Scaffold, audit, and improve AI agent skills with structured patterns.
npx skills add https://github.com/wyattowalsh/agents --skill skill-creator-wyattowalsh
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/wyattowalsh/agents/tree/main/skills/skill-creator Command: npx skills add https://github.com/wyattowalsh/agents --skill skill-creator-wyattowalsh
This Skill streamlines the creation, improvement, and auditing of AI agent skills, ensuring they adhere to best practices and are easily discoverable.
SKILL.md, and then audit it to ensure it meets quality standards.Use the skill creator to create a new skill named 'my-data-processor'.
High-intent search queries and answers about installing and using this skill.
To create an AI agent skill, use the creator mode to scaffold a new project from predefined templates or exemplars. This generates a standard directory structure and a starter SKILL.md file, establishing a maintainable foundation for subsequent development.
The best way to audit an AI agent skill is using the deterministic scoring mechanism. This process evaluates the skill's structure and documentation against established best practices, generating a quantifiable score and identifying specific areas for code improvement.
You can improve existing AI agent skills without starting from scratch. The improvement mode analyzes current files and refactors them based on audit results, enhancing maintainability and ensuring adherence to documented best practices.
Yes, the skill creator requires Python dependencies including pydantic, rich, and PyYAML. These libraries facilitate structured data validation, terminal formatting for outputs, and YAML configuration parsing during skill generation and auditing.
Scaffolding a new AI agent skill includes components such as scripts, references, evals, and templates. These elements ensure the generated skill has comprehensive documentation, executable logic, and built-in evaluation frameworks.
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