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SkillHub ClubWrite Technical DocsFull StackData / AITech Writer

building-recommendation-systems

This skill empowers claude to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. it analyzes user preferences, item features, and interaction data to generate personalized recommendations...

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
9
Hot score
84
Updated
March 20, 2026
Overall rating
C2.4
Composite score
2.4
Best-practice grade
C56.0

Install command

npx @skill-hub/cli install bbgnsurftech-claude-skills-collection-recommendation-engine
machine-learningrecommendation-systempythondata-sciencecollaborative-filtering

Repository

BbgnsurfTech/claude-skills-collection

Skill path: plugins/claude-code-plugins-plus/plugins/ai-ml/recommendation-engine/skills/recommendation-engine

This skill empowers claude to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. it analyzes user preferences, item features, and interaction data to generate personalized recommendations...

Open repository

Best for

Primary workflow: Write Technical Docs.

Technical facets: Full Stack, Data / AI, Tech Writer.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: BbgnsurfTech.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install building-recommendation-systems into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/BbgnsurfTech/claude-skills-collection before adding building-recommendation-systems to shared team environments
  • Use building-recommendation-systems for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

building-recommendation-systems | SkillHub