Agent skill

Vibe Creating Prompt

by Alisa0808 in Alisa0808/vibe-creating-skill

Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into…

MITAuto-check passedMedia & Creative

Install Vibe Creating Prompt

skills CLI
$ npx skills add Alisa0808/vibe-creating-skill --skill vibe-creating-prompt -a claude-code

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

GitHub CLI
$ gh skill install Alisa0808/vibe-creating-skill vibe-creating-prompt --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/Alisa0808/vibe-creating-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vibe-creating-prompt .claude/skills/vibe-creating-prompt && 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
vibe-creating-prompt
GitHub stars
148
Token cost
~4.1k tokens
SKILL.md length
2,148 words
Files
2
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into…

  • Works in 3 steps: Judge whether it suits Vibe Creating… → Decide the most appropriate handling… → Only ask for what's missing. Request the…
  • A user wants to turn an idea
  • SKILL.md covers Overview, Quick Start, Decision Framework — Scenario… and Interaction Policy, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vibe Creating Prompt is an agent skill from Alisa0808/vibe-creating-skill. Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover, music, sound effects, and other hard constraints. Use when a user wants to turn an idea, story, feeling, or rough/over-specified prompt into a strong text-to-video prompt (Seedance, Sora, Kling, Veo…

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `SKILL.zh.md`).

It sits in Media & Creative, covering AI video generation. It works with Seedance. The repository describes itself as: Open-source, bilingual AI video-prompt skill — rewrite ideas into model-ready text-to-video prompts. A portable Agent Skill (Claude Code, Codex, OpenClaw, Hermes); generate via… The licence is MIT.

When your agent uses it

  • A user wants to turn an idea
  • Rough/over-specified prompt into a strong text-to-video prompt (Seedance
  • Asks to rewrite
  • Vibe-ify a video prompt

Example prompts

  • “rewrite”
  • “improve”
  • “clean up”
  • “/vibe-creating-prompt”

Workflow steps

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

  1. Judge whether it suits Vibe Creating (VC). Is this a scene best expressed through story, emotion, memory, atmosphere, imagery, or…
  2. Decide the most appropriate handling right now. Pass it through, lightly clean it up, rewrite it directly, ask a clarifying question…
  3. Only ask for what's missing. Request the minimum information needed to complete the chosen action. Never interrogate the user just to…

What it can do on your machine

Read from SKILL.md and the folder at commit a599301. 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):

    • atlascloud.ai

    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

Vibe Creating Prompt loads about 4.1k tokens when it runs. Until then it costs about 203 tokens; SKILL.md has 2,148 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~203
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

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 Alisa0808/vibe-creating-skill at commit a599301, republished under its MIT licence (© Alisa0808). 2,148 words, ~4,066 tokens.

Download SKILL.mdSave it as .claude/skills/vibe-creating-prompt/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
vibe-creating-prompt
description
Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover, music, sound effects, and other hard constraints. Use when a user wants to turn an idea, story, feeling, or rough/over-specified prompt into a strong text-to-video prompt (Seedance, Sora, Kling, Veo, Runway, etc.), or asks to "rewrite", "improve", "clean up", or "vibe-ify" a video prompt. Do NOT use for long narrative films that need precise word-for-word dialogue sync, industrial shot lists meant to be executed verbatim, or functional/UI demos and step-by-step tutorials.
license
MIT

Vibe Creating Prompt Skill

Overview

Vibe Creating distills what the user actually wants to express so the model can lock onto the visual center, the emotional direction, and the continuity of the experience. It amplifies creative intent, emotional value, key imagery, and visual coherence; it down-weights low-value technical parameters and mechanical execution language.

This skill is a judgment-first rewriter. It does not blindly shorten or "vibe-ify" everything. It first asks whether the input even belongs in the Vibe Creating lane, then chooses the lightest action that serves the user's intent.

Quick Start

When you receive an input, run three steps:

  1. Judge whether it suits Vibe Creating (VC). Is this a scene best expressed through story, emotion, memory, atmosphere, imagery, or experience flow — rather than precise execution?
  2. Decide the most appropriate handling right now. Pass it through, lightly clean it up, rewrite it directly, ask a clarifying question first, keep it as-is, or offer an optional VC version.
  3. Only ask for what's missing. Request the minimum information needed to complete the chosen action. Never interrogate the user just to satisfy your own classification.

Do not expose internal labels (S1, E2, "Mode 5", etc.) to the user. Judge internally; communicate plainly.

Decision Framework — Scenario × Expression × Information

Decide along three axes. First Scenario (S) — does the underlying creative goal suit VC. Then Expression (E) — what form is the user's text already in, which sets how much to touch. Information density (I) runs in parallel as a stability check: whenever a must-have is missing, ask first, then route.

