Rank topic ideas against audience profiles to tailor content strategy.
npx skills add https://github.com/jackandking/LetMeTryAI --skill topic-selector
Please help me install this Agent Skill. Skill: topic-selector Source: https://github.com/jackandking/LetMeTryAI/tree/main/.agents/skills/topic-selector Command: npx skills add https://github.com/jackandking/LetMeTryAI --skill topic-selector
This Skill addresses the challenge of maintaining distinct content strategies across different product lines or audience segments, ensuring that topic selection remains aligned with specific brand goals and audience preferences.
Use the topic-selector skill to rank the provided topic candidates for the 'womanai' profile and get the top 3 results.
High-intent search queries and answers about installing and using this skill.
Tailor content strategy by ranking topic ideas against predefined audience profiles. This approach matches topics with preferred categories and formats, ensuring brand alignment and preventing topic drift across different product lines.
Audience-specific topic ranking evaluates topic candidates using scoring logic to match them with audience segments. It scores topics against preferred categories, formats, signals, and qualities defined in profile data, returning the highest ranked results.
Select topics for different audience segments by enforcing profile-specific content guidelines. By scoring topic candidates against audience profile data, you ensure consistent brand alignment while avoiding hard blocks and maintaining distinct strategies.
Yes, you need profile data for audience segmentation to rank topic ideas. The scoring logic requires predefined audience profiles containing preferred categories, formats, signals, and qualities to effectively match and rank topics.
Yes, you can differentiate content for male, female, elderly, or parent audiences. The ranking mechanism scores topic ideas against specific audience profiles, ensuring content focus matches the targeted demographic's preferences.
The best way to rank topic candidates is to apply scoring logic that matches topics with the audience profile's preferred categories, formats, signals, and qualities. This ensures strategic alignment and outputs the top ranked topics.
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