MathLens

Use this multilingual guide to understand skill structure, installation paths, marketplaces, and common management tools across agent ecosystems. It curates official skill repositories from model providers, cloud platforms, and developer-tool vendors, while comparing usage in apps, coding agents, and OpenClaw-style harnesses. The guide also highlights security review practices; its bundled creation and testing toolkit is currently limited to Claude Code.

Learn how an agent gateway grows from a basic model loop into a routed, proactive, and resilient system. Ten progressive Python sections add tool use, sessions, Telegram and Feishu channels, routing, memory, cron work, durable delivery, retries, and concurrency, with matching English, Chinese, and Japanese code and documentation.

Learning Opportunities is a Claude and Codex skill that turns significant coding work into optional 10–15 minute learning exercises. After architectural changes, new modules, refactors, or unfamiliar patterns, it uses prediction, generation, retrieval practice, and spacing to build lessons from the user's own project. The agent pauses for the developer's answers instead of completing the exercise itself, and an optional companion orientation skill can prepare lessons for an unfamiliar repository.

Awesome LLM Skills is a curated directory of reusable LLM and agent skills across development, Notion workflows, creative work, media, and other tasks. It also collects setup guidance and resources for Claude Code, Codex, Gemini CLI, OpenCode, Qwen Code, and related platforms. Some entries live in the repository, while others link to external skill projects.