Recommender Systems
Builds personalized product recommendation engines using content-based filtering, collaborative filtering (user/item neighborhood), latent factor models (SVD, SVD++, NMF), hybrid blending/stacking, contextual pre-filtering, and non-personalized association rules. Use when asked to: build a recommendation engine, personalize product suggestions, solve cold-start problem, rank products by affinity, improve upsell/cross-sell, compute similarity between items or users, evaluate recommender quality (RMSE, NDCG@K, precision@K), or combine multiple models. Also trigger when someone says "recommendation engine", "collaborative filtering", "content-based filtering", "SVD", "latent factors", "cold-start problem", "similar products", "frequently bought together", "next best product", "blending models", "NDCG", "precision@K", or pastes a user-item rating matrix. Always renders inline HTML dashboard + marketer NBA and industry benchmarks.
Security AStatic scan found no risk patternsHow grading works ›
From the source SKILL.md
Personalized recommendation engine builder. Six algorithm families + hybrid blending + evaluation suite. Always outputs three layers: technical model → evaluation metrics → marketer-ready insights + NBA.
What this skill does
Recommender Systems is a community-contributed Claude Code skill in the content-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/recommender-systems/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when asked to: build a recommendation engine, personalize product suggestions, solve cold-start problem, rank products by affinity, improve upsell/cross-sell, compute similarity between items or users, evaluate recommender quality (RMSE, NDCG@K, precision@K), or combine multiple models. Also trigger when someone says "recommendation engine", "collaborative filtering", "content-based filtering", "SVD", "latent factors", "cold-start problem", "similar products", "frequently bought together", "next best product", "blending models", "NDCG", "precision@K", or pastes a user-item rating matrix.
Who uses this skill
The Recommender Systems Claude Code skill is built for content creators, marketers, copywriters, SEO professionals, and editorial teams. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 178,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/recommender-systems
curl -L https://claudskills.com/skills/recommender-systems/SKILL.md \
-o ~/.claude/skills/recommender-systems/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/recommender-systems/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/recommender-systems/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\recommender-systems\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the Recommender Systems Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/recommender-systems/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the Recommender Systems skill do?
Builds personalized product recommendation engines using content-based filtering, collaborative filtering (user/item neighborhood), latent factor models (SVD, SVD++, NMF), hybrid blending/stacking, contextual pre-filtering, and non-personalized association rules. Use when asked to: build a recommendation engine, personalize product suggestions, solve cold-start problem, rank products by affinity, improve upsell/cross-sell, compute similarity between items or users, evaluate recommender quality (RMSE, NDCG@K, precision@K), or combine multiple models. Also trigger when someone says "recommendation engine", "collaborative filtering", "content-based filtering", "SVD", "latent factors", "cold-start problem", "similar products", "frequently bought together", "next best product", "blending models", "NDCG", "precision@K", or pastes a user-item rating matrix. Always renders inline HTML dashboard + marketer NBA and industry benchmarks.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Recommender Systems skill?
Use Recommender Systems when your Claude Code task falls under the Content category — specifically in the content misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Recommender Systems" or describe the task and let Claude pick). Browse related skills at
/category/content/.
What is a Claude Code skill and how does the Recommender Systems skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Recommender Systems is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Content category. Learn more at
/learn/what-is-a-claude-skill/.
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
ClaudSkills. (2026). Recommender Systems [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/recommender-systems/
BibTeX
@misc{recommender-systems-2026,
author = {ClaudSkills},
title = {Recommender Systems [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/recommender-systems/}
}Embed this skill
Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →
Badge
[](https://claudskills.com/skills/recommender-systems/?utm_source=badge&utm_medium=readme&utm_campaign=skill_badge)
<script>
<script src="https://claudskills.com/embed/recommender-systems.js" async></script>
<iframe>
<iframe src="https://claudskills.com/embed/recommender-systems.html" width="100%" height="160" frameborder="0" loading="lazy" title="ClaudSkills: Recommender Systems"></iframe>
Security scan
Grade A · scanned 2026-08-07 — free static scan against the OWASP Agentic Skills Top 10.
No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›
- ✓ Prompt injection
- ✓ Data exfiltration
- ✓ Supply chain
- ✓ Reverse shell
- ✓ Credentials
- ✓ Execution
- ✓ Filesystem
- ✓ Persistence
- ✓ Obfuscation
- ✓ Network
Show this grade on your repo (click to copy):
[](https://claudskills.com/skills/recommender-systems/#security)
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