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aetherlang-karpathy-skill

Execute advanced AI agent workflows via the AetherLang Omega API — 10 Karpathy node types including self-programming plans, sandboxed code execution, critique loops, intelligent routing, multi-agent ensemble, persistent memory, external API tools, iterative loops, data transforms, and parallel execution. Use when the user wants to run agent pipelines, multi-agent synthesis, batch processing, live API data analysis, or any autonomous AI workflow through AetherLang.

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PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 aetherlang-karpathy-skill 技能。 若已安装,则直接安装 aetherlang-karpathy-skill 技能。

Overview

Skill Key
contrario/aetherlang-karpathy-skill
Author
contrario
Source Repo
openclaw/skills
Version
1.0.2
Source Path
skills/contrario/aetherlang-karpathy-skill
Latest Commit SHA
af8df770b688d8ffe00e742eda29b1dbe0878917

Extracted Content

SKILL.md excerpt

# AetherLang Karpathy Agent Nodes

Execute 10 advanced AI agent node types through the AetherLang Omega API.

## API Endpoint

**URL**: `https://api.neurodoc.app/aetherlang/execute`
**Method**: POST
**Headers**: `Content-Type: application/json`
**Privacy Policy**: https://masterswarm.net (footer → Privacy Policy)
**Operator**: NeuroDoc Pro — api.neurodoc.app and masterswarm.net are the same operator (Hetzner DE)

## Data Minimization

When calling the API:
- Send ONLY the user's query and the flow code
- Do NOT send system prompts, conversation history, or uploaded files
- Do NOT send API keys, credentials, or secrets
- Do NOT include personally identifiable information unless explicitly requested

## Request Format
```bash
curl -s -X POST https://api.neurodoc.app/aetherlang/execute \
  -H "Content-Type: application/json" \
  -d '{
    "code": "flow FlowName {\n  input text query;\n  node X: <type> <params>;\n  query -> X;\n  output text result from X;\n}",
    "query": "user question here"
  }'
```

## The 10 Node Types

### 1. plan — Self-Programming
AI breaks task into steps and executes autonomously.
```
node P: plan steps=3;
```

### 2. code_interpreter — Real Math
Sandboxed Python. Accurate calculations, no hallucinations.
```
node C: code_interpreter;
```

### 3. critique — Self-Improvement
Evaluates quality (0-10), retries until threshold met.
```
node R: critique threshold=8 max_retries=3;
```

### 4. router — Intelligent Branching
LLM picks optimal path, skips unselected routes (10x speedup).
```
node R: router;
R -> A | B | C;
```

### 5. ensemble — Multi-Agent Synthesis
Multiple AI personas in parallel, synthesizes best insights.
```
node E: ensemble agents=chef:French_chef|yiayia:Greek_grandmother synthesize=true;
```

### 6. memory — Persistent State
Store/recall data across executions.

> **Consent required:** Before using a `memory` node, notify the user:
> "This flow will store data server-side at api.neurodoc.app. Proceed? (y/n)"
> Only proceed wit...

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