# genpark-engineering-sprint-cycle-bottleneck-prediction-skill

> genpark-engineering-sprint-cycle-bottleneck-prediction-skill — alphaparkinc-genpark-engineering-sprint-cycle-bottleneck-prediction-skill. Use this tool when you need to predict bottlenecks in engineering sprint cycles and optimize PR review processes. It analyzes git data to identify potential roadblocks and provide insights for streamlined workflow management. Ideal for teams seeking to improve collaboration efficiency and reduce cycle times.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-engineering-sprint-cycle-bottleneck-prediction-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-engineering-sprint-cycle-bottleneck-prediction-skill

## Description

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

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-engineering-sprint-cycle-bottleneck-prediction-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-engineering-sprint-cycle-bottleneck-prediction-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-engineering-sprint-cycle-bottleneck-prediction-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-engineering-sprint-cycle-bottleneck-prediction-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt