# genpark-kimi-k3-context-optimizer-skill

> genpark-kimi-k3-context-optimizer-skill — alphaparkinc-genpark-kimi-k3-context-optimizer-skill. Use this tool when you need to optimize context slicing for massive 3T models, solving problems related to computational efficiency and resource allocation. It takes in large model contexts and outputs optimized slices, streamlining the processing of extensive data sets. Ideal for use cases involving massive language models, such as genpark-kimi-k3, where computational resources are limited.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-kimi-k3-context-optimizer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-kimi-k3-context-optimizer-skill

## Description

Context slicing optimizer for massive 3T models

## 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-kimi-k3-context-optimizer-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-kimi-k3-context-optimizer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-kimi-k3-context-optimizer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-kimi-k3-context-optimizer-skill/pull`

---
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