MCPInstall

seedance-fashion-lookbook

One person, one look, a handful of places. A head-to-toe appearance lock carries the whole clip, and each scene gets one location, one gesture and one kind of light. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Fashion lookbook and portrait film; 中文触发词: 时尚 lookbook 与人像写真片, 时尚, 穿搭, 人像, 写真), or asks how published cases of this type were prompted. Read references/cases.md before drafting.

Installs
56
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/learnprompt/awesome-seedance --skill seedance-fashion-lookbook
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads seedance-fashion-lookbook automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Fashion lookbook and portrait film · 时尚 lookbook 与人像写真片

One person, one look, a handful of places. A head-to-toe appearance lock carries the whole clip, and each scene gets one location, one gesture and one kind of light.

This Skill carries one prompt structure distilled from 47 human-verified Seedance cases on goodcase.ai. It is a sibling of seedance-prompt-library (all templates in one Skill); install this one when you only want this kind of clip. Do not invent structure from general video-generation knowledge: follow the structure below and ground the draft in one anchor case from references/cases.md.

Use when

  • Fashion campaigns, street-style lookbooks, outfit-change reels, and portrait or beauty pieces where the payload is how someone looks moving through a few settings.
  • 中文:时尚广告大片、街拍 lookbook、换装短片,以及人像和美妆类写真片,有效载荷就是一个人在几个场景里的样子。

Workflow

  1. Collect inputs. Ask only for what is missing: subject or product, setting, duration, aspect ratio, whether reference images / audio exist, and which language the final prompt should be in.
  2. Pick one anchor case. Read references/cases.md, choose the case closest to the request, and name it in the reply. One anchor, never an average of several.
  3. Fill the structure block by block. Every block below must be present in the final prompt; an empty block is where prompts go vague.
    1. Header parameters: aspect ratio, exact duration, the genre stated as fashion campaign, Vogue editorial or cinematic portrait, and the cutting pace
    2. Person and look lock: face, hair, makeup, jewellery, then every garment, shoe and bag named, with a line saying it is identical in every scene
    3. Hero item lock: material, colour, hardware, and how it is carried
    4. Scene chain: each block marked with seconds or a scene number, carrying shot size, place, one action and the light
    5. On-screen type, when wanted, as its own short line under the scene it belongs to
    6. Closing hero beat: everything slows, the camera orbits or pushes onto the item, and the last move tilts up to the face
    7. Visual direction and exclusions: lens, film tone, grain, and no plastic skin, stiff poses or watermarks
  4. Apply the guidance and check the pitfalls (next two sections) before returning anything.
  5. Return the finished prompt as one copy-pasteable block, the anchor case link, and a three-line checklist of what to verify in the generated video.

Guidance (from the cases)

  • Write the outfit head to toe in the opening paragraph, then say it travels. The Paris campaign runs all the way to black pointed-toe heels, babypink smooth leather hobo shoulder bag and closes with hanging naturally on arm throughout all scenes.
  • Give each scene one shot size, one place and one gesture. The Paris case heads a block with Scene 5 · 3 sec Medium close-up, and the only action in it is slowly pushes sunglasses up with one finger.
  • Lock the hero item apart from the person. The Tokyo bag film states One consistent young female fashion model throughout, then locks one identical glossy pastel-pink Prada handbag on its own line.
  • For portrait-style pieces, chain the actions in one long sentence with no shot numbers. The stream walk runs from holding a juicy red watermelon slice near her face straight through to her turning to the camera on a wooden porch.
  • Buy the photographic feel with gear plus an exclusion list. The Paris case names shot on Canon EOS R5 35mm f/1.4, Kodak Portra 400 film tone and rules out plastic skin, robotic movement, stiff poses.

Pitfalls

  • Describing the outfit once in loose terms. Clothes drift between scenes; name every piece and add that it stays identical scene to scene.
  • Packing three actions into a three-second block. One gesture per scene — the Paris case gives each three-second scene a single move.
  • Handing the model a paragraph of on-screen copy. The Tokyo film only ever puts one or two short lines up, like TOKYO or MADE TO BE SEEN; longer type renders garbled, so add it in post.
  • Running slow motion and transition effects the whole way. The Tokyo film pins its montage to hard cuts synchronized to the beat and saves the slowdown for the hero shot.

Language

Reply in the user's language. The prompt itself can stay in English when that is what the user's Seedance workflow expects; ask if unclear. The Chinese version of this structure follows.

中文:时尚 lookbook 与人像写真片

一个人、一身造型、几个地点。一段从头写到脚的外观锁撑起整条片子,每个场景只给一个地点、一个动作、一种光。

结构:

  1. 开头参数:画幅、准确时长、片种写成时尚广告大片、Vogue editorial 或电影感写真,再交代剪辑节奏
  2. 人物与造型锁:脸、发型、妆、首饰,然后每一件衣服鞋包点名,补一句每个场景都一样
  3. 主推单品锁:材质、颜色、五金、怎么拿在身上
  4. 场景链:每段标出秒数或场景号,写景别、地点、一个动作和光线
  5. 要上屏文字的,就在对应场景下面单起一行短句
  6. 收尾英雄镜头:整体慢下来,镜头绕一圈或推到单品上,最后上摇到脸
  7. 视觉方向与排除清单:镜头、胶片色调、颗粒,排掉塑料皮肤、僵硬姿势和水印

要点:

