genpark-product-bundle-recommender-skill
GenPark AI Skill - Recommend bundle items and compile discount pricing strategies
Install / Use
claude mcp add alphaparkinc -- npx -y github:alphaparkinc/genpark-product-bundle-recommender-skillIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Skill content
View source on GitHubgenpark-product-bundle-recommender-skill
GenPark AI Agent Skill -- Shopping cart product bundling compiler.
Quick Start
from client import ProductBundleRecommenderClient
client = ProductBundleRecommenderClient()
res = client.recommend_bundle([{"sku": "1", "price": 10}], 10)
print(res["bundle_suggestion"]["items_to_add"])
Related Skills
Agent-Reach
78.6kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
ruflo
71.2k🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
career-ops
70.4kOpen-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)
headroom
69.4kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Languages
Security Score
Audited on Jul 10, 2026