Agent skill

Skill Xhs Food Video

by wangzai-double-milk in wangzai-double-milk/Vibefilming

当用户要做小红书探店、美食或旅游类短视频,或要求参考/总结指定爆款视频、美食博主实拍报告时使用。负责提炼平台审美、爆款结构、实拍方法、镜头节奏、标题标签和内容约束,适合小红书生活方式内容。

MITAuto-check passed

Install Skill Xhs Food Video

skills CLI
$ npx skills add wangzai-double-milk/Vibefilming --skill skill-xhs-food-video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wangzai-double-milk/Vibefilming skill-xhs-food-video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wangzai-double-milk/Vibefilming.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill_xhs_food_video .claude/skills/skill-xhs-food-video && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-xhs-food-video
GitHub stars
162
Token cost
~1.1k tokens
SKILL.md length
254 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

当用户要做小红书探店、美食或旅游类短视频,或要求参考/总结指定爆款视频、美食博主实拍报告时使用。负责提炼平台审美、爆款结构、实拍方法、镜头节奏、标题标签和内容约束,适合小红书生活方式内容。

  • Works in 2 steps: 爆款视频拍摄方法研究报告 → 美食博主视频实拍分析报告
  • SKILL.md covers 执行卡, 红线速查, 一、两份报告的核心结论 and 二、探店视频默认结构(30-60 秒), plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Xhs Food Video is an agent skill from wangzai-double-milk/Vibefilming. 当用户要做小红书探店、美食或旅游类短视频,或要求参考/总结指定爆款视频、美食博主实拍报告时使用。负责提炼平台审美、爆款结构、实拍方法、镜头节奏、标题标签和内容约束,适合小红书生活方式内容。

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Xiaohongshu. The repository describes itself as: Open-source AI director agent that turns one plain sentence into a full short film—storyboard, shoot, review, retake, deliver. The licence is MIT.

Example prompts

  • “/skill-xhs-food-video”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. 爆款视频拍摄方法研究报告
  2. 美食博主视频实拍分析报告

What it can do on your machine

Read from SKILL.md and the folder at commit 7d85f7a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Xhs Food Video loads about 1.1k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 254 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wangzai-double-milk/Vibefilming at commit 7d85f7a, republished under its MIT licence (© wangzai-double-milk). 254 words, ~1,108 tokens.

Download SKILL.mdSave it as .claude/skills/skill-xhs-food-video/SKILL.md (or your agent's skills folder).
name
skill-xhs-food-video
description
当用户要做小红书探店、美食或旅游类短视频,或要求参考/总结指定爆款视频、美食博主实拍报告时使用。负责提炼平台审美、爆款结构、实拍方法、镜头节奏、标题标签和内容约束,适合小红书生活方式内容。

Skill · 小红书美食/探店视频研究总结

执行卡

  • 何时读我:用户提到小红书、探店、美食博主、美食视频、旅游 Vlog、爆款视频方法、种草视频,或给出这两份报告路径时。
  • 我负责:把研究报告转成项目可用的 research_brief:结构、时长、钩子、镜头节奏、光线、调色、声音、标题、标签、封面、平台避坑。
  • 我不负责:产出剧本文本、拍摄执行方案、单次生成要求或生成后质检。本文件只输出平台与题材约束,不接管其他产物。
  • 输入:用户需求、平台、时长、题材、是否探店 / 美食 / 旅游,以及可选参考报告。
  • 输出:一份可被主流程消费的研究摘要,写进项目 brief、script notes 或 director_plan 的 research_constraints。
  • 失败回流:如果后续产物没有继承本 skill 的硬要点(前三秒钩子、9:16、节奏、侧逆光、食欲动态、标题标签等),回本层补研究摘要,再回对应阶段重做。

红线速查

红线(出现即错)正解
只说“参考两份报告”,没有提炼可执行约束先输出 research_brief,列清结构、节奏、镜头、声音、调色和发布要点
只读报告前半,没读后半的 AI agent 启示 / 发布要点必须读完整文件;若工具分页,继续从截断行往后读完
探店视频开头自我介绍或慢铺环境前 3 秒必须直接给诱人画面 / 反差问题 / 高能片段
美食视频没有流动瞬间必须有冒热气、拉丝、爆汁、淋酱、夹起、油光、咀嚼声等食欲证据
只有漂亮画面,没有实用闭环探店必须给优缺点、人均/价格、适合人群、行动建议
一镜到底、节奏拖小红书短视频按 1.5-3 秒切换信息点,关键诱惑点可慢动作
没有标题、标签、POI/发布策略同步给标题公式、封面方向、标签组合和 POI 建议