  • 开头一段把造型从头写到脚,再写明它全程跟着走。巴黎街拍那条一路列到 black pointed-toe heels, babypink smooth leather hobo shoulder bag,末尾补一句 hanging naturally on arm throughout all scenes。
  • 每个场景只给一个景别、一个地点、一个动作。巴黎那条的小标题是 Scene 5 · 3 sec Medium close-up,这一段里唯一的动作是 slowly pushes sunglasses up with one finger。
  • 主推单品和人分开锁。东京手袋那条先写 One consistent young female fashion model throughout,再单独一行锁住 one identical glossy pastel-pink Prada handbag。
  • 人像写真式的就用一个长句把动作串起来,不标镜号。溪畔那条从 holding a juicy red watermelon slice near her face 一路接到她在木门廊上回头对镜头笑。
  • 照片质感靠器材加排除清单换。巴黎那条点名 shot on Canon EOS R5 35mm f/1.4, Kodak Portra 400 film tone,再排掉 plastic skin, robotic movement, stiff poses。

常见坑:

  • 造型只用一句好看的衣服带过。场景一换衣服就变,每件单品都点名,并补一句每个场景都一样。
  • 三秒的一段里塞三个动作。一个场景一个动作,巴黎那条每格三秒只做一件事。
  • 把整段文案交给模型上屏。东京那条上屏的只有 TOKYO、MADE TO BE SEEN 这种一两行短句,长段文字排出来会糊,留到后期加。
  • 全程慢动作加转场特效。东京那条的快剪段写死 hard cuts synchronized to the beat,慢只留给最后的英雄镜头。

Copy-ready lead-in / 可复制引导语

For users who would rather paste into a chat model than run this Skill, hand them this line above the structure:

I want a fashion lookbook clip. [The model is an Asian woman with short hair, walking through a plane-tree neighbourhood in Shanghai in autumn.] [The hero pieces are an oatmeal trench coat and a brown leather tote.] Using the prompt template below, rewrite it into one ready-to-use Seedance video prompt for me:

我要做一条时尚 lookbook 短片,【模特是一个短发的亚洲女生,走在秋天的上海梧桐街区】,【主推单品是一件燕麦色长风衣配棕色皮质托特包】。请根据下面这个提示语模板,帮我改写成一条可以直接用的 Seedance 视频提示语:

Notes

  • references/cases.md is generated from data/ in LearnPrompt/awesome-seedance and refreshed daily; do not hand-edit an installed copy.
  • Prompts in the reference file belong to their creators (linked on every card). Transfer the structure; do not present a close copy as original work.
  • For the full library across every model, install the goodcase Skill from LearnPrompt/goodcase-lite.

FAQ

What does the seedance-fashion-lookbook skill do?

One person, one look, a handful of places. A head-to-toe appearance lock carries the whole clip, and each scene gets one location, one gesture and one kind of light. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Fashion lookbook and portrait film; 中文触发词: 时尚 lookbook 与人像写真片, 时尚, 穿搭, 人像, 写真), or asks how published cases of this type were prompted. Read references/cases.md before drafting.

How do I install seedance-fashion-lookbook?

Run npx skills add https://github.com/learnprompt/awesome-seedance --skill seedance-fashion-lookbook in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/seedance-fashion-lookbook/ (personal) or .claude/skills/seedance-fashion-lookbook/ (project).

Which AI agents can use seedance-fashion-lookbook?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is seedance-fashion-lookbook safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains seedance-fashion-lookbook?

It is published by learnprompt in learnprompt/awesome-seedance. It has 56 recorded installs.

More from learnprompt/awesome-seedance

View all →

seedance-prompt-library

learnprompt/awesome-seedance

Open the skill to read its SKILL.md instructions.

AI & Agents82 installs

seedance-storyboard-grid-to-video

learnprompt/awesome-seedance

Two stages: first a single-page sheet of numbered panels from an image model, then that sheet fed to Seedance as the reference. The sheet owns order, framing and timing, and the video prompt only has to connect the panels. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Storyboard grid to video; 中文触发词: 分镜网格转视频, 分镜图, 九宫格, 故事板), or asks how published cases of this type were prompted. Read references/cases.md before drafting.

Media & Creative67 installs

seedance-production-workflow

learnprompt/awesome-seedance

Plan and carry a Seedance video from brief through references, storyboard, generation handoff, shot-level review, and targeted repair. Use for an end-to-end Seedance production request; use a narrower prompt skill for a single prompt.

seedance-meme-comedy

learnprompt/awesome-seedance

A short skit where every beat is laid down to serve one punchline. The joke has to land on something visible, and the absurdity only works when the camera and the physics stay dead serious. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Twist-ending comedy skit; 中文触发词: 反转结尾搞笑短片, 搞笑, 反转, 梗, 沙雕), or asks how published cases of this type were prompted. Read references/cases.md before drafting.

AI & Agents62 installs

seedance-3d-cartoon

learnprompt/awesome-seedance

Open the skill to read its SKILL.md instructions.

Media & Creative59 installs

seedance-pet-animal

learnprompt/awesome-seedance

The animal is the lead and a phone is the only camera. Lock the count to exactly one, keep the animal behaving like an animal, and let the payoff come from it closing in on the lens. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Pets and animals as the lead; 中文触发词: 宠物动物当主角, 宠物, 猫, 狗, 动物), or asks how published cases of this type were prompted. Read references/cases.md before drafting.

AI & Agents56 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs