Turn collected research JSON files into a Markdown report with an anchored contents list, selected summary fields, and details grouped by category. Values marked uncertain or left empty are omitted.
将deep调研结果汇总为markdown报告，覆盖所有字段，跳过不确定值。
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See how to installReview the instructions the agent will receive before you install.
/research-report
在当前工作目录查找 */outline.yaml，读取topic和output_dir配置。
读取所有JSON结果，提取适合在目录中显示的字段（数值型、简短指标），例如：
使用AskUserQuestion询问用户：
在 {topic}/ 目录下生成 generate_report.py，脚本要求：
{topic}/report.md目录格式要求：
1. [GitHub Copilot](#github-copilot) - Stars: 10k | Score: 85%1. JSON结构兼容 支持两种JSON结构：
{"name": "xxx", "release_date": "xxx"}{"basic_info": {"name": "xxx"}, "technical_features": {...}}字段查找顺序：顶层 -> category映射key -> 遍历所有嵌套dict
2. Category多语言映射 fields.yaml的category名与JSON的key可能是任意组合（中中、中英、英中、英英）。必须建立双向映射：
CATEGORY_MAPPING = {
"基本信息": ["basic_info", "基本信息"],
"技术特性": ["technical_features", "technical_characteristics", "技术特性"],
"性能指标": ["performance_metrics", "performance", "性能指标"],
"里程碑意义": ["milestone_significance", "milestones", "里程碑意义"],
"商业信息": ["business_info", "commercial_info", "商业信息"],
"竞争与生态": ["competition_ecosystem", "competition", "竞争与生态"],
"历史沿革": ["history", "历史沿革"],
"市场定位": ["market_positioning", "market", "市场定位"],
}
3. 复杂值格式化
|分隔kv<br>或使用blockquote格式，提高可读性4. 额外字段收集 收集JSON中有但fields.yaml中没定义的字段，放入"其他信息"分类。注意过滤：
_source_file, uncertainbasic_info, technical_features等uncertain数组：需要逐行显示每个字段名，不要压缩成一行5. 不确定值跳过 跳过条件：
[不确定]字符串uncertain数组中运行 python {topic}/generate_report.py
{topic}/generate_report.py - 转换脚本{topic}/report.md - 汇总报告No reviews yet. Tell others what you thought.
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Create a preliminary research plan from a topic. The skill proposes subjects and fields, asks about scope and timing, supplements the framework with web search, and saves an outline and field definitions.
Turn a topic into a structured preliminary research plan. It drafts subjects and comparison fields, gathers time-scoped additions through web search, then writes an outline and field definitions for deeper research.
Extend an existing research outline with field definitions. Provide field names yourself or request common suggestions from a web search, then choose the fields, categories, and detail levels to append to fields.yaml after review.
Add field definitions to an existing research outline. Review suggested fields from your input or a web search, choose their categories and detail levels, then confirm which ones to append to fields.yaml.
Add requested research topics to an existing outline.yaml file. The skill checks for duplicates, shows the changes for confirmation, and saves the updated outline in place.
Expand an existing research outline by adding research subjects, called items. Combine subjects supplied by the user with optional web search suggestions, check for duplicates, and confirm the additions before updating outline.yaml.