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Agent skill

Seedance Travel City Walk

by LearnPrompt in LearnPrompt/awesome-seedance

One traveller moves through a place scene by scene, each scene carrying its own timecode, its own location and one short line.

MITAuto-check passedMedia & Creative

Install Seedance Travel City Walk

skills CLI
$ npx skills add LearnPrompt/awesome-seedance --skill seedance-travel-city-walk -a claude-code

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

GitHub CLI
$ gh skill install LearnPrompt/awesome-seedance seedance-travel-city-walk --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/LearnPrompt/awesome-seedance.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agents/skills/seedance-travel-city-walk .claude/skills/seedance-travel-city-walk && 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
seedance-travel-city-walk
GitHub stars
1.9k
Token cost
~1.7k tokens
SKILL.md length
908 words
Files
2 (incl. references)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

One traveller moves through a place scene by scene, each scene carrying its own timecode, its own location and one short line.

  • Works in 5 steps: Collect inputs. Ask only for what is… → Pick one anchor case. Read… → Fill the structure block by block. Every… → …
  • The user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cinematic travel vlog montage
  • SKILL.md covers Use when, Workflow, Guidance (from the cases) and Pitfalls, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Seedance Travel City Walk is an agent skill from LearnPrompt/awesome-seedance. One traveller moves through a place scene by scene, each scene carrying its own timecode, its own location and one short line. The polish is bought with film grain and golden-hour light. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cinematic travel vlog montage; 中文触发词: 电影感旅行漫游, 旅拍, 城市漫游, 旅行), or asks how published cases of this type were prompted. Read references/cases.md before drafting.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/cases.md`).

It sits in Media & Creative, covering AI video generation. It works with Seedance. The repository describes itself as: 🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 600+ cases traced to original posts, 260+ cross-model retest runs with public verdicts, 25 copy-ready templates, 50+… The licence is MIT.

When your agent uses it

  • The user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cinematic travel vlog montage
  • Asks how published cases of this type were prompted

Example prompts

  • “/seedance-travel-city-walk”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Collect inputs. Ask only for what is missing: subject or product, setting, duration, aspect ratio, whether reference images / audio exist…
  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…
  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.
  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…

What it can do on your machine

Read from SKILL.md and the folder at commit 6ce4592. 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

    Links to these hosts (documentation or services it may open):

    • goodcase.ai
    • github.com

    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

Seedance Travel City Walk loads about 1.7k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 908 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~113
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.2k

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 LearnPrompt/awesome-seedance at commit 6ce4592, republished under its MIT licence (© LearnPrompt). 908 words, ~1,746 tokens.

Download SKILL.mdSave it as .claude/skills/seedance-travel-city-walk/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
seedance-travel-city-walk
description
One traveller moves through a place scene by scene, each scene carrying its own timecode, its own location and one short line. The polish is bought with film grain and golden-hour light. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cinematic travel vlog montage; 中文触发词: 电影感旅行漫游, 旅拍, 城市漫游, 旅行), or asks how published cases of this type were prompted. Read references/cases.md before drafting.

Cinematic travel vlog montage · 电影感旅行漫游

One traveller moves through a place scene by scene, each scene carrying its own timecode, its own location and one short line. The polish is bought with film grain and golden-hour light.

This Skill carries one prompt structure distilled from 21 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

  • Destination diaries, city walks, hikes, camping trips and departure sequences where one traveller has to stay the same person across six or eight locations.
  • 中文：目的地日记、城市漫游、徒步、露营、出发启程这类片子：一个旅行者要在六到八个地点里保持是同一个人。

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. Opening line: runtime, aspect ratio, the format named as a cinematic travel vlog, and who the traveller is
    2. Look block written as parameters: film stock, grain, colour grading, depth of field, frame rate, handheld feel
    3. One-sentence consistency lock covering hair, makeup, outfit and expression across every scene
    4. Scene blocks by timecode, each headed with a location name: arrival, a landscape wide, an activity beat, a food or slow-living beat
    5. Spoken lines written inside the scene where they are said, one short sentence each
    6. Closing scene at golden hour or at night, ending with her looking into the lens and signing off
    7. Tail: voice and lip-sync requirements, then the exclusions for text, logo and watermark
  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)

