Automate Claude skill creation, evaluation, and iterative improvement from SKILL.md.
npx skills add https://github.com/YeomanYe/skills --skill skill-creator-yeomanye
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/YeomanYe/skills/tree/main/skill-creator Command: npx skills add https://github.com/YeomanYe/skills --skill skill-creator-yeomanye
Creating, validating, and improving Claude skills from a shared SKILL.md is manual, error-prone, and slow. This skill automates the entire lifecycle, enabling rapid iteration from draft to production-ready units.
Run the skill-creation workflow to scaffold a new skill, run evaluations, and iterate on the description.
High-intent search queries and answers about installing and using this skill.
Automating Claude skill creation involves running a workflow that scaffolds SKILL.md frontmatter, executes integrated evaluation loops, and iteratively improves descriptions until production-ready. This eliminates manual validation and accelerates team workflows.
The best way to validate descriptions is using an integrated evaluation loop that runs prompts, collects expectations, and produces grading data. The system then proposes concise, trigger-friendly SKILL descriptions based on benchmark results.
Yes, YAML frontmatter with a name and description is required at SKILL.md to scaffold a new skill. Optional resources like deterministic scripts, references, and assets can be bundled to support consistent task execution.
Yes, your product team can use automated evaluations to run benchmarks and collect feedback loops. You can iterate on the skill until its performance consistently meets your defined quality gates.
YAML frontmatter must strictly contain a name and description to function correctly. If the structure is invalid, scaffolding fails, so you must ensure proper formatting before running the evaluation and improvement workflow.
The built-in review UI displays grading data generated from running prompts and collecting expectations. It allows teams to visually inspect evaluation results and iterate on the skill until it reaches production readiness.
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