Weekly Reader Question Review reads seven days of comments, replies and DMs, then returns five themes in your readers’ own words. Each theme carries a real count and two verbatim quotes. The verbatim requirement is the anti-hallucination check: a quote that is not in the input means the theme was invented, and you can see it in seconds.
The output splits reader confusion from missing coverage. Confusion means people misread something you already published, so retitle it. Missing coverage means write it. Merging the two is how content calendars fill with posts nobody was asking for.
This is for writers who feel tired of staring at an empty calendar while their comments section is stuffed with briefs.
Below: the full skill instruction.
The Skill was created in Cluing and tested in ChatGPT and Claude Cowork as a companion resource to my article on using Cluing for AI-powered research, knowledge management, and content workflows.
Read the article first for the full setup and context.
Weekly Reader Question Review reads the last seven days of comments, replies and DMs, then hands back five themes in your readers’ exact words, with real counts and real quotes.
It ranks them by frequency, upgrade intent and search reach, marks the top three to write this week, and drafts the Note, the FAQ and the newsletter angle for each.
It also does the thing other idea prompts won’t: it separates confusion (retitle the old post) from gaps (write a new one), and flags every upgrade signal that no current offer answers.
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