一、两份报告的核心结论

两份报告共同指向同一条原则: 小红书美食/探店视频不是“拍得高级”就够,而是要在短时间里完成:停下 → 馋到 → 相信 → 收藏/行动。

1. 爆款视频拍摄方法研究报告

覆盖探店、美食、旅游三类内容,提炼出跨品类硬规则:

  • 竖屏 9:16 是默认画幅。
  • 前 3 秒必须给钩子,禁止自我介绍、品牌 logo、慢铺环境。
  • 探店控制在 30-60 秒,美食控制在 15-45 秒,旅游 1-3 分钟。
  • 美食/探店首选侧逆光或窗边自然光,突出食物质感和食欲。
  • 镜头节奏为 1.5-3 秒 一个信息点,避免一镜到底。
  • 景别递进:远景 / 门头 → 中景 / 环境 → 近景 / 餐具细节 → 特写 / 食物纹理。
  • 美食必须有动态词和真实物理:冒热气、拉丝、爆汁、淋酱、夹起、油光。
  • 环境原声和 ASMR 很重要,咀嚼、煎炸、倒饮料、餐具碰撞声保留 15%-20%。
  • 发布端必须考虑标题、封面、标签、POI,而不是只产视频。
2. 美食博主视频实拍分析报告

从真实小红书样本反推四种可复用风格:

  • 教程型:15-30 秒,强实用,标题“场景 + 食材 + 口感 + 情绪”,收藏价值高。
  • 治愈型:1.5-2.5 分钟,暖调自然光,完整厨房/店内场景,靠情绪价值和场景舒适感。
  • 沉浸式:约 1 分钟,第一视角,ASMR 环境音为主,文案极简,靠独处/夜宵/仪式感。
  • 颜值型:约 30 秒,高饱和色彩和颜色反差,热门 BGM,标题和标签更密集。

评论区反推用户最在意:

  • 颜色 / 视觉冲击。
  • BGM 和声音记忆。
  • 场景布置是否舒服。
  • 可复制性。
  • 口感描述是否具体。
  • 健康 / 热量 / 价格等实用信息。

二、探店视频默认结构(30-60 秒)

若用户没有另行指定,小红书探店视频默认按四段式:

时间功能必须出现
0-3s黄金钩子最诱人食物特写、拉丝/爆汁/冒热气,或反差问题;不自我介绍
3-15s环境氛围门头、动线、人气、座位、灯光、局部装修;用局部特写代替大段空镜
15-45s核心测评食物三镜头:全景上桌 → 微距细节 → 入口互动;微距细节必须先有关键特写素材,口播用通感比喻
45-60s干货闭环优点、1-2 个小缺点、人均/价格、适合人群、预约/错峰/收藏建议

探店不是纯广告。必须保留轻微主观和小缺点,例如“排队久但值得”“座位少,建议错峰”,这样才可信。


三、镜头和 PE 约束

镜头节奏
  • 每 1.5-3s 必须有新的信息点或景别变化。
  • 可以快切,但不能碎到看不清食物。
  • 关键诱惑点可以慢动作:酱汁落下、夹起拉丝、汤面热气、咬开爆汁、筷子夹起。
  • 食材 / 菜品的微距细节镜头必须走 CU-3:先基于原菜品、原锅 / 原盘、当前状态和所在桌面光线生成食材切面、油脂纹理、酱汁挂边、拉丝、爆汁、热汤表面、烤痕等关键特写素材,再绑定进视频;不能只从上桌全景里硬拉近,也不能凭空生成一张像另一盘菜的微距图。
光线和画面
  • 美食/探店优先侧逆光、窗边自然光、侧前方补光。
  • 避免顶光死黑和影棚白光。
  • 食物多用 45 度角或低角度特写,显立体、显层次。
  • 人物出镜可略高于眼睛俯拍,但不能磨皮成假人。
生活物理(必须和 PHYS-1 对齐)
  • 酱汁会挂边、滴落、拉丝,不能像贴图固定。
  • 热汤 / 热食会冒蒸汽,人物先吹、闻、小口试,不直接大口吞。
  • 大块食物要分口咬断,咀嚼和吞咽需要时间。
  • 杯壁水珠、碗里汤面、油光、高光要随动作变化。
  • 处理方式必须和食物 / 饮品匹配(USE-1):刺身可筷子夹起轻嚼,鳗鱼 / 厚肉要咬断分口,汤羹用勺舀起吹凉小口啜,浓稠饮品用吸管嘬,咖啡 / 小酒可抿,不能所有东西都手拿或一口吞。
声音
  • 环境原声保留 15%-20%:滋滋声、餐具碰撞、咀嚼、倒饮料、店内背景。
  • BGM 服务节奏,开头可卡点,中段降低不抢口播。
  • 沉浸式可以环境音为主,BGM 为辅。

