How to Build an AI Skill Archive

Use a consistent unit: purpose, trigger, inputs, steps, tools, constraints, examples, and expected output. A prompt alone is rarely enough.

Create categories based on work people need to retrieve, such as research, visual direction, client communication, content production, or quality review.

Store successful outputs, failed approaches, decision notes, and source references with the workflow. This makes future judgment faster.

Review new skills after use, merge duplicates, mark tool dependencies, and retire methods that no longer perform.