# genpark-agent-artifact-cache-version-checkpoint-skill

> genpark-agent-artifact-cache-version-checkpoint-skill — alphaparkinc-genpark-agent-artifact-cache-version-checkpoint-skill. Use this tool when you need to manage and optimize agent artifact caching and snapshotting for high-throughput applications, solving version control and data consistency problems. It provides a checkpointing mechanism with git capabilities, accepting cache and snapshot inputs and producing optimized cache outputs. Ideal for use cases requiring frequent caching and versioning, such as continuous integration and deployment pipelines.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-agent-artifact-cache-version-checkpoint-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agent-artifact-cache-version-checkpoint-skill

## Description

High-throughput agent artifact cache & snapshot checkpointer (BearDrive 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-agent-artifact-cache-version-checkpoint-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-agent-artifact-cache-version-checkpoint-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agent-artifact-cache-version-checkpoint-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agent-artifact-cache-version-checkpoint-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