skill-creation

The best way to create Claude skills is using a repeatable blueprint that captures intent, drafts SKILL.md, generates eval prompts, and refines behavior through an evaluation loop. This ensures consistent behavior across prompts and reduces time-to-value.

To evaluate a SKILL.md file, you generate an eval_set of test prompts, run parallel tests using built-in evaluator scripts, and analyze the results with eval_viewer. This evaluation scaffolding allows you to iteratively refine the skill's triggering and description.

Yes, you can use YAML to organize optional resources when creating skills. The workflow involves capturing intent, writing the SKILL.md, structuring references and assets, and enforcing the skill unit spec to ensure scalable and safe skill development.

Evaluation scaffolding works by generating and managing eval prompts, running parallel tests, and analyzing results with built-in tooling like eval_viewer and evaluator scripts. It validates skill behavior and enforces safety checks before deployment.

Yes, you need to run safety checks when building a deployable skill unit. The creation workflow enforces the skill unit spec, embeds references, and includes security checks to provide clear troubleshooting guidance for scalable development.