  • Head every scene with both a timecode and a place name. The Bali diary writes Scene 3 (8-12s) — Rice Terrace & Jungle Moments, and each block holds one location, one action and one camera move.
  • Put the cinematic feel in a parameter list, not in adjectives. The Bali diary states 4K cinematic video, 24fps, 35mm film grain, realistic handheld camera and adds warm vintage grading.
  • Keep the lines short and tied to what just happened. Bali uses Don't film this part — actually, keep filming it. after she wobbles on the board, and closes on Goodnight from Bali.
  • Lock the gear as well as the person. The Korean camping case writes Maintain the same woman, outfit, SUV, tent, campsite, and equipment throughout, so the car and tent cannot redesign themselves halfway.
  • When the trip involves real physical work, spell out the mechanics. The camping case asks for realistic tent fabric, flexible poles, stakes and bans instant tent setup.
Show full SKILL.md (383 more words)Show less

Pitfalls

  • Packing eight scenes into thirty seconds and giving every one of them a line. The Bali diary runs eight scenes and only four of them speak.
  • Naming the location and leaving the camera to the model. Each scene needs its own move, written like Camera trails her from behind, then swings into a close-up.
  • Mixing in cheap phone-footage words such as shaky phone video or low quality. The handheld here sits on top of film grain and shallow depth of field, and image quality has to stay up.
  • Turning the film into a string of empty landscape shots. Give every scene a concrete action: Bali has her walking barefoot at the tideline and drinking coconut water through a paper straw.

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：电影感旅行漫游

一个人按场次走过一个地方，每场有自己的时间码、自己的地点和一句短台词。质感靠胶片颗粒和黄金时刻的光撑起来，手机瑕疵那套在这里用不上。

结构:

  1. 开场一句：时长、画幅、片种写成 cinematic travel vlog，以及这个旅行者是谁
  2. 质感段写成参数表：胶片、颗粒、调色、景深、帧率、手持感
  3. 一句话的一致性锁，管住发型、妆、服装和表情，覆盖每一场
  4. 按时间码分场，每场带一个地点名：抵达、一场风光大景、一场活动、一场吃东西或者慢下来的戏
  5. 台词写进它被说出的那一场里，一场一句短的
  6. 收尾放在黄金时刻或者夜里，最后她看着镜头道别
  7. 结尾：人声和口型要求，再排除上屏文字、logo 和水印

要点:

  • 每一场的标题同时给时间码和地点。巴厘岛那条写成 Scene 3 (8-12s) — Rice Terrace & Jungle Moments，一个段落就管一个地点、一个动作、一个运镜。
  • 电影感写成参数表，别堆形容词。巴厘岛那条直接写 4K cinematic video, 24fps, 35mm film grain, realistic handheld camera，再补暖色复古调。
  • 台词短，而且贴着刚发生的事。巴厘岛在她划板失衡之后说 Don't film this part — actually, keep filming it.，全片收在 Goodnight from Bali.
  • 装备和人一起锁。韩国露营那条写 Maintain the same woman, outfit, SUV, tent, campsite, and equipment throughout，车和帐篷就不会中途换样。
  • 旅程里有真体力活的时候，把机械过程写出来。露营那条要求 realistic tent fabric, flexible poles, stakes，并禁掉 instant tent setup。

常见坑:

  • 三十秒排八场，还场场都说话。巴厘岛那条八场里只有四场有台词。
  • 只写去了哪里，运镜丢给模型。每一场都得给自己的镜头动作，写成 Camera trails her from behind, then swings into a close-up 这样。
  • 混进廉价手机瑕疵词，比如 shaky phone video、low quality。这里的手持是架在胶片颗粒和浅景深上的，画质得往上走。
  • 整条拍成一串没有人的风光空镜。每场给一个具体动作，巴厘岛那条是赤脚走过潮线、用纸吸管喝椰子水。

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 cinematic travel vlog montage. [The destination is Kyoto in November, at the peak of the autumn leaves.] [On camera: a young woman with a backpack, walking from an early-morning alley to the riverbank at dusk.] Using the prompt template below, rewrite it into one ready-to-use Seedance video prompt for me:

我要做一条电影感旅行漫游视频，【目的地是京都，时间是十一月红叶季】，【出镜的是一个背双肩包的女生，从清晨的巷子一路走到傍晚的河边】。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.

