llm▌

Create MCP servers using the C# SDK and .NET project templates. Covers scaffolding, tool/prompt/resource implementation, and transport configuration for stdio and HTTP. USE FOR: creating new MCP server projects, scaffolding with dotnet new mcpserver, adding MCP tools/prompts/resources, choosing stdio vs HTTP transport, configuring MCP hosting in Program.cs, setting up ASP.NET Core MCP endpoints with MapMcp. DO NOT USE FOR: debugging or running existing servers (use mcp-csharp-debug), writing tests (use mcp-csharp-test), publishing or deploying (use mcp-csharp-publish), building MCP clients, non-.NET MCP servers.

Search and compare OpenRouter's 350+ LLMs by cost, speed (throughput/latency/uptime), context length, modalities, and use-case category; pick the best fit; then build with it via OpenAI-compatible chat completions. API-first — no scraping, no auth for reads.

Automated LLM-driven hypothesis generation and testing on tabular datasets.

Evidence-based patterns for configuring LLM parameters, based on APOLLO and Godel-Prover research.

Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.

llm-application-dev

Access 100+ language models via inference.sh CLI.

NVIDIA's open-source library for optimizing LLM inference with state-of-the-art performance on NVIDIA GPUs.

Skill by ara.so — Daily 2026 Skills collection.

Your localLLM repo provides a full local LLM toolchain on Apple Silicon: setup scripts, a rich CLI chat launcher, benchmarks, and diagnostics. The operational path is: install Ollama, ensure the service is running, initialize the venv, pull models, then launch chat or benchmarks.