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Recommender Evaluation

Category: Engineering  ·  Sub-category: data-engineering  ·  Last updated:
lang:javascript
Evaluate recommender system quality for the CSX4207 Vinyl Record Store. Use whenever you must compute or report recommender metrics (Precision@k, Recall@k, HitRate@k, MRR, MAP@k, NDCG@k, coverage, diversity, novelty, serendipity, personalization), design an evaluation protocol/split, run a baseline comparison, or write the evaluation section of a course deliverable. Covers formulas, JavaScript reference implementations, and the reporting checklist.
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From the source SKILL.md

This skill defines how the Vinyl Record Store recommender is measured. It exists because recommender quality is judged on ranking and catalog health, not MSE/RMSE — applying regression metrics to a top-k recommender is a classic, grade-costing mistake.

What this skill does

Recommender Evaluation is a community-contributed Claude Code skill in the data-engineering sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/recommender-evaluation/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use whenever you must compute or report recommender metrics (Precision@k, Recall@k, HitRate@k, MRR, MAP@k, NDCG@k, coverage, diversity, novelty, serendipity, personalization), design an evaluation protocol/split, run a baseline comparison, or write the evaluation section of a course deliverable. Covers formulas, JavaScript reference implementations, and the reporting checklist.

Who uses this skill

The Recommender Evaluation Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 150,000+ 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-evaluation
curl -L https://claudskills.com/skills/recommender-evaluation/SKILL.md \
  -o ~/.claude/skills/recommender-evaluation/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/recommender-evaluation/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/recommender-evaluation/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\recommender-evaluation\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 Evaluation Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/recommender-evaluation/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Recommender Evaluation skill do?
Evaluate recommender system quality for the CSX4207 Vinyl Record Store. Use whenever you must compute or report recommender metrics (Precision@k, Recall@k, HitRate@k, MRR, MAP@k, NDCG@k, coverage, diversity, novelty, serendipity, personalization), design an evaluation protocol/split, run a baseline comparison, or write the evaluation section of a course deliverable. Covers formulas, JavaScript reference implementations, and the reporting checklist.
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 Evaluation skill?
Use Recommender Evaluation when your Claude Code task falls under the Engineering category — specifically in the data engineering 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 Evaluation" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Recommender Evaluation 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 Evaluation is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
bg-szy. (2026). Recommender Evaluation [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/recommender-evaluation/
BibTeX
@misc{recommender-evaluation-2026,
  author    = {bg-szy},
  title     = {Recommender Evaluation [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/recommender-evaluation/}
}

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