Set Up Your Workspace
Create an empty local folder for Claude skills, initialize Git, and open the folder in Cursor. Keep generated work isolated from repositories that contain credentials or unrelated source code.
Build a small meta-skill that creates other Claude skills consistently: ground it in the current format, keep the folder lean, validate the structure, and test whether it produces a useful second skill.


Source episode · 16:00
Claude Skills Explained: My Workflow for Creating Reusable AI Agents with Cursor and Claude Codewith Claire Vo
Claire opens an empty Claude Skills folder in Cursor, supplies the official skill documentation, and creates a reusable skill-building skill with a SKILL.md file, templates, examples, and a validation script.
A reusable create-skill folder with a focused SKILL.md, only the supporting files it needs, and a safe validator that can check newly generated skills.
AI-first code editor
Anthropic AI assistant
Claude for coding tasks
Step by step
Follow the sequence once, then adapt the prompts, checks, and handoffs to your own setup.
4 steps
Create an empty local folder for Claude skills, initialize Git, and open the folder in Cursor. Keep generated work isolated from repositories that contain credentials or unrelated source code.
Ask Cursor for a meta-skill whose only job is to create maintainable Claude skills. Define the questions it must ask and the minimum files it may create.
Create a Claude skill named create-skill that builds other Claude skills. Before writing files, collect the target task, trigger examples, inputs, output, constraints, and required supporting resources. Default to one SKILL.md and add a reference, template, example, or validator only when it has a clear purpose.
Having a dedicated folder for all your skills keeps your workspace organized and makes it easy for tools like Claude Code to discover them.
Attach or link the current official documentation and make it the authority for metadata, naming, file layout, references, and any validation rules. Do not rely on the model's memory of the format.
Use this documentation as the source of truth: [documentation]. Update create-skill to follow its required metadata and folder rules. Cite the relevant documentation section in comments or notes, and flag any instruction that the documentation does not settle.
Inspect every generated file and run the read-only validator. Then use the meta-skill to create one real test skill and check its trigger behavior, output, folder contents, and diff.
Use create-skill to create a skill for [task]. Inputs: [inputs]. Expected output: [output]. Trigger examples: [examples]. Exclusions: [exclusions]. Generate the smallest useful folder, run the read-only validator, and list every file created.
Turn an idea into a PRD, user stories, and a plan.
After the steps
How to recover when the loop fails and where human judgment helps.
Recover
Keep building

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