What problem does it solve? Creating a well-structured skill requires knowing the SKILL.md frontmatter format, naming rules, resource organization, and validation requirements, which is easy to get wrong without guidance. ## Core Features & Use Cases - Skill Scaffolding: Initialize new skill directories with a SKILL.md template, agents/openai.yaml UI metadata, and optional scripts, references, and assets folders via init_skill.py. - Authoring Guidance: Apply core principles like progressive disclosure, concise context usage, and appropriate degrees of freedom when writing skill instructions. - Validation: Check frontmatter format, required fields, and hyphen-case naming rules with quick_validate.py before publishing. - Use Case: When you want to package a repeatable workflow, such as rotating PDFs or querying BigQuery, into a reusable skill, this skill walks you through planning resources, generating the directory, and validating the result. ## Quick Start Ask the assistant to create a new skill named pdf-rotator in your skills directory using the skill-creator workflow.
