content-research-brief
基于真实来源构建研究驱动的选题与写作提纲。
研究主题并收集来源文章，输出结构化研究简报供写作使用。
帮你把一个话题的 5–10 篇真实来源抓齐、按主题打标签、提取关键数据并合成成一份结构化的研究简报，方便后续写作不凭空臆测。用在写文章前需要证据、找最新素材或做新闻/趋势汇总时。特点是输出可供下游写作技能直接消费的、有来源的内容角度和证据点。
▸ 展开 SKILL.md 英文原文
Research trending topics, collect source articles, and generate a structured research brief for content creation. Stop writing from thin air — write from real sources. Use this skill when the user wants to research a topic before writing, collect sources for an article, create a research-backed content brief, or says "research [topic] for me", "find sources about [keyword]", "content brief for [topic]", "what's the latest on [product]", "research before writing", "collect articles about [keyword]", "trending news about [topic]", "gather sources for my article", "brief me on [topic]", "what are people saying about [product]", "news roundup for [keyword]", "research brief", "source collection", "content research", "prep research for writing".
帮我安装这个 skill：https://raw.githubusercontent.com/Affitor/affiliate-skills/main/skills/content/content-research-brief/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/Affitor/affiliate-skills/main/skills/content/content-research-brief/SKILL.md"# Content Research Brief Research a topic by collecting 5-10 real source articles, auto-tagging them by theme, extracting key data points, and synthesizing unique content angles. The output is a structured research brief that any downstream content skill can consume. **The problem this solves:** Most AI-written affiliate content is generic because it's written from the model's training data — not from real, current sources. This skill forces research-first content creation: find real articles, extract real data, then write from those sources. The result is content with specific stats, real quotes, and current information that readers (and Google) actually value. Inspired by the [content-p