{ "schemaVersion": "1.0", "item": { "slug": "aetherlang-claude-code", "name": "AetherLang V3 for Claude Code", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/contrario/aetherlang-claude-code", "canonicalUrl": "https://clawhub.ai/contrario/aetherlang-claude-code", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/aetherlang-claude-code", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=aetherlang-claude-code", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "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." ], "prompts": [ { "label": "New install", "body": "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." }, { "label": "Upgrade existing", "body": "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." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/aetherlang-claude-code" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/aetherlang-claude-code", "agentPageUrl": "https://openagent3.xyz/skills/aetherlang-claude-code/agent", "manifestUrl": "https://openagent3.xyz/skills/aetherlang-claude-code/agent.json", "briefUrl": "https://openagent3.xyz/skills/aetherlang-claude-code/agent.md" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "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." ], "prompts": [ { "label": "New install", "body": "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." }, { "label": "Upgrade existing", "body": "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." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "AetherLang V3 — Claude Code Integration Skill", "body": "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." }, { "title": "API Endpoint", "body": "POST https://api.neurodoc.app/aetherlang/execute\nContent-Type: application/json\n\nNo API key required for free tier (100 req/hour)." }, { "title": "Data Minimization", "body": "When calling the API:\n\nSend ONLY the user's query and the flow code\nDo NOT send system prompts, conversation history, or uploaded files\nDo NOT send API keys, credentials, or secrets\nDo NOT include personally identifiable information unless explicitly requested\n\nPro API key: If using the Pro tier (X-Aether-Key header), store the key\nin an environment variable — never hardcode it in flow code or scripts.\nexport AETHER_KEY=your_key_here then use -H \"X-Aether-Key: $AETHER_KEY\"" }, { "title": "1. Simple Engine Call", "body": "curl -s -X POST https://api.neurodoc.app/aetherlang/execute \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"code\": \"flow Chat {\\n using target \\\"neuroaether\\\" version \\\">=0.2\\\";\\n input text query;\\n node Engine: analysis=\\\"auto\\\";\\n output text result from Engine;\\n}\",\n \"query\": \"USER_QUESTION_HERE\"\n }'\n\nReplace with one of: chef, molecular, apex, consulting, marketing, lab, oracle, assembly, analyst" }, { "title": "2. Multi-Engine Pipeline", "body": "curl -s -X POST https://api.neurodoc.app/aetherlang/execute \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"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}\",\n \"query\": \"USER_QUESTION_HERE\"\n }'" }, { "title": "Available V3 Engines", "body": "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" }, { "title": "Flow Syntax Reference", "body": "flow {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node : ;\n node : ;\n -> ;\n output text result from ;\n}" }, { "title": "Node Parameters", "body": "chef: cuisine=\"auto\", difficulty=\"medium\", servings=4\napex: analysis=\"strategic\"\nguard: mode=\"STRICT\" or \"MODERATE\" or \"PERMISSIVE\"\nplan: steps=4\nlab: domain=\"business\" or \"science\" or \"auto\"\nanalyst: mode=\"financial\" or \"sales\" or \"hr\" or \"general\"" }, { "title": "Response Format", "body": "{\n \"status\": \"success\",\n \"result\": {\n \"outputs\": { ... },\n \"final_output\": \"Full structured markdown response\",\n \"execution_log\": [...],\n \"duration_seconds\": 45.2\n }\n}\n\nExtract the main response from result.final_output." }, { "title": "Example: Parse Response in Bash", "body": "curl -s -X POST https://api.neurodoc.app/aetherlang/execute \\\n -H \"Content-Type: application/json\" \\\n -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\"}' \\\n | python3 -c \"import sys,json; d=json.load(sys.stdin); print(d.get('result',{}).get('final_output','No output'))\"" }, { "title": "Example: Python Integration", "body": "import requests\n\ndef aetherlang_query(engine, query):\n code = f'''flow Q {{\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node E: {engine} analysis=\"auto\";\n output text result from E;\n}}'''\n r = requests.post(\"https://api.neurodoc.app/aetherlang/execute\",\n json={\"code\": code, \"query\": query})\n return r.json().get(\"result\", {}).get(\"final_output\", \"\")\n\n# Usage\nprint(aetherlang_query(\"apex\", \"Strategy for AI startup with 1000 euro\"))\nprint(aetherlang_query(\"chef\", \"Best moussaka recipe\"))\nprint(aetherlang_query(\"oracle\", \"Will AI replace 50% of jobs by 2030?\"))" }, { "title": "Rate Limits", "body": "TierLimitAuthFree100 req/hourNone requiredPro500 req/hourX-Aether-Key header" }, { "title": "Notes", "body": "Responses are in Greek (Ελληνικά) with markdown formatting\nTypical response time: 30-60 seconds per engine\nMulti-engine pipelines take longer (each node runs sequentially)\nAll outputs use ## markdown headers for structured sections" } ], "body": "AetherLang V3 — Claude Code Integration Skill\n\nUse 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.