Scenario fit (S)
  • S1 — VC-native. Story, emotion, memory, atmosphere, imagery, experience flow. VC clearly helps.
  • S2 — Partially VC-suited. Brand/product/character showcases, stylized ads. VC may help, but is optional.
  • S3 — Low VC fit. UI demos, tutorials, step-by-step instructions, strict dialogue-synced long-form. The goal or workflow doesn't match VC.
Expression form (E)
  • E1 — Close to VC already. Reads like a vivid scene/story.
  • E2 — Mixed. Creative content interleaved with execution language.
  • E3 — Precision-control writing. Shot numbers, focal lengths, movement parameters, timecodes.
Routing matrix (default action per cell)
E1 — close to VCE2 — mixedE3 — precision control
S1 — VC-nativeDirect rewrite; if already polished → light cleanup or pass-throughLight cleanup, then rewrite — keep valid structure, order, emotional buildTreat as VC-translatable; strip low-value technical control, convert to natural visual description. Don't reject just because it's written as an execution script
S2 — partialLight cleanup; if already usable → pass-throughOffer an optional VC version; let the user chooseKeep the original intent; gently note a VC rewrite is available on request
S3 — low fitStay close to the original; keep as-is if neededKeep as-is or do very limited cleanup; only stylize on explicit requestKeep as-is; explain this fits a traditional shot-list workflow better than VC
Four hard routing rules
  • Missing info wins. However well a scenario fits, if the visual anchor, main action, or style direction is missing, ask before writing.
  • User hard constraints win. If the user explicitly asks to keep dialogue, music, shot numbers, parameters, paragraph structure, or a delivery format, do not delete them. A VC version is an extra version, or offered only after the user agrees.
  • Multi-shot keeps its structure. When the user is already expressing one unified experience across shot paragraphs, don't flatten it into a single block of prose — but don't default to numbered output either unless they asked for numbers or lists.
  • Precision-control writing ≠ low-fit scenario. Look at the goal first, then decide whether to translate. An execution-style script can still describe a deeply VC-suited scene.
Information-density check (I)

Even a VC-perfect scenario can't be force-rewritten when a key element is missing. Ask first when: there's no clear visual anchor; only an abstract feeling with no subject/object/scene; a subject but no action or state; fragments with no main relationship or style direction; an ultra-short input that has a subject and event but no clear style/viewing-mode/key moment; or multi-shot content with jumps you can't see a reason for.

A strong VC prompt prioritizes these four layers. Fill whichever is missing first — don't mechanically demand all four:

  1. Visual anchor — the thing that most deserves to be seen (a person / object / named concept / the VFX subject itself).
  2. Action or state — what's happening (one action, state, or beat — just one).
  3. Local tonality — how this moment feels (one mood word or adjective: backlit warm amber, slight handheld sway…).
  4. Video theme — where the clip is used + its visual style.
    • Use case: concept short, micro-narrative, film pre-viz, emotional piece, knowledge/physics restoration, VFX fragment…
    • Visual style: photorealistic, cinematic, animation, claymation, Eastern ink-wash, cyberpunk, illustrated…

Asking principle: the density check is not a separate gate — it runs alongside S and E. Ask for the minimum needed to land the chosen action, usually in one round. For ultra-short, abstract, single-image inputs, prioritize turning the abstract word into the visible information a frame needs; if the direction is already mostly clear, give a first pass and ask about only the most critical 1–3 gaps.

Interaction Policy

Internally complete the three judgments (S / E / I) — preliminary judgments are fine when info is short. Then choose an action:

pass-through · light cleanup · direct rewrite · ask first · keep as-is · optional VC version

Handling principles:

  • VC-suited but missing info → ask for the minimum needed for the current action.
  • When the input already has a clear subject, structure, time relationship, core imagery, and a clear emotional goal — and the text is already strongly generation-ready — default to pass-through. Only do light cleanup if clarity needs a nudge; don't proactively rewrite.
  • VC-suited but containing undeclared precision controls → you may down-weight, delete, or translate them by default; if you did, you must say so and tell the user they can ask to keep specific ones.
  • Partially-suited scenarios → don't push VC; preserve the original or offer an optional VC version.
  • Low-fit scenarios → explain it's a goal/workflow mismatch, not a rejection of the user's idea.
  • User-specified dialogue, voiceover, music, SFX, structure, and parameters always take priority.

Camera Language Policy

Camera language should not be deleted wholesale. What to remove is the low-value "tell the system how to shoot" technical parameters. What to preserve or translate is the "how should the viewer feel" intent.

Demote or delete by default:

  • Focal lengths / mm numbers
  • Camera-position jargon
  • Movement parameters (speed multipliers, exact dolly distances)
  • Shot numbers
  • Depth of field, aperture, exposure, shutter
  • Equipment notes, A/B cam, coverage
  • Pure editing instructions

Translate intent instead of dropping it — e.g. "slow dolly-in" → "the gaze slowly closes in, building a sense of pressure."

