Skills: Claude Code for Economists with Paul Goldsmith-Pinkham | Markus Academy | Ep. 162-6

Key Takeaways

• Skills in Claude AI are reusable bundles of instructions that specify how an LLM should approach a problem, acting like a standardized prompt.
• Creating a skill involves defining the task, desired inputs and outputs, and then writing clear instructions, which can be AI-assisted.
• Skills are stored as folders, each containing a `skill.md` file with the core instructions and potentially other necessary components.
• Skills can be installed globally (available in all projects) or locally within a specific project folder, impacting load times and relevance.
• Global installation of too many skills can slow down the LLM's startup due to the embedded descriptive information in the initial prompt.
• Skills help avoid repetitive explanations by encoding task structure, output formatting, and necessary checks into a single, manageable unit.
• The primary benefit of skills is to improve and standardize the thinking process for complex or recurring tasks, not to add new functionality.
• Skills can be used for various research-related tasks, such as summarizing papers, drafting referee reports, or conducting literature reviews.