{
  "schemaVersion": "1.0",
  "item": {
    "slug": "bradford-lecture-analyzer",
    "name": "Youtube Lecture Analyzer",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/wallfacer-web/bradford-lecture-analyzer",
    "canonicalUrl": "https://clawhub.ai/wallfacer-web/bradford-lecture-analyzer",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/bradford-lecture-analyzer",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=bradford-lecture-analyzer",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "scripts/analyze_lecture.py",
      "SKILL.md",
      "_meta.json"
    ],
    "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/bradford-lecture-analyzer"
    },
    "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/bradford-lecture-analyzer",
    "agentPageUrl": "https://openagent3.xyz/skills/bradford-lecture-analyzer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/bradford-lecture-analyzer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/bradford-lecture-analyzer/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": "YouTube 讲座字幕分析器",
        "body": "提取讲座核心结构、关键观点、证据与可执行行动，用于复盘/写作/教学。"
      },
      {
        "title": "使用方式",
        "body": "# 基础用法\npython scripts/analyze_lecture.py <YouTube视频ID或URL>\n\n# 指定语言优先级\npython scripts/analyze_lecture.py <YouTube视频ID或URL> \"zh-cn,en\"\n\n# 仅获取摘要\npython scripts/analyze_lecture.py <YouTube视频ID或URL> --summary-only"
      },
      {
        "title": "强制规则",
        "body": "只基于字幕，不要补充；不确定要标注【不确定】\n先去噪：合并重复观点、删除口头禅、修正口误\n每个关键结论附【原文短引文】10–30字\n区分：事实(Fact) / 观点(Claim) / 推断(Inference) / 建议(Recommendation)"
      },
      {
        "title": "输出结构",
        "body": "A) 一句话总论（≤25字）\nB) 讲座结构地图（3–6段）\nC) 5个关键问题及回答\nD) 核心概念与关系\nE) 可执行提炼（行动清单）\nF) 亮点与反直觉\nG) 盲区与待验证\n摘要（中文200字 + 英文200字）"
      },
      {
        "title": "依赖",
        "body": "youtube-transcript-api\nHTTP 代理：127.0.0.1:26739"
      }
    ],
    "body": "YouTube 讲座字幕分析器\n\n提取讲座核心结构、关键观点、证据与可执行行动，用于复盘/写作/教学。\n\n使用方式\n# 基础用法\npython scripts/analyze_lecture.py <YouTube视频ID或URL>\n\n# 指定语言优先级\npython scripts/analyze_lecture.py <YouTube视频ID或URL> \"zh-cn,en\"\n\n# 仅获取摘要\npython scripts/analyze_lecture.py <YouTube视频ID或URL> --summary-only\n\n输出格式\n强制规则\n只基于字幕，不要补充；不确定要标注【不确定】\n先去噪：合并重复观点、删除口头禅、修正口误\n每个关键结论附【原文短引文】10–30字\n区分：事实(Fact) / 观点(Claim) / 推断(Inference) / 建议(Recommendation)\n输出结构\nA) 一句话总论（≤25字）\nB) 讲座结构地图（3–6段）\nC) 5个关键问题及回答\nD) 核心概念与关系\nE) 可执行提炼（行动清单）\nF) 亮点与反直觉\nG) 盲区与待验证\n摘要（中文200字 + 英文200字）\n依赖\nyoutube-transcript-api\nHTTP 代理：127.0.0.1:26739"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/wallfacer-web/bradford-lecture-analyzer",
    "publisherUrl": "https://clawhub.ai/wallfacer-web/bradford-lecture-analyzer",
    "owner": "wallfacer-web",
    "version": "1.0.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/bradford-lecture-analyzer",
    "downloadUrl": "https://openagent3.xyz/downloads/bradford-lecture-analyzer",
    "agentUrl": "https://openagent3.xyz/skills/bradford-lecture-analyzer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/bradford-lecture-analyzer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/bradford-lecture-analyzer/agent.md"
  }
}