analyze-videohao-viral-posts

name analyze-videohao-viral-posts description Analyze 微信视频号/视频号 viral post materials for advertising operations. Use when the user provides a cover image and title, optional script document, transcript/copy, influencer name, platform, or content scene, and asks for 爆文分析、视频号爆文分析、封面标题解析、标题拆解、内容分析、达人投放复盘、广告素材复盘、种草视频拆解, especially to explain why a post attracts clicks, keeps viewers, lowers ad feel, and naturally introduces a product or tool. Analyze Videohao Viral Posts Workflow Identify the available inputs: cover image, title text, transcript, script document, influencer profile, platform, content scene, product, and campaign goal. Read references/analysis-framework.md before producing the analysis. If the user provides an image, inspect it directly. Capture visible text, subject/persona, scene, product/logo exposure, visual hierarchy, and emotional signal. If the user provides only a title without a cover image, analyze the title and state that visual cover cues are unavailable. If the user provides a transcript or script, analyze the content structure from the actual wording. If both are missing, provide only cover/title analysis and ask for transcript only when content analysis is required. Output in Chinese unless the user requests another language. Default Output Use this two-section format by default: ### 封面&标题解析 [1 concise paragraph explaining audience filtering, click trigger, persona/scene/visual mechanics, and title hook.] ### 内容分析 [1 concise paragraph explaining opening hook, pain or curiosity setup, product introduction path, concrete feature demonstration, emotional value, and ad-feel control.] For multiple posts, repeat the two sections under each item name, such as ## 达人名 / 场景 . Analysis Standards Explain the mechanism, not just the content. Prefer "通过 X 让 Y 人群产生 Z" over "内容很吸引人". Anchor every judgment in observable evidence from the cover, title, transcript, or script. Prioritize ad-operations usefulness: who is filtered in, why they click, why they keep watching, how the product is introduced, which selling point is proven, and how hard-sell feeling is reduced. Keep each section close to the style of the provided examples: usually 1 paragraph, direct, specific, and operational. Treat examples and named scenes in the reference as calibration samples, not allowed categories. Generalize to any similar 视频号爆文 by identifying the underlying mechanism. Do not output a generic "爆文公式总结" unless the user explicitly asks for formulas or patterns. This skill focuses on per-post analysis. Do not invent cover details when no image is provided. Do not claim a script-document detail was read if only a title or transcript was supplied. Iteration Protocol Do not update or "沉淀" this skill after ordinary analysis requests, even if the user gives feedback on one output. Treat feedback as current-conversation guidance unless the user explicitly asks to update,沉淀,固化,写进 skill, or "以后都这样". When the user asks to沉淀, first summarize the proposed reusable changes and ask for confirmation before editing files. In the confirmation summary, state: what will be added or changed, which file will be edited, the intended scope, and what existing capability will be preserved. After confirmation, prefer additive, scoped updates over replacing broad rules. Generalize from repeated or clearly reusable feedback; avoid writing one-off preferences as universal rules. Keep the skill concise. Merge duplicate guidance, avoid long raw examples, and validate the skill after edits. Resource references/analysis-framework.md : detailed dimensions, case-derived patterns, sentence templates, and quality checks for 视频号爆文分析.