidia-cuopt-user-rules

Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those.

nvidia-dali-dynamic-mode

Use when writing DALI data loading or preprocessing code with `nvidia.dali.experimental.dynamic` (ndd), or when converting DALI pipeline-mode code to dynamic mode, or when the user asks about DALI dynamic mode, imperative DALI, or ndd. Use this skill any time…

nvidia-deepstream-dev

NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.

nvidia-deepstream-import-vision-model

Use this skill to bring any vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox parser, multi-stream benchmark, and PDF report.…