# genpark-coding-agent-context-compressor-cost-reducer-skill

> genpark-coding-agent-context-compressor-cost-reducer-skill — alphaparkinc-genpark-coding-agent-context-compressor-cost-reducer-skill. Use this tool when you need to optimize AI coding agent performance by compressing context and reducing costs. It solves problems related to inefficient resource allocation and high operational expenses in coding tasks, particularly in git-based workflows. The tool takes in coding context and outputs compressed, cost-effective solutions, making it ideal for use cases where resource optimization is crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-coding-agent-context-compressor-cost-reducer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-coding-agent-context-compressor-cost-reducer-skill

## Description

AI coding agent context compressor & cost reducer (Paritok 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-coding-agent-context-compressor-cost-reducer-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-coding-agent-context-compressor-cost-reducer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-coding-agent-context-compressor-cost-reducer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-coding-agent-context-compressor-cost-reducer-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