# genpark-conversational-sms-abandoned-browse-recovery-skill

> genpark-conversational-sms-abandoned-browse-recovery-skill — alpha-park-genpark-conversational-sms-abandoned-browse-recovery-skill. Use this tool when you need to recover abandoned browsing sessions through conversational SMS, generating personalized copy to re-engage customers. It solves the problem of lost sales by sending targeted messages to customers who have browsed but not purchased, using inputs such as customer data and browsing history to produce effective SMS outputs. Ideal for e-commerce businesses using Attentive or Postscript platforms.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-conversational-sms-abandoned-browse-recovery-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-conversational-sms-abandoned-browse-recovery-skill

## Description

Conversational SMS abandoned browse recovery copy generator (Attentive / Postscript)

## 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/Alpha-Park/genpark-conversational-sms-abandoned-browse-recovery-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": "alpha-park-genpark-conversational-sms-abandoned-browse-recovery-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-conversational-sms-abandoned-browse-recovery-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-conversational-sms-abandoned-browse-recovery-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
