MCP App StoreMCP App Store
from awesome-skills-cn118
Designs composable recommendation and reranking pipelines using a six-stage framework; emits runnable scaffolds in TypeScript, Go, and Python.
A spec-and-scaffold skill that helps design and generate composable recommendation, ranking, and feed pipelines. It formalizes a six-stage pipeline (Source, Hydrator, Filter, Scorer, Selector, SideEffect), walks through architecture trade-offs, and can emit runnable scaffolds for feeds, RAG rerankers, and task prioritizers.
Use when you need to build top-K pipelines: personalized feeds, reranking retrieval results, notification triage, or task prioritization. Trigger when a user describes ranking, reranking, feed generation, or asks how to structure multi-stage scoring.
Best used with coding-capable assistants (Codex, Copilot, Claude Code, Gemini Code) that can generate and adapt scaffold code.
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