Developer Tool / AI Evaluation / Agent Skill
A GitHub repo that teaches users how to write and debug evals through an agent-guided skill called learn-evals. It includes setup steps, exercises, examples, and a path to install the skill in other projects.
The page clearly presents a useful AI-adjacent developer resource: a repo for learning evals with coding agents. The README explains the purpose, how to get started, what the learn-evals skill does, and how to install it into another project, giving enough evidence for a public listing.
The crawl does not show the actual lesson content, the structure of the exercises, or how much of the skill is already complete beyond the README. It is also unclear what the first runnable example covers in practice and how broad the eval topics are.
Last evaluated 45 days ago. Current rank #2380. Down 1 spot in the rankings.
A Rust Blu-ray disc analyzer that reimplements BDInfo for BDMV folders and ISO images, with CLI, desktop, and browser/WASM front ends.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
An open-source MCP and CLI tool that lets AI agents read and control the iOS Simulator, build and test Xcode apps, and handle common iOS interactions with a compact screen representation.
Open source inference engine for agents that self-tunes on the user’s hardware to run open models faster, with desktop app support and one-click connections to popular agents.