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

Files

SKILL.md and 1 other file (references) in agents/skills/seedance-travel-city-walk of LearnPrompt/awesome-seedance.

  • SKILL.md
  • references/cases.md

Open the folder on GitHubat commit 6ce4592

Compare with similar skills

Seedance Travel City Walk 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.

Seedance Travel City Walk compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Seedance Travel City Walk this skillLearnPrompt/awesome-seedance1.9k—~1.7kAutomated safety check: PassMIT
Seedancesongguoxs/seedance-prompt-skill2.9k1 repos~2.5kAutomated safety check: PassNone
SN Motion HTMLOpenSenseNova/SenseNova-Skills5.7k—~2.2kAutomated safety check: NotesMIT
Seedance Prompt Endexhunter/seedance2-skill4.2k—~3.8kAutomated safety check: PassMIT
Seedance Japanese Prompt ExamplesEmily2040/seedance-2.07.6k1 repos~898Automated safety check: PassMIT
Seedance 2 5 Video Directorliyue-aigc/seedance-2-5-video-director599—~3.5kAutomated safety check: PassMIT

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Works with

Categories

Questions about Seedance Travel City Walk

What does Seedance Travel City Walk do?

One traveller moves through a place scene by scene, each scene carrying its own timecode, its own location and one short line. Seedance Travel City Walk is an agent skill from LearnPrompt/awesome-seedance. One traveller moves through a place scene by scene, each scene carrying its own timecode, its own location and one short line.

When should I use Seedance Travel City Walk?

Seedance Travel City Walk fits situations like: the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cinematic travel vlog montage; asks how published cases of this type were prompted.

How do I install Seedance Travel City Walk in Claude Code?

Run `npx skills add LearnPrompt/awesome-seedance --skill seedance-travel-city-walk -a claude-code`. Or copy the skill folder (agents/skills/seedance-travel-city-walk in LearnPrompt/awesome-seedance) into .claude/skills/seedance-travel-city-walk in your project. Claude Code loads it when a task matches its description.

How do I install Seedance Travel City Walk in Codex?

Run `npx skills add LearnPrompt/awesome-seedance --skill seedance-travel-city-walk -a codex`. Or copy the skill folder (agents/skills/seedance-travel-city-walk in LearnPrompt/awesome-seedance) into .agents/skills/seedance-travel-city-walk in your project. Codex loads it when a task matches its description.

Can I use Seedance Travel City Walk 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 LearnPrompt/awesome-seedance --skill seedance-travel-city-walk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seedance-travel-city-walk, .gemini/skills/seedance-travel-city-walk, .github/skills/seedance-travel-city-walk and .opencode/skills/seedance-travel-city-walk in your project.

What does Seedance Travel City Walk need to run?

SKILL.md names no scripts, command-line tools or credentials: Seedance Travel City Walk is instructions for the agent only.

Does Seedance Travel City Walk access the network?

SKILL.md names 2 domains. As links in the text: goodcase.ai and github.com. This is read from the text; nothing was executed.

Is Seedance Travel City Walk 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 Seedance Travel City Walk use?

Seedance Travel City Walk 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 Seedance Travel City Walk use?

About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.4k tokens, read only when the agent opens those files.

What are the alternatives to Seedance Travel City Walk?

Skills that share tags, products or a category with Seedance Travel City Walk: Seedance (songguoxs/seedance-prompt-skill, 2.9k stars), SN Motion HTML (OpenSenseNova/SenseNova-Skills, 5.7k stars), Seedance Prompt En (dexhunter/seedance2-skill, 4.2k stars) and Seedance Japanese Prompt Examples (Emily2040/seedance-2.0, 7.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Seedance Travel City Walk?

LearnPrompt (a GitHub user) maintains it in LearnPrompt/awesome-seedance, which has 1,911 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 9, 2026.

Source: LearnPrompt/awesome-seedance on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.