How to use Agent Skils

Agent Skills are a highly effective method for utilizing Large Language Models (LLMs) by providing the necessary context for tasks in a repeatable manner. These skills are essentially folders containing markdown files, with the main file named SKILL.md, which include a name and description in their frontmatter. This approach addresses the issue of Context Bloat, a common problem where excessive context hinders the AI's performance. By default, only minimal information is loaded into the context window, with additional details added when necessary, making the process efficient and targeted. Skills can be integrated into various LLM interfaces by downloading and placing them in designated directories or using a tool like skills.sh for quicker installation. While editors are designed to automatically utilize these skills, users may need to prompt the LLM to apply them in certain situations. The guide emphasizes the potential of Agent Skills to enhance project workflows by offering task-specific context curated by the tool creators themselves.