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recsys-pipeline-architect

authentic

Designs composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework

When to use

• Use when the user wants to build any system that picks "the top K items for a user/context"
• Use when the user asks "how should I rank X" or describes a feed/personalization problem
• Use when the user has a scoring function and needs the pipeline plumbing around it
• Use when the user wants to migrate from a single relevance score to multi-action prediction with tunable weights
• Use when the user is wrapping an LLM/ML scorer and needs filters, hydrators, side-effects, and a runnable scaffold in their stack (TypeScript / Go / Python)

When not to use

• This skill scaffolds pipeline plumbing; it does not train ML models — the scoring function is the user's responsibility
• It does not operate deployed pipelines (no monitoring, no autoscaling decisions)
• It does not predict pipeline performance (depends on data, hardware, traffic)
• It does not choose infrastructure (vector DB, cache, queue) — those are outside scope

Skill page

Source