When the user explicitly asks to keep parameters: obey the constraint first, then decide whether to additionally offer a VC version.

When it's undeclared whether to keep precision control:

  • Don't treat technical control as a must-keep item.
  • Default to the more generation-friendly VC creative version.
  • Preserve whatever contributes to emotion, narrative, or viewing experience.
  • For purely technical camera control, delete it or translate it into a natural result.
  • Don't interrupt to confirm first — but if you weakened, deleted, or translated technical control, say so briefly in the output. If the user wants certain parameters/structure/rhythm beats kept, they can say so and you provide a constraint-preserving version.

Sound & Constraint Priority

Dialogue, voiceover, music, SFX, lyrics, narration, and other explicitly specified sound content rank above creative optimization. You may reorder them, but you must not reword them, replace them, or delete a user's explicit sound requirement.

When rules conflict, resolve in this order:

  1. User-explicit content & hard constraints — dialogue, VO, music, SFX, shot structure, parameter-keep requests, format requirements, style limits.
  2. Creative optimization — distill story, emotion, memory, imagery, and a unified experience without breaking constraints.
  3. VC paradigm consistency — only after the first two are satisfied, tighten the language further for model readability.

Supplementary rules:

  • Dialogue/VO/music/SFX the user wrote out → keep verbatim.
  • Visual and sound requirements written together → you may reorder, but never alter the sound content itself.
  • If the visuals suit VC but the sound doesn't → rewrite only the visual part.
  • If the whole thing only stands up with long, strict, word-level dialogue sync → default to not doing a VC rewrite.
Show full SKILL.md (808 more words)Show less

Rewrite Modes

VC rewriting is not one template. Pick the mode by the input's dominant factor:

  • Narrative — for story-, relationship-, or event-driven input. Output one continuous prompt, or keep 2–5 scene segments. Preserve event order and emotional turns.
  • Emotional — for atmosphere-, feeling-, or state-driven input. Concentrate on environment, rhythm, texture, and viewing experience. Don't force a causal chain just to "look like a story."
  • Memory — for recollection, flashback, faded-time, vanishing, or rediscovered fragments. Keep the blur, the washed-out quality, the fragility; amplify recurring imagery and the sense of time slipping.
  • Stream-of-consciousness — for association, fragments, subjective perception, non-linear expression. Incompleteness is allowed, but the frame must stay perceivable, with internal coherence across images.
  • Multi-shot experience — for multi-segment, multi-scene, multi-cut input that serves one shared experience. Break by natural segments (or by number only if the user asked). 1–3 sentences each; keep scene flow, emotional progression, and visual motifs; drop low-value execution terms.
  • Mixed purification — for creative content tangled with execution language. Keep the original structure and valid information; remove only technical noise, repetition, and low-value control. Don't over-rewrite or invent new beats.

Output Rules

The goal is to help the user express more accurately — not to rewrite their work into a different film.

Length & form
  • Don't make the output meaningfully longer than the input; don't balloon an ultra-short input into long prose.
  • Add nothing without basis — never invent new character relationships, plot twists, scene details, or emotional changes.
  • For single-segment output, tighten to one directly usable prompt.
  • Structure ≠ numbering. Shot numbers / list formatting in the input do not by themselves mean "keep the numbering." Only keep numbered output when the user explicitly asks to keep shot numbers, segment numbers, list format, or a delivery structure; otherwise present multi-segment content as natural paragraphs.
  • With enough info and no extra constraints, a single shot/segment is usually ~30–120 words; loosen this to preserve structure, dialogue, or multi-segment progression.
  • When the user explicitly asks to keep the original structure, preserve structure over brevity.
User-visible format
  • Never expose internal labels like S1 + E2 or Mode 5.
  • Default to a four-part output, fixed order: Judgment / Action / Result / Notes (if any).
    • Judgment — briefly: does it suit VC, is the original already usable, is the info sufficient.
    • Action — explicitly use one label: pass-through / light cleanup / direct rewrite / ask first / keep as-is / optional VC version.
    • Result — the actual rewrite, the kept-as-is text, or the clarifying question(s).
    • Notes (if any) — what technical control you weakened/deleted/translated; which hard constraints (dialogue, VO, music, SFX) you preserved; or a hint that parameters/structure/rhythm can be kept on request.
  • Keep output natural, concise, and fitted to the user's original task context.
  • Omit the fourth part when there's nothing to note.

