cheat-recommend

To sort content topics, you need a candidates.md file and a predefined rubric. The skill filters topics by criteria such as tier, safety, and risk, then recommends the top N topics for your content planning workflow.

Yes, filtering content topic candidates by tier, safety, and risk is supported. You can apply these filters during the rubric-based sorting process to ensure recommended topics align with your specific content creation goals and audience preferences.

You can get automated topic recommendations by running a command like "recommend topics --top N --filter tier1". This automatically sorts your candidates.md file using your rubric and outputs the highest ranked content topics without manual sorting.

Rubric-based sorting for content topic selection is the process of ranking candidates.md entries against predefined criteria. It evaluates topics using filters like tier, safety, and risk to systematically identify and recommend the top N topics for content creation.

Yes, you need a candidates.md file to use rubric-based topic recommendations. The skill reads directly from this markdown file to apply your predefined rubric, filter by tier, safety, and risk, and generate sorted content topic suggestions.

You should use automated content topic sorting when you have a large candidates.md file and need to streamline content planning. It replaces manual sorting by applying consistent rubric-based criteria like tier, safety, and risk to efficiently recommend top N topics.