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
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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Status
ACTIVE
Visibility
PUBLIC
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。
# 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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