vibe-creating-prompt
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…
Skill by Alisa0808
Chalk Labs
Need help deploying vibe-creating-prompt?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/alisa0808-vibe-creating-prompt
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: documents, design, writing, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/vibe-creating-prompt
What's inside
- Skill 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
- Instructions
- 177 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- SKILL.zh.md
SKILL.md (first lines)
# 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 VC** | **E2 — mixed** | **E3 — precision control** | |---|---|---|---| | **S1 — VC-native** | Direct rewrite; if already polished → light cleanup or pass-through | Light cleanup, then rewrite — keep valid structure, order, emotional build | Treat 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 — partial** | Light cleanup; if already usable → pass-through | Offer an *optional* VC version; let the user choose | Keep the original intent; gently note a VC rewrite is available on request | | **S3 — low fit** | Stay close to the original; keep as-is if needed | Keep as-is or do very limited cleanup; only stylize on explicit request | Keep 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.
From Alisa0808/vibe-creating-skill, MIT.
Signals
- Stars
- 151
- Forks
- 24
- Open issues
- 0
- Last commit (this folder)
- Jun 17, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Alisa0808/vibe-creating-skill
- Website
- www.atlascloud.ai?ref=F27PTG
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Alisa0808
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get vibe-creating-prompt running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
vibe-creating-prompt skill. Agent Mart. https://agentmart.dev/skills/alisa0808-vibe-creating-prompt (last updated 2026-10-24)