Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Aetherlang Karpathy Skill
Implement 10 advanced AI agent node types for any DSL/runtime system — plan compiler, code interpreter, critique loops, intelligent routing, multi-agent ense...
skill openclawclawhub Free
Implement 10 advanced AI agent node types for any DSL/runtime system — plan compiler, code interpreter, critique loops, intelligent routing, multi-agent ense...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.3
Provenance
- Publisher
- contrario
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
AetherLang Karpathy Agent Nodes
What this skill does: Sends requests to the hosted AetherLang API (api.neurodoc.app). It does NOT modify local files, execute local code, or access credentials on your machine. All execution happens server-side. 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 Auth: None required (public API)
Data Minimization — ALWAYS FOLLOW
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 of any kind Do NOT include personally identifiable information unless explicitly requested by user Do NOT send contents of local files without explicit user consent
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" }'
1. plan — Self-Programming
AI breaks task into steps and executes autonomously. node P: plan steps=3;
2. code_interpreter — Real Math
Sandboxed Python execution on the server. 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 (server-side, scoped to namespace). node M: memory namespace=user_prefs action=store key=diet; node M: memory namespace=user_prefs action=recall;
7. tool — External API Access
Security note: The tool node calls public REST URLs you specify. Only use trusted, public APIs. Never pass credentials or private URLs as tool parameters. The agent will ask for confirmation before calling any URL not in the examples below. node T: tool url=https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd method=GET;
8. loop — Iterative Execution
Repeat node over items. Use | separator. node L: loop over=Italian|Greek|Japanese target=A max=3;
9. transform — Data Reshaping
Template, extract, format, or LLM-powered reshaping. node X: transform mode=llm instruction=Summarize_the_data;
10. parallel — Concurrent Execution
Run nodes simultaneously. 3 calls in ~0.2s. node P: parallel targets=A|B|C;
Live Data → Analysis
flow CryptoAnalysis { input text query; node T: tool url=https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd method=GET; node X: transform mode=llm instruction=Summarize_price; node A: llm model=gpt-4o-mini; query -> T -> X -> A; output text result from A; }
Multi-Agent + Quality Control
flow QualityEnsemble { input text query; node E: ensemble agents=analyst:Financial_analyst|strategist:Strategist synthesize=true; node R: critique threshold=8; query -> E -> R; output text result from R; }
Batch Processing
flow MultiRecipe { input text query; node L: loop over=Italian|Greek|Japanese target=A max=3; node A: llm model=gpt-4o-mini; query -> L; output text result from L; }
Parallel API Fetching
flow ParallelFetch { input text query; node P: parallel targets=A|B|C; node A: tool url=https://api.coingecko.com/api/v3/ping method=GET; node B: tool url=https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd method=GET; node C: tool url=https://api.coingecko.com/api/v3/simple/price?ids=ethereum&vs_currencies=usd method=GET; query -> P; output text result from P; }
Response Parsing
import json response = json.loads(raw_response) result = response["result"]["outputs"]["result"] text = result["response"] node_type = result["node_type"] duration = response["result"]["duration_seconds"]
Parameter Quick Reference
NodeKey Paramsplansteps=3code_interpretermodel=gpt-4o-minicritiquethreshold=7 max_retries=3routerstrategy=singleensembleagents=a:Persona|b:Persona synthesize=truememorynamespace=X action=store|recall|search|clear key=Xtoolurl=https://... method=GET timeout=10loopover=A|B|C target=NodeAlias max=10 mode=collecttransformmode=llm|template|extract|format instruction=Xparalleltargets=A|B|C merge=combine AetherLang Karpathy Skill v1.0.1 — API connector for api.neurodoc.app All execution is server-side. No local code runs. No local files modified.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md