user-profile-reader

Personalize content by reading the user profile from ~/.looplia/user-profile.json, which contains topics with interest levels and style preferences. The Skill calculates a relevance score (0-1) that downstream tasks use to tailor tone, style, and topic focus to match user context.

The workflow requires a user-profile.json file containing userId, an array of topics with interestLevel values, and a style preference. This schema feeds into relevance scoring and context generation for content generation and recommendation tasks.

Yes. The Skill loads user profile topics and style, then produces a relevanceToUser score that other skills use to rank and filter recommendations. Downstream tasks like idea-synthesis consume this score to surface the most relevant content.

Chain this Skill with content-documenter and idea-synthesis: read the user profile here to generate personalization context and relevance scores, then pass those outputs to downstream skills to tailor generated content tone, topics, and style to the user.

The workflow requires ~/.looplia/user-profile.json with valid userId, topics array, and style fields. If the file is absent or lacks required schema fields, the Skill cannot calculate relevance scores or produce user context for downstream personalization tasks.

Yes. The relevanceToUser score and user-context output support personalization across content generation, recommendations, and summaries. The reproducible workflow consumes the same user-profile.json schema for any downstream task requiring personalized outputs.