Rechercher

PythonReactSEOPDF
OpenClaw

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.

contrario0 installations selon la source☆ 0 Étoiles du dépôtv1.0.2

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install contrario/aetherlang-karpathy-skill

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/contrario/aetherlang-karpathy-skill
Version
1.0.2
Commit
af8df770b688d8ffe00e742eda29b1dbe0878917
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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...

Skills associés

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

139mail

chang-tong

139邮箱邮件收发 Skill - 支持 IMAP/SMTP 协议,兼容139/QQ/163/Gmail等主流邮箱 功能: 1. 发送邮件(SMTP) 2. 接收邮件(IMAP) 3. 查看收件箱列表 4. 查看未读邮件 当用户提到 "发邮件"、"收邮件"、"查看邮件"、"邮箱"...