Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
AetherLang V3 for Claude Code
Execute AetherLang V3 AI workflows from Claude Code using nine specialized engines for culinary, business, research, marketing, and strategic analyses.
skill openclawclawhub Free
Execute AetherLang V3 AI workflows from Claude Code using nine specialized engines for culinary, business, research, marketing, and strategic analyses.
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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
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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
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Documentation
AetherLang V3 โ Claude Code Integration Skill
Use this skill to execute AetherLang V3 AI workflows from Claude Code. AetherLang provides 9 specialized AI engines for culinary consulting, business strategy, scientific research, and more.
API Endpoint
POST https://api.neurodoc.app/aetherlang/execute Content-Type: application/json No API key required for free tier (100 req/hour).
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 Pro API key: If using the Pro tier (X-Aether-Key header), store the key in an environment variable โ never hardcode it in flow code or scripts. export AETHER_KEY=your_key_here then use -H "X-Aether-Key: $AETHER_KEY"
1. Simple Engine Call
curl -s -X POST https://api.neurodoc.app/aetherlang/execute \ -H "Content-Type: application/json" \ -d '{ "code": "flow Chat {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Engine: <ENGINE_TYPE> analysis=\"auto\";\n output text result from Engine;\n}", "query": "USER_QUESTION_HERE" }' Replace <ENGINE_TYPE> with one of: chef, molecular, apex, consulting, marketing, lab, oracle, assembly, analyst
2. Multi-Engine Pipeline
curl -s -X POST https://api.neurodoc.app/aetherlang/execute \ -H "Content-Type: application/json" \ -d '{ "code": "flow Pipeline {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Guard: guard mode=\"MODERATE\";\n node Research: lab domain=\"business\";\n node Strategy: apex analysis=\"strategic\";\n Guard -> Research -> Strategy;\n output text report from Strategy;\n}", "query": "USER_QUESTION_HERE" }'
Available V3 Engines
Engine TypeUse ForKey V3 FeatureschefRecipes, food consulting17 sections: food cost, HACCP, thermal curves, wine pairing, plating blueprint, zero wastemolecularMolecular gastronomyRheology dashboard, phase diagrams, hydrocolloid specs, FMEA failure analysisapexBusiness strategyGame theory, Monte Carlo (10K sims), behavioral economics, unit economics, Blue OceanconsultingStrategic consultingCausal loops, theory of constraints, Wardley maps, ADKAR change managementmarketingMarket researchTAM/SAM/SOM, Porter's 5 Forces, pricing elasticity, viral coefficientlabScientific researchEvidence grading (A-D), contradiction detector, reproducibility scoreoracleForecastingBayesian updating, black swan scanner, adversarial red team, Kelly criterionassemblyMulti-agent debate12 neurons voting (8/12 supermajority), Gandalf VETO, devil's advocateanalystData analysisAuto-detective, statistical tests, anomaly detection, predictive modeling
Flow Syntax Reference
flow <Name> { using target "neuroaether" version ">=0.2"; input text query; node <NodeName>: <engine_type> <params>; node <NodeName2>: <engine_type2> <params>; <NodeName> -> <NodeName2>; output text result from <NodeName2>; }
Node Parameters
chef: cuisine="auto", difficulty="medium", servings=4 apex: analysis="strategic" guard: mode="STRICT" or "MODERATE" or "PERMISSIVE" plan: steps=4 lab: domain="business" or "science" or "auto" analyst: mode="financial" or "sales" or "hr" or "general"
Response Format
{ "status": "success", "result": { "outputs": { ... }, "final_output": "Full structured markdown response", "execution_log": [...], "duration_seconds": 45.2 } } Extract the main response from result.final_output.
Example: Parse Response in Bash
curl -s -X POST https://api.neurodoc.app/aetherlang/execute \ -H "Content-Type: application/json" \ -d '{"code":"flow Chef {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node Chef: chef cuisine=\"auto\";\n output text recipe from Chef;\n}","query":"Carbonara recipe"}' \ | python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('result',{}).get('final_output','No output'))"
Example: Python Integration
import requests def aetherlang_query(engine, query): code = f'''flow Q {{ using target "neuroaether" version ">=0.2"; input text query; node E: {engine} analysis="auto"; output text result from E; }}''' r = requests.post("https://api.neurodoc.app/aetherlang/execute", json={"code": code, "query": query}) return r.json().get("result", {}).get("final_output", "") # Usage print(aetherlang_query("apex", "Strategy for AI startup with 1000 euro")) print(aetherlang_query("chef", "Best moussaka recipe")) print(aetherlang_query("oracle", "Will AI replace 50% of jobs by 2030?"))
Rate Limits
TierLimitAuthFree100 req/hourNone requiredPro500 req/hourX-Aether-Key header
Notes
Responses are in Greek (ฮฮปฮปฮทฮฝฮนฮบฮฌ) with markdown formatting Typical response time: 30-60 seconds per engine Multi-engine pipelines take longer (each node runs sequentially) All outputs use ## markdown headers for structured sections
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md