Agent skill · AI & Agents

recsys-pipeline-architect

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

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill recsys-pipeline-architect --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Declared author: mturac
Path: skills/ai-ml/recsys-pipeline-architect/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# recsys-pipeline-architect ## Overview A spec-and-scaffold skill for building composable recommendation, ranking, and feed pipelines. It encodes the six-stage **Source → Hydrator → Filter → Scorer → Selector → SideEffect** framework popularized by xAI's open-sourced [For You algorithm](https://github.com/xai-org/x-algorithm) (Apache 2.0). This skill is an independent reimplementation of the *pattern* — no code is copied from the original — licensed MIT. Use it whenever you need "the top K items for a (user, context)": social feeds, content CMSs, RAG rerankers, task prioritizers, notification triage, search reranking, ad ranking. ## When to Use This Skill - 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 /

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. How It Works
  4. Step 1: Clarify the use case
  5. Step 2: Walk the eight steps of the spec
  6. Step 3: Emit a runnable scaffold
  7. Examples
  8. Example 1: Strapi content feed
  9. Example 2: RAG retrieval reranker
  10. Example 3: Notification triage
  11. Best Practices
  12. Limitations
  13. Security & Safety Notes
  14. Common Pitfalls
Ships with 1 file
  • metadata.json
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About this skill
What does the recsys-pipeline-architect skill do?

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

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill recsys-pipeline-architect --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going