{
  "schemaVersion": "1.0",
  "item": {
    "slug": "openclaw-ok-computer-skill",
    "name": "Ok Computer Swarm",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/grahammiranda13/openclaw-ok-computer-skill",
    "canonicalUrl": "https://clawhub.ai/grahammiranda13/openclaw-ok-computer-skill",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/openclaw-ok-computer-skill",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=openclaw-ok-computer-skill",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "_meta.json",
      "requirements.txt",
      "scripts/swarm_search.py"
    ],
    "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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.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/openclaw-ok-computer-skill"
    },
    "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/openclaw-ok-computer-skill",
    "agentPageUrl": "https://openagent3.xyz/skills/openclaw-ok-computer-skill/agent",
    "manifestUrl": "https://openagent3.xyz/skills/openclaw-ok-computer-skill/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/openclaw-ok-computer-skill/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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Overview",
        "body": "This skill lets OpenClaw emulate the “100 sub‑agents” style of Kimi’s Agent Swarm【453334500861599†L40-L99】.  When you need to research several topics at once, the skill\nspins up lightweight sub‑agents that fetch the top web results via DuckDuckGo.  By running these tasks in parallel, the skill reduces overall waiting time and surfaces a diverse set of sources."
      },
      {
        "title": "/ok-computer-swarm search",
        "body": "Run concurrent searches for multiple topics.\n\nInputs\n\nquery (string, repeated):  One or more search phrases.  You can provide multiple query flags to search many topics at once.  At least one query is required.\n\nExample\n\npython scripts/swarm_search.py --query \"Agent Swarm\" --query \"OpenClaw skills\"\n\nOutput\n\nThe script prints a JSON array where each element corresponds to a search query.  Each element contains the original query and an array of result objects (title and URL).  The format is easy for downstream agents to parse and can be further processed or summarised."
      },
      {
        "title": "When to use this skill",
        "body": "Use ok-computer-swarm whenever you need to gather high‑level information on multiple topics concurrently.  It is ideal for:\n\nBroad research tasks that involve several different subjects.\nGenerating a starting point for more in‑depth analysis.\nSituations where time is critical and sequential research would be too slow."
      },
      {
        "title": "Limitations",
        "body": "The skill uses DuckDuckGo’s free API; results may be less comprehensive than paid search APIs.\nIt performs minimal summarisation.  Consider integrating additional summarisation or reading tools if you need deeper insights."
      }
    ],
    "body": "OK Computer Swarm\nOverview\n\nThis skill lets OpenClaw emulate the “100 sub‑agents” style of Kimi’s Agent Swarm【453334500861599†L40-L99】. When you need to research several topics at once, the skill spins up lightweight sub‑agents that fetch the top web results via DuckDuckGo. By running these tasks in parallel, the skill reduces overall waiting time and surfaces a diverse set of sources.\n\nCommands\n/ok-computer-swarm search\n\nRun concurrent searches for multiple topics.\n\nInputs\n\nquery (string, repeated): One or more search phrases. You can provide multiple query flags to search many topics at once. At least one query is required.\n\nExample\n\npython scripts/swarm_search.py --query \"Agent Swarm\" --query \"OpenClaw skills\"\n\n\nOutput\n\nThe script prints a JSON array where each element corresponds to a search query. Each element contains the original query and an array of result objects (title and URL). The format is easy for downstream agents to parse and can be further processed or summarised.\n\nWhen to use this skill\n\nUse ok-computer-swarm whenever you need to gather high‑level information on multiple topics concurrently. It is ideal for:\n\nBroad research tasks that involve several different subjects.\nGenerating a starting point for more in‑depth analysis.\nSituations where time is critical and sequential research would be too slow.\nLimitations\nThe skill uses DuckDuckGo’s free API; results may be less comprehensive than paid search APIs.\nIt performs minimal summarisation. Consider integrating additional summarisation or reading tools if you need deeper insights."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/grahammiranda13/openclaw-ok-computer-skill",
    "publisherUrl": "https://clawhub.ai/grahammiranda13/openclaw-ok-computer-skill",
    "owner": "grahammiranda13",
    "version": "0.1.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/openclaw-ok-computer-skill",
    "downloadUrl": "https://openagent3.xyz/downloads/openclaw-ok-computer-skill",
    "agentUrl": "https://openagent3.xyz/skills/openclaw-ok-computer-skill/agent",
    "manifestUrl": "https://openagent3.xyz/skills/openclaw-ok-computer-skill/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/openclaw-ok-computer-skill/agent.md"
  }
}