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recommendation-system SKILL.md skillA

recommendation-system from secondsky/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add secondsky/claude-skills/recommendation-system@git:20260803.3c09f87

Pins git:20260803.3c09f87 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: secondsky/claude-skills
Path: plugins/recommendation-system/skills/recommendation-system/SKILL.md
Versions recorded: 3
Latest version: git:20260803.3c09f87, committed Aug 3, 2026
First version recorded: Dec 24, 2025
Size: 14,771 bytes
Repository stars: 247
License: MIT

Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Recommendation System

Production-ready architecture for scalable recommendation systems with feature stores, multi-tier caching, A/B testing, and comprehensive monitoring.

## When to Use This Skill

Load this skill when:
- **Building Recommendation APIs**: Serving personalized recommendations at scale
- **Implementing Caching**: Multi-tier caching for sub-millisecond latency
- **Running A/B Tests**: Experimenting with recommendation algorithms
- **Monitoring Quality**: Tracking CTR, conversion, diversity, coverage
- **Optimizing Performance**: Reducing latency, increasing throughput
- **Feature Engineering**: Managing user/item features with feature stores

## Quick Start: Recommendation API in 5 Steps

```bash
# 1. Install dependencies
pip install "fastapi>=0.109.0" "redis>=5.0.0" "prometheus-client>=0.19.0"

# 2. Start Redis (for caching and feature store)
docker run -d -p 6379:6379 redis:alpine

# 3. Create recommendation service: app.py
cat > app.py << 'EOF'
from fastapi import FastAPI
from pydantic import BaseModel
from typing import List
import redis
import json

app = FastAPI()
cache = redis.Redis(host='localhost', port=6379, decode_responses=True)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add secondsky/claude-skills/recommendation-system@sha256:03f6ccc14dcadeab

The line at the top of this page pins the label git:20260803.3c09f87, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_zjmhlorrnpbltkto.svg)](https://markdownregistry.com/a/art_zjmhlorrnpbltkto)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Dec 24, 2025 and Aug 3, 2026, about one every 111 days.

version	committed	commit	size	audit
git:20260803.3c09f87 latest	2026-08-03	3c09f87	14,771 B	A	view · diff
git:20260402.89c5e89	2026-04-02	89c5e89	14,765 B	A	view · diff
git:20251224.ba827ce	2025-12-24	ba827ce	14,751 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (14771 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

secondsky/claude-skills · 247 stars · license MIT · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zjmhlorrnpbltkto
GET https://markdownregistry.com/api/v1/resolve?ref=secondsky/claude-skills/recommendation-system
GET https://markdownregistry.com/api/v1/blob/03f6ccc14dcadeab4bad1cfa71e28daae6db5f6fa604641db584c32dc2d18e48

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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