what is awesome-llm-observability fr?

This repository is a curated, kept up to date list of more than sixty tools for watching AI language model applications in production, plus a set of twenty six ready made helper skills that a coding AI assistant can install and use directly. The core problem it addresses is that AI powered apps behave differently from traditional software: they can make things up, drift in quality as inputs change, quietly cost more money over time, and fail silently without throwing a normal error, so watching them needs different tools than watching a regular website or service. The list organizes tools into categories such as tracing platforms that record every step of an AI request along with its cost and speed, evaluation frameworks that judge whether an answer is actually good, prompt management tools that version and test prompts over time, gateways that route requests between different AI providers, and guardrail tools that catch unsafe or incorrect output. Each tool is marked as fully open source, a mix of open and paid, or fully commercial, and star counts are pulled automatically from GitHub every week so the numbers stay current instead of going stale. Beyond the list itself, the project ships twenty six small, focused skill files that plug into AI coding assistants like Claude Code. These skills respond to plain requests such as add tracing or reduce my AI bill, and several of them include real, tested code rather than just instructions. The author also built a small testing tool to measure whether each skill actually triggers correctly, and reports the accuracy results openly, including where a couple of skills get confused with each other. Installing the skills takes about ten seconds using a plugin command, a quick copy script, or a full clone and install script. The whole project is released under the CC0 license, which places it in the public domain and allows anyone to use, modify, or redistribute it for any purpose with no restrictions and no need for attribution.