# genpark-llm-token-context-compressor-cost-reducer-skill

> genpark-llm-token-context-compressor-cost-reducer-skill — alphaparkinc-genpark-llm-token-context-compressor-cost-reducer-skill. Use this tool when you need to optimize large language model (LLM) prompts and reduce API costs. It compresses prompt context to improve efficiency and minimize expenses, ideal for applications with high LLM usage. By integrating with git, it streamlines the compression process, taking in lengthy prompts and outputting condensed, cost-effective versions.

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

## Description

High-efficiency LLM prompt context compressor & API cost reducer

## 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-llm-token-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-llm-token-context-compressor-cost-reducer-skill"
    }
  }
}
```

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