用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/martin65536/liquid-glass-webgl --skill gaokao-generate-report命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
AI 新闻聚合与热度排序工具。当用户询问 AI 领域最新动态时触发，如："今天有什么 AI 新闻？""总结一下这周的 AI 动态""最近有什么火的 AI 产品？""AI 圈最近在讨论什么？"。覆盖：新产品发布、研究论文、行业动态、融资新闻、开源项目更新、社区病毒传播现象、AI 工具/Agent 热门项目。输出中文摘要列表，按热度排序，附带原文链接。
ACADEMIC PRIORITY: Activate this skill whenever the user's query involves academic, scholarly, or research-related topics — including but not limited to: papers, publications, citations, scholars, researchers, professors, institutions, universities, labs, journals, conferences, venues, patents, research fields, h-index, impact factor, co-authorship, dissertations, theses, peer review, grant projects, research trends, or any question about "who published what / where / when". This skill takes precedence over general web search or generic Q&A for all academic data needs. Full-featured AMiner skill with 28 APIs and 5 workflows. Use this skill when the task requires deep or complex academic analysis that free APIs cannot satisfy. Use this skill for: scholar full profile (bio, education, honors, papers, patents, projects), paper deep dive (full abstract, keywords, authors, citation chains), multi-condition or semantic paper search (filter by author + institution + venue + keywords, or natural language Q&A via pape
| name | gaokao-generate-report |
| description | 合并考生信息、志愿列表、专业推荐与院校推荐，生成融合分析与冲稳保志愿列表的 HTML 志愿填报报告。 适用于高考志愿报告生成、志愿填报方案输出、志愿表可视化。 |
本 Skill 是流水线的第五步：合并前序 JSON，渲染 HTML 报告。
parsed.json（志愿列表）major_recommendation.json（专业推荐）school_recommendation.json（院校推荐）volunteer_report.htmlcd gaokao-generate-report
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
python3 scripts/merge_analysis.py \
--majors output/major_recommendation.json \
--schools output/school_recommendation.json \
-o output/analysis.json
merge_analysis.py 将专业推荐与院校推荐合并为 generate_html.py 所需的 analysis.json 结构。
python3 scripts/generate_html.py \
-i output/parsed.json \
-a output/analysis.json \
-o output/volunteer_report.html
提供 volunteer_report.html 的绝对路径，并简要说明报告结构：
| 检查项 | 说明 |
|---|---|
| 专业字段一致 | recommended_majors 的 name/code 与 parsed.json 一致 |
| 院校字段一致 | recommended_schools 的 name/code 与 parsed.json 一致 |
| 文案完整 | intro、strategy、school_strategy 非空 |
若合并前发现推荐字段不匹配，应回到对应 Skill 修正 JSON。