四、标题、封面、标签和发布

标题公式
  • 探店:数字/人群 + 痛点/反差 + 结果
    • 例:打工人午餐!30元吃出日料感,这家藏太深
  • 教程型:场景锚定丨食材 + 口感 + 情绪
  • 治愈型:品牌前缀 + 食物组合 + 饮品
  • 沉浸型:身份 + 风格词 + 做 + 豪华版 + 食物
  • 颜值型:季节 + 品类 + 食材 + 感官词 × 3

标题避免静态地址描述,多用动态方位和结果词:

  • 不够:某某路日料店探店
  • 更好:巷子拐角这家日料,50元吃到发光
封面
  • 单张最具冲击力画面:拉丝、爆汁、冒热气、满桌、入口表情。
  • 大字报短句:会爆浆、劝你错峰来、人均50吃撑。
  • 可用门框、窗框、吧台、锅沿做天然画框。
标签和 POI

默认组合: #城市美食 #城市探店 #细分品类 #具体店名 #沉浸式探店 #美食日常

探店必须给 POI / 地理位置建议;如果成片不发布,也要在交付信息里保留店名、人均、适合人群、预约建议。


五、交给主流程的 research_brief 模板

每次使用本 skill 后,至少输出下面结构,供剧本、编导和 PE 继承:

text
research_brief:
  platform: 小红书
  content_type: 探店 | 美食 | 旅游 | 混合
  aspect_ratio: 9:16
  target_duration: <例如 60s>
  source_reports:
    - 爆款视频拍摄方法研究报告.md: <已读完整 / 核心引用>
    - 美食博主视频实拍分析报告.md: <已读完整 / 核心引用>
  structure:
    - 0-3s: <钩子>
    - 3-15s: <环境氛围>
    - 15-45s: <核心测评>
    - 45-60s: <干货闭环>
  visual_rules:
    - 竖屏9:16
    - 侧逆光 / 窗边自然光
    - 1.5-3s 一个信息点
    - 远景→中景→近景→特写
  food_rules:
    - 冒热气 / 拉丝 / 爆汁 / 淋酱 / 夹起 / 油光
    - USE-1: 按对象写筷子夹 / 勺子舀 / 吸管嘬 / 杯沿喝 / 抿 / 啜 / 咬断 / 咀嚼 / 含化
    - PHYS-1: 热汤先吹,大块分口,液体会晃,酱汁会滴
    - CU-3: 食材切面 / 油脂纹理 / 酱汁挂边 / 拉丝爆汁等微距镜头必须有单独关键特写素材,且特写要继承原菜品、原状态和原场景光线
  audio_rules:
    - 环境原声15%-20%
    - ASMR声:咀嚼/煎炸/倒饮料/餐具碰撞
    - BGM不抢口播
  publishing:
    title_formula: <标题公式>
    cover: <封面画面 + 大字报>
    tags: <标签组合>
    poi: <是否需要>

六、审查清单

交付给主流程前自查:

  • 是否完整读完用户给的报告,而不是只读前半。
  • 是否明确选择探店 / 美食 / 旅游 / 混合类型。
  • 是否保留 0-3s 钩子,且没有自我介绍。
  • 是否有食物动态和生活物理。
  • 是否有环境原声 / ASMR / BGM 策略。
  • 是否有干货闭环:优缺点、人均、适合人群、行动建议。
  • 是否给标题、封面、标签、POI。
  • 是否把 research_brief 写进项目状态源或交给 director_plan 消费。

© wangzai-double-milk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/skill_xhs_food_video of wangzai-double-milk/Vibefilming.

Open the folder on GitHubat commit 7d85f7a

Compare with similar skills

Skill Xhs Food Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Xhs Food Video compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Guizang Social Cardsop7418/guizang-social-card-skill7.4k1 repos~7.8kAutomated safety check: PassAGPL-3.0
Yuwen Publish Precheckyuwen-cool/yuwen-publish-precheck7781 repos~1.8kAutomated safety check: PassMIT
Video Podcast MakerAgents365-ai/video-podcast-maker1.7k—~4.9kAutomated safety check: PassMIT
Xhs Note Creatorcomeonzhj/Auto-Redbook-Skills2.3k—~580Automated safety check: NotesNone

