Skillget

genpark-ad-spend-optimizer-skill

mcp
Security Audit
Warn
Health Warn
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 9 GitHub stars
Code Pass
  • Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested

No AI report is available for this listing yet.

SUMMARY

GenPark AI Skill - Multi-channel ROAS tracking ad allocation optimizer

README.md

Python 3.9+ License MIT MCP Compatible GenPark AI

genpark-ad-spend-optimizer-skill

GenPark AI Agent Skill -- Multi-channel ad performance optimizer.

Quick Start

from client import AdSpendOptimizerClient
client = AdSpendOptimizerClient()
res = client.optimize_budget({"google": {"roas": 5.0}, "meta": {"roas": 3.0}}, 10000)
print(res["allocated_budget"])

📊 Agentic Architecture Flowchart

graph LR
  User([User / AI Agent]) -->|JSON Request| Skill[GenPark AI Skill]
  Skill -->|Execution Logic| CoreEngine[Core Analytics & Processing]
  CoreEngine -->|Structured Output| User

🔌 MCP (Model Context Protocol) Integration

Run natively as an MCP server for Cursor, Claude Desktop & LLM frameworks:

python mcp_server.py

Reviews (0)

No results found