llm▌

Test C# MCP servers at multiple levels: unit tests for individual tools and integration tests using the MCP client SDK. USE FOR: unit testing MCP tool methods, integration testing with in-memory MCP client/server, end-to-end testing via MCP protocol, testing HTTP MCP servers with WebApplicationFactory, mocking dependencies in tool tests, creating evaluations for MCP servers, writing eval questions, measuring tool quality. DO NOT USE FOR: testing MCP clients (this is server testing only), load or performance testing, testing non-.NET MCP servers, debugging server issues (use mcp-csharp-debug).

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.