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  • Skill Director

    wangzai-double-milk/Vibefilming

    当已有已定稿剧本或明确内容大纲,需要设计“怎么拍”时使用;也用于修复主线不清、镜头节拍混乱、资产漏项、空间/道具承接错误。负责产出或局部更新 directorplan,不负责写最终生成 prompt、直接生成素材或做审查放行。

    162 GitHub stars~769 tokensUpdated 2 mo ago
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  • Skill Prompt Engineering

    wangzai-double-milk/Vibefilming

    仅在即将调用图片、视频或音乐生成模型时使用。负责把已定稿的 directorplan、剧本文字和终版参考资产编译成“本次调用”的完整生成要求并做调用前自检;不负责重新规划剧情、补发明资产、调用工具或审查生成结果。

    162 GitHub stars~710 tokensUpdated 2 mo ago
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  • Skill Ad

    wangzai-double-milk/Vibefilming

    当视频目标是商业转化或品牌传播时使用,包括广告、信息流投流素材、带货种草、品牌片、TVC、出海口播、产品卖点视频和转化型口播。负责把卖点、人群、钩子、转化路径和平台投放逻辑转成制作约束。

    162 GitHub stars~802 tokensUpdated 2 mo ago
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  • Skill Movie

    wangzai-double-milk/Vibefilming

    当用户要制作完整影视视频,且任务需要从创意到成片跨多个阶段推进时使用,包括影视剧集、短片、预告片、MV 等。负责整体制作流程的总控、阶段推进、关键节点把关和最终交付收口,适合尚未拆解的完整成片任务。

    162 GitHub stars~3.5k tokensUpdated 2 mo ago
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  • Skill Review

    wangzai-double-milk/Vibefilming

    当已经有生成结果,需要判断是否通过、打回或修复时使用,包括图像、故事板、视频段、拼接段和成片。负责生成后质检、问题定位、通过标准、硬伤打回和修复闭环,适合看片、审片、验收和复审场景。

    162 GitHub stars~4.6k tokensUpdated 2 mo ago
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  • Skill Script

    wangzai-double-milk/Vibefilming

    当用户需要创作、改编、审查或定稿可拍剧本文本时使用,包括灵感成稿、小说改编、剧情梳理、人物设计、逐字台词、旁白和去 AI 味。负责把故事内容打磨到能进入拍摄设计的文本状态。

    162 GitHub stars~2.2k tokensUpdated 2 mo ago
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Works with

Questions about Skill Xhs Food Video

What does Skill Xhs Food Video do?

当用户要做小红书探店、美食或旅游类短视频,或要求参考/总结指定爆款视频、美食博主实拍报告时使用。负责提炼平台审美、爆款结构、实拍方法、镜头节奏、标题标签和内容约束,适合小红书生活方式内容。. Skill Xhs Food Video is an agent skill from wangzai-double-milk/Vibefilming.

How do I install Skill Xhs Food Video in Claude Code?

Run `npx skills add wangzai-double-milk/Vibefilming --skill skill-xhs-food-video -a claude-code`. Or copy the skill folder (skills/skill_xhs_food_video in wangzai-double-milk/Vibefilming) into .claude/skills/skill-xhs-food-video in your project. Claude Code loads it when a task matches its description.

How do I install Skill Xhs Food Video in Codex?

Run `npx skills add wangzai-double-milk/Vibefilming --skill skill-xhs-food-video -a codex`. Or copy the skill folder (skills/skill_xhs_food_video in wangzai-double-milk/Vibefilming) into .agents/skills/skill-xhs-food-video in your project. Codex loads it when a task matches its description.

Can I use Skill Xhs Food Video in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wangzai-double-milk/Vibefilming --skill skill-xhs-food-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-xhs-food-video, .gemini/skills/skill-xhs-food-video, .github/skills/skill-xhs-food-video and .opencode/skills/skill-xhs-food-video in your project.

What does Skill Xhs Food Video need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Xhs Food Video is instructions for the agent only.

Does Skill Xhs Food Video access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Xhs Food Video safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Xhs Food Video use?

Skill Xhs Food Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Xhs Food Video use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Xhs Food Video?

Skills that share tags, products or a category with Skill Xhs Food Video: Agent Reach (Panniantong/Agent-Reach, 95k stars), Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Yuwen Publish Precheck (yuwen-cool/yuwen-publish-precheck, 778 stars) and Video Podcast Maker (Agents365-ai/video-podcast-maker, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Xhs Food Video?

wangzai-double-milk (a GitHub user) maintains it in wangzai-double-milk/Vibefilming, which has 162 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on July 21, 2026.

Source: wangzai-double-milk/Vibefilming on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.