Genpark Engineering Sprint Cycle Bottleneck Prediction Skill

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Engineering sprint cycle bottleneck & PR review predictor (Linear style)

by alphaparkinc

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Engineering sprint cycle bottleneck & PR review predictor (Linear style)

README

GenPark AI Agent Skill -- Engineering sprint cycle bottleneck & PR review predictor (Linear style)

Quick Start

python example_usage.py

📊 Agentic Architecture Flowchart

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

from github.com/alphaparkinc/genpark-engineering-sprint-cycle-bottleneck-prediction-skill

Installing Genpark Engineering Sprint Cycle Bottleneck Prediction Skill

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/alphaparkinc/genpark-engineering-sprint-cycle-bottleneck-prediction-skill

FAQ

Is Genpark Engineering Sprint Cycle Bottleneck Prediction Skill MCP free?

Yes, Genpark Engineering Sprint Cycle Bottleneck Prediction Skill MCP is free — one-click install via Unyly at no cost.

Does Genpark Engineering Sprint Cycle Bottleneck Prediction Skill need an API key?

No, Genpark Engineering Sprint Cycle Bottleneck Prediction Skill runs without API keys or environment variables.

Is Genpark Engineering Sprint Cycle Bottleneck Prediction Skill hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Genpark Engineering Sprint Cycle Bottleneck Prediction Skill in Claude Desktop, Claude Code or Cursor?

Open Genpark Engineering Sprint Cycle Bottleneck Prediction Skill on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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