# genpark-conversational-b2b-deal-velocity-scoring-engine-skill

> genpark-conversational-b2b-deal-velocity-scoring-engine-skill — alphaparkinc-genpark-conversational-b2b-deal-velocity-scoring-engine-skill. Use this tool when you need to accelerate B2B sales cycles and predict deal success. It analyzes conversational data to score deal velocity, providing sales intelligence to inform strategic decisions. Ideal for sales teams seeking to optimize their pipeline and close deals faster, it integrates with existing workflows via git.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-conversational-b2b-deal-velocity-scoring-engine-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-conversational-b2b-deal-velocity-scoring-engine-skill

## Description

Conversational B2B deal velocity scoring engine & sales intelligence (G2.com Leader)

## 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:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-conversational-b2b-deal-velocity-scoring-engine-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-conversational-b2b-deal-velocity-scoring-engine-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-conversational-b2b-deal-velocity-scoring-engine-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-conversational-b2b-deal-velocity-scoring-engine-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