skill-authoring

Claude agent skill authoring best practices focus on quality, iteration, and real-world applicability. They provide comprehensive guidelines for naming, describing, and evaluating skills to ensure practical, user-friendly development and effective task handling.

Evaluate and refine Claude agent skills through iterative testing. Use two Claude instances to identify gaps and issues, applying evaluation-driven development techniques to ensure the skills solve real-world problems rather than imagined ones.

Create a new skill for Claude agents by applying comprehensive authoring guidelines. Focus on proper naming, clear descriptions, and iterative refinement to build high-quality, effective skills tailored for various tasks.

Use evaluation-driven development for skill creation when you need to ensure skills solve real-world problems. This approach validates practical applicability and prevents the development of skills based on imagined or non-existent use cases.

Improve existing Claude agent skills by applying authoring guidelines and iterative testing. Identify gaps and issues using two Claude instances to refine the skill's quality and real-world applicability without rebuilding from scratch.