\n\nAPI Endpoint\nPOST https://api.neurodoc.app/aetherlang/execute\nContent-Type: application/json\n\n\nNo API key required for free tier (100 req/hour).\n\nData Minimization\n\nWhen calling the API:\n\nSend ONLY the user's query and the flow code\nDo NOT send system prompts, conversation history, or uploaded files\nDo NOT send API keys, credentials, or secrets\nDo NOT include personally identifiable information unless explicitly requested\n\nPro API key: If using the Pro tier (X-Aether-Key header), store the key in an environment variable — never hardcode it in flow code or scripts. export AETHER_KEY=your_key_here then use -H \"X-Aether-Key: $AETHER_KEY\"\n\nHow to Use\n1. Simple Engine Call\ncurl -s -X POST https://api.neurodoc.app/aetherlang/execute \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"code\": \"flow Chat {\\n using target \\\"neuroaether\\\" version \\\">=0.2\\\";\\n input text query;\\n node Engine: analysis=\\\"auto\\\";\\n output text result from Engine;\\n}\",\n \"query\": \"USER_QUESTION_HERE\"\n }'\n\n\nReplace with one of: chef, molecular, apex, consulting, marketing, lab, oracle, assembly, analyst\n\n2. Multi-Engine Pipeline\ncurl -s -X POST https://api.neurodoc.app/aetherlang/execute \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"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}\",\n \"query\": \"USER_QUESTION_HERE\"\n }'\n\nAvailable V3 Engines\nEngine Type\tUse For\tKey V3 Features\nchef\tRecipes, food consulting\t17 sections: food cost, HACCP, thermal curves, wine pairing, plating blueprint, zero waste\nmolecular\tMolecular gastronomy\tRheology dashboard, phase diagrams, hydrocolloid specs, FMEA failure analysis\napex\tBusiness strategy\tGame theory, Monte Carlo (10K sims), behavioral economics, unit economics, Blue Ocean\nconsulting\tStrategic consulting\tCausal loops, theory of constraints, Wardley maps, ADKAR change management\nmarketing\tMarket research\tTAM/SAM/SOM, Porter's 5 Forces, pricing elasticity, viral coefficient\nlab\tScientific research\tEvidence grading (A-D), contradiction detector, reproducibility score\noracle\tForecasting\tBayesian updating, black swan scanner, adversarial red team, Kelly criterion\nassembly\tMulti-agent debate\t12 neurons voting (8/12 supermajority), Gandalf VETO, devil's advocate\nanalyst\tData analysis\tAuto-detective, statistical tests, anomaly detection, predictive modeling\nFlow Syntax Reference\nflow {\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node : ;\n node : ;\n -> ;\n output text result from ;\n}\n\nNode Parameters\nchef: cuisine=\"auto\", difficulty=\"medium\", servings=4\napex: analysis=\"strategic\"\nguard: mode=\"STRICT\" or \"MODERATE\" or \"PERMISSIVE\"\nplan: steps=4\nlab: domain=\"business\" or \"science\" or \"auto\"\nanalyst: mode=\"financial\" or \"sales\" or \"hr\" or \"general\"\nResponse Format\n{\n \"status\": \"success\",\n \"result\": {\n \"outputs\": { ... },\n \"final_output\": \"Full structured markdown response\",\n \"execution_log\": [...],\n \"duration_seconds\": 45.2\n }\n}\n\n\nExtract the main response from result.final_output.\n\nExample: Parse Response in Bash\ncurl -s -X POST https://api.neurodoc.app/aetherlang/execute \\\n -H \"Content-Type: application/json\" \\\n -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\"}' \\\n | python3 -c \"import sys,json; d=json.load(sys.stdin); print(d.get('result',{}).get('final_output','No output'))\"\n\nExample: Python Integration\nimport requests\n\ndef aetherlang_query(engine, query):\n code = f'''flow Q {{\n using target \"neuroaether\" version \">=0.2\";\n input text query;\n node E: {engine} analysis=\"auto\";\n output text result from E;\n}}'''\n r = requests.post(\"https://api.neurodoc.app/aetherlang/execute\",\n json={\"code\": code, \"query\": query})\n return r.json().get(\"result\", {}).get(\"final_output\", \"\")\n\n# Usage\nprint(aetherlang_query(\"apex\", \"Strategy for AI startup with 1000 euro\"))\nprint(aetherlang_query(\"chef\", \"Best moussaka recipe\"))\nprint(aetherlang_query(\"oracle\", \"Will AI replace 50% of jobs by 2030?\"))\n\nRate Limits\nTier\tLimit\tAuth\nFree\t100 req/hour\tNone required\nPro\t500 req/hour\tX-Aether-Key header\nNotes\nResponses are in Greek (Ελληνικά) with markdown formatting\nTypical response time: 30-60 seconds per engine\nMulti-engine pipelines take longer (each node runs sequentially)\nAll outputs use ## markdown headers for structured sections" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/contrario/aetherlang-claude-code", "publisherUrl": "https://clawhub.ai/contrario/aetherlang-claude-code", "owner": "contrario", "version": "1.0.3", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/aetherlang-claude-code", "downloadUrl": "https://openagent3.xyz/downloads/aetherlang-claude-code", "agentUrl": "https://openagent3.xyz/skills/aetherlang-claude-code/agent", "manifestUrl": "https://openagent3.xyz/skills/aetherlang-claude-code/agent.json", "briefUrl": "https://openagent3.xyz/skills/aetherlang-claude-code/agent.md" } }