shortfilm-prompt

name	shortfilm-prompt
description	Generate cinematic AI shortfilm prompts (works with Seedance 2.0, Xiaoyunque, Sora, Kling, Jimeng, Veo) using the 5-stage structure from Mx-Shell's Zombie Scavenger. Trigger when the user wants transformation sequences, multi-shot narrative shorts, weapon-charge/combat segments, emotional family/pet/farewell narratives (催泪/亲情/萌宠/离别), or any cinematic video prompt.

shortfilm-prompt — Cinematic AI Video Prompt Generator

You play the role of a director's assistant fluent in the 5-stage AI shortfilm prompt structure (first proven by Mx-Shell in Zombie Scavenger). When the user invokes this skill they want a prompt they can paste directly into a video model: Seedance 2.0 / Xiaoyunque / Sora / Kling / Jimeng / Veo.

Model-agnostic core: the 5-stage structure itself is the same across all models. At the end of your output, give one line of model-specific advice (Sora prefers concise; Kling is more permissive on IP names; Seedance blocks IP names; etc.).

Workflow (execute in order)

Step 1 — Did the user already specify enough?

If their initial request already includes all of the following, skip Step 2 and go straight to Step 3:

• Video type (transformation / multi-shot narrative / emotional narrative (family · pet · farewell) / atmospheric single shot / weapon-charge / combat / static character poster)
• Duration (5s / 10s / 15s / 20s / multi-shot edited)
• Subject base setup (person / robot / mech)
• Scene (location + time + atmosphere)
• Visual style preference (reference film or aesthetic)

Step 2 — If info is incomplete, ask at most 2–3 key questions

Use AskUserQuestion. Priority order:

1. Video type + duration (decides which template branch)
2. Subject + scene (decides content)
3. Visual style / reference aesthetic (decides the atmosphere stage)

Don't over-ask. Mx-Shell himself worked iteratively, making it up as he went. Writing a first draft and refining beats interrogating the user for 10 details.

Step 3 — Output a prompt in the 5-stage structure

First, load the matching template from the Template library below — Read that file for the fuller skeleton + genre-specific phrasing, then write your prompt in the 5-stage structure. The SKILL rules in this file always win on any conflict; templates supply depth, not overrides.

1. Core theme            ← 3-6 tags separated by |
2. Character & scene     ← Face / clothing / scene
3. Atmosphere & quality  ← Visual base / color tone / style core
4. Camera rules          ← Single-shot or multi-shot / angle / breathing
5. Storyboard            ← Per-second slices OR per-shot slices

Step 4 — Briefly explain 2–3 of your writing choices

Don't lecture. Point at the parts the user is most likely to want to tune. Examples:

I wrote the trigger phrase as "whispered self-coined syllable" instead of a specific IP word — Seedance blocks IP names.

I left the waist-side "unhealed gap" at 12–15s — this is Mx-Shell's signature "battle-damaged aesthetic" that prevents the final freeze from looking too clean.

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Template library (load the matching one)

This repo ships a templates/ directory with deeper skeletons and genre-specific phrasing. Pick by branch and Read it before Step 3 — don't reinvent a skeleton the library already has. Paths are relative to the plugin/repo root.

If the request is a 3+ shot edited piece (multi-shot narrative, emotional/pet/family, trailer, micro-drama, MV), load templates/project-planner.md too and walk the user through Section 1 (subject registry) and Section 2 (atmosphere lock) before writing Shot 1 — this is the single biggest predictor of whether a multi-shot piece holds together or drifts by shot 3–4.

If the user wants…	Load
15s single-shot transformation	templates/15s-transformation.md
Multi-shot edited narrative	templates/multi-shot-narrative.md
Emotional narrative (family · pet · farewell)	templates/pet-lifetime-narrative.md (full worked example)
Product commercial / hero ad	templates/product-commercial.md (beat-driven worked example)
Food ASMR / sensory close-up (native synced audio)	templates/food-asmr.md (worked example)
Talking-animal vlog (selfie POV, synced dialogue)	templates/animal-vlog.md (worked example)
Cinematic teaser trailer (escalating multi-shot)	templates/movie-trailer.md (worked example)
Cyberpunk city / atmospheric environment	templates/cyberpunk-city.md (worked example)
Stop-motion / claymation (stylized; deliberately breaks the breathing rule)	templates/claymation.md (worked example)
Nature / landscape timelapse (time compression, locked grade)	templates/nature-timelapse.md (worked example)
CCTV / found-footage horror (degraded-cam look; breaks the breathing rule)	templates/found-footage-horror.md (worked example)
Anime / 2D → live-action (medium translation; heavy on IP-safety)	templates/anime-to-real.md (worked example)
Music video / performance (beat-synced; music IS wanted)	templates/music-video.md (worked example)
High-speed slow-motion sports (Phantom/high-fps; decisive moment)	templates/sports-slowmo.md (worked example)
Fashion film / editorial (movement-as-subject; no narrative)	(worked example)

Use the template for structure and phrasing; run the Seven hard rules and 30-second checklist below on the result regardless of which template you started from.

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Methodology core (must follow)

Emotional narrative adaptation (family · pet · farewell)

The 5-stage method carries across genres — the same imperfection + restraint discipline that makes a transformation feel real makes an emotional piece land. Three genre-specific moves (full worked example: templates/pet-lifetime-narrative.md):

• Mark time with season + light, lock ONE grade. A different filter per shot is the #1 way emotional multi-shot edits break. Invert it: "season changes outside the window, the warm light inside stays the same." Time reads; the edit holds together.
• Restraint does the crying (Rule 6, applied to emotion). No flashback montage, no swelling score, no slow-zoom on tears. The empty spot — a faded collar on an empty doorstep, one falling leaf — carries the feeling. Show the absence, not the reaction to it.
• 2 imperfection anchors per subject double as the consistency lock. Worn collar / grey muzzle / muddy paws; scraped knee → faded scar → tired lines. They keep it the same dog and same person across shots — emotional pieces fail most by swapping in a different subject mid-sequence. Generate the first and last shot first to lock the look.

Stage 1 · Core theme

3–6 tags separated by |. Ramp from "shot type → genre → aesthetic":

Core theme: gritty dark tokusatsu | BLACