# genpark-agentic-crm-relationship-graph-orchestrator-skill

> genpark-agentic-crm-relationship-graph-orchestrator-skill — alphaparkinc-genpark-agentic-crm-relationship-graph-orchestrator-skill. Use this tool when you need to manage complex customer relationships and sales pipelines with automated synchronization and predictive deal scoring. It solves problems of manual data entry, pipeline inconsistencies, and uncertain sales forecasts by providing a unified AI-native CRM relationship graph. Ideal for use in sales and marketing contexts where data-driven insights and efficient pipeline management are crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-agentic-crm-relationship-graph-orchestrator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agentic-crm-relationship-graph-orchestrator-skill

## Description

AI-native CRM relationship graph, pipeline auto-sync & deal scorer (Lightfield style)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-agentic-crm-relationship-graph-orchestrator-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-agentic-crm-relationship-graph-orchestrator-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agentic-crm-relationship-graph-orchestrator-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agentic-crm-relationship-graph-orchestrator-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