# genpark-continual-fewshot-exemplar-distiller-skill

> genpark-continual-fewshot-exemplar-distiller-skill — alpha-park-genpark-continual-fewshot-exemplar-distiller-skill. Use this tool when you need to distill high-scoring execution trajectories into prompt demonstrations for continual few-shot learning. It solves problems of efficient knowledge transfer and adaptation in dynamic environments with limited data. The tool takes in execution trajectories and outputs distilled prompt demonstrations, ideal for use cases where few-shot learning is crucial, such as rapid task adaptation and incremental learning.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-continual-fewshot-exemplar-distiller-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-continual-fewshot-exemplar-distiller-skill

## Description

Continual few-shot exemplar distiller mining high-scoring execution trajectories into prompt demonstrations

## 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-continual-fewshot-exemplar-distiller-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-continual-fewshot-exemplar-distiller-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-continual-fewshot-exemplar-distiller-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-continual-fewshot-exemplar-distiller-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