Quick Reference

Input typeJudge firstAsk what's missingDefault actionOutput style
Single scene with clear subject, action, moodLikely suits VC; check if already focused enoughOnly if style, visual center, or main state is missingDirect rewrite, light cleanup, or pass-throughOne ready-to-generate prompt
Multi-shot narrative serving one unified experienceSuits VC; check the emotion / theme / memory line is coherentIf shot-to-shot relationship or progression is unclearRewrite keeping structure; group if neededSegmented, or keep original structure
Heavy shot numbers/params, but underlying emotion/story sceneVC-translatable; don't reject for execution styleIf the main experience/action/relationship is unclearDe-noise and translate, keep narrative & emotional intentStrip params, convert to natural visual description
Brand showcase, character showcase, stylized adPartial VC fit; rewrite not mandatoryIf the emotional goal or style direction is unclearLight cleanup or optional VC versionKeep intent; offer a more experiential version if useful
Only abstract words ("freedom", "premium", "powerful")Insufficient info; don't force a rewriteVisual anchor, scene, action, or stateAsk first; don't rewrite blindPose 1–3 short questions
Visuals already include dialogue / VO / music / SFXPartially VC; sound content has priorityOnly if the visual part is under-specifiedKeep sound content; rewrite visuals onlyNote "sound kept unchanged" up front
User explicitly wants shot numbers / params / delivery structure keptConstraints win; don't deleteUsually no need to askKeep as-is, or add an optional VC versionNote "kept as the execution draft"
Functional demo, UI tutorial, step instructionsLow fit; the goal isn't creative translationUsually no VC questionsKeep as-is; suggest splitting if usefulExplain VC isn't recommended
Long-form story requiring exact dialogue syncLow fit; capability/workflow boundaryUsually no VC questionsNo VC rewrite; suggest splitting visual segmentsExplain pure-visual parts can be split out
Mixed-language creative input with some jargonIf the underlying experience is clear, still suits VCOnly if subject, relationship, or style is unclearTranslate jargon, keep core vibeOutput a natural visual description in the target language

Generating the result: this skill only writes the prompt. To render it, send the rewritten prompt to any text-to-video model (Seedance, Sora, Kling, Veo, …) — for a one-API option, see Atlas Cloud.

© Alisa0808, 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 in skills/vibe-creating-prompt of Alisa0808/vibe-creating-skill.

  • SKILL.md
  • SKILL.zh.md

Open the folder on GitHubat commit a599301

Compare with similar skills

Vibe Creating Prompt 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.

Vibe Creating Prompt compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vibe Creating Prompt this skillAlisa0808/vibe-creating-skill148—~4.1kAutomated 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

Questions about Vibe Creating Prompt

What does Vibe Creating Prompt do?

Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into…. Vibe Creating Prompt is an agent skill from Alisa0808/vibe-creating-skill. Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover, music, sound effects, and other hard constraints.

When should I use Vibe Creating Prompt?

Vibe Creating Prompt fits situations like: A user wants to turn an idea; rough/over-specified prompt into a strong text-to-video prompt (Seedance; asks to rewrite; vibe-ify a video prompt.

How do I install Vibe Creating Prompt in Claude Code?

Run `npx skills add Alisa0808/vibe-creating-skill --skill vibe-creating-prompt -a claude-code`. Or copy the skill folder (skills/vibe-creating-prompt in Alisa0808/vibe-creating-skill) into .claude/skills/vibe-creating-prompt in your project. Claude Code loads it when a task matches its description.

How do I install Vibe Creating Prompt in Codex?

Run `npx skills add Alisa0808/vibe-creating-skill --skill vibe-creating-prompt -a codex`. Or copy the skill folder (skills/vibe-creating-prompt in Alisa0808/vibe-creating-skill) into .agents/skills/vibe-creating-prompt in your project. Codex loads it when a task matches its description.

Can I use Vibe Creating Prompt 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 Alisa0808/vibe-creating-skill --skill vibe-creating-prompt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vibe-creating-prompt, .gemini/skills/vibe-creating-prompt, .github/skills/vibe-creating-prompt and .opencode/skills/vibe-creating-prompt in your project.

What does Vibe Creating Prompt need to run?

SKILL.md names no scripts, command-line tools or credentials: Vibe Creating Prompt is instructions for the agent only.

Does Vibe Creating Prompt access the network?

SKILL.md names 1 domain. As links in the text: atlascloud.ai. This is read from the text; nothing was executed.

Is Vibe Creating Prompt 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 Vibe Creating Prompt use?

Vibe Creating Prompt is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vibe Creating Prompt use?

About 4.1k tokens (SKILL.md is roughly 16k 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 Vibe Creating Prompt?

Skills that share tags, products or a category with Vibe Creating Prompt: 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 Vibe Creating Prompt?

Alisa0808 (a GitHub user) maintains it in Alisa0808/vibe-creating-skill, which has 148 GitHub stars. The repository was last updated on June 17, 2026.

Source: Alisa0808/vibe-creating-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.