{
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  "item": {
    "slug": "ask-council",
    "name": "Ask Council",
    "source": "tencent",
    "type": "skill",
    "category": "通讯协作",
    "sourceUrl": "https://clawhub.ai/jeadland/ask-council",
    "canonicalUrl": "https://clawhub.ai/jeadland/ask-council",
    "targetPlatform": "OpenClaw"
  },
  "install": {
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    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ask-council",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "_meta.json",
      "ask-council.sh"
    ],
    "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": [
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        "Paste one of the prompts below and point your agent at the extracted folder."
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      "prompts": [
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          "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."
        }
      ]
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      "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",
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        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
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        "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/ask-council"
    },
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      "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."
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    "agentPageUrl": "https://openagent3.xyz/skills/ask-council/agent",
    "manifestUrl": "https://openagent3.xyz/skills/ask-council/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/ask-council/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": "Ask Council — Quick Headless Access",
        "body": "Get LLM Council's synthesized answer without leaving your chat."
      },
      {
        "title": "Usage",
        "body": "/council Should I invest in Tesla right now?\n\nReturns the Chairman's synthesized answer after all models have debated."
      },
      {
        "title": "How It Works",
        "body": "Sends your question to the LLM Council backend\nWaits for Stage 1 (all models respond)\nWaits for Stage 2 (models rank each other)\nReturns Stage 3 (Chairman's final synthesis)\n\nTakes 30-60 seconds — models need time to deliberate."
      },
      {
        "title": "Prerequisites",
        "body": "LLM Council backend must be running:\n\n/install-llm-council"
      },
      {
        "title": "Two Ways to Use LLM Council",
        "body": "ModeBest ForCommandQuick answer (this skill)Fast decisions, mobile, casual questions/council \"question\"Full discussion (web UI)Deep research, exploring disagreements, seeing all model responses/install-llm-council then open browser"
      },
      {
        "title": "Example",
        "body": "Input:\n\n/council Is Python or Go better for a new microservice?\n\nOutput:\n\nCouncil is deliberating... (this may take 30-60s)\n................\n\n═══════════════════════════════════════════════════════════════\n                    CHAIRMAN'S ANSWER\n═══════════════════════════════════════════════════════════════\n\nBased on the council's deliberation, Python is recommended for rapid \nprototyping and team velocity, while Go excels for high-throughput \nservices where performance is critical...\n\n═══════════════════════════════════════════════════════════════\n\nView full discussion: http://10.0.1.184:5173"
      },
      {
        "title": "Agent Instructions",
        "body": "When user says /council <question> or \"ask council\":\n\nbash ~/.openclaw/skills/ask-council/ask-council.sh \"<question>\"\n\nThe script handles:\n\nCreating a conversation\nStarting the council run\nPolling until complete\nExtracting the chairman's answer\nShowing progress dots while waiting"
      },
      {
        "title": "Files",
        "body": "FilePurposeSKILL.mdDocumentationask-council.shMain script — queries API and returns answer_meta.jsonSkill metadata"
      },
      {
        "title": "Notes",
        "body": "Timeout: 120 seconds\nIf backend isn't running, suggests starting it\nAlways includes link to full web UI for detailed exploration\nCreates a new conversation each time (no history)"
      }
    ],
    "body": "Ask Council — Quick Headless Access\n\nGet LLM Council's synthesized answer without leaving your chat.\n\nUsage\n/council Should I invest in Tesla right now?\n\n\nReturns the Chairman's synthesized answer after all models have debated.\n\nHow It Works\nSends your question to the LLM Council backend\nWaits for Stage 1 (all models respond)\nWaits for Stage 2 (models rank each other)\nReturns Stage 3 (Chairman's final synthesis)\n\nTakes 30-60 seconds — models need time to deliberate.\n\nPrerequisites\n\nLLM Council backend must be running:\n\n/install-llm-council\n\nTwo Ways to Use LLM Council\nMode\tBest For\tCommand\nQuick answer (this skill)\tFast decisions, mobile, casual questions\t/council \"question\"\nFull discussion (web UI)\tDeep research, exploring disagreements, seeing all model responses\t/install-llm-council then open browser\nExample\n\nInput:\n\n/council Is Python or Go better for a new microservice?\n\n\nOutput:\n\nCouncil is deliberating... (this may take 30-60s)\n................\n\n═══════════════════════════════════════════════════════════════\n                    CHAIRMAN'S ANSWER\n═══════════════════════════════════════════════════════════════\n\nBased on the council's deliberation, Python is recommended for rapid \nprototyping and team velocity, while Go excels for high-throughput \nservices where performance is critical...\n\n═══════════════════════════════════════════════════════════════\n\nView full discussion: http://10.0.1.184:5173\n\nAgent Instructions\n\nWhen user says /council <question> or \"ask council\":\n\nbash ~/.openclaw/skills/ask-council/ask-council.sh \"<question>\"\n\n\nThe script handles:\n\nCreating a conversation\nStarting the council run\nPolling until complete\nExtracting the chairman's answer\nShowing progress dots while waiting\nFiles\nFile\tPurpose\nSKILL.md\tDocumentation\nask-council.sh\tMain script — queries API and returns answer\n_meta.json\tSkill metadata\nNotes\nTimeout: 120 seconds\nIf backend isn't running, suggests starting it\nAlways includes link to full web UI for detailed exploration\nCreates a new conversation each time (no history)"
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/jeadland/ask-council",
    "publisherUrl": "https://clawhub.ai/jeadland/ask-council",
    "owner": "jeadland",
    "version": "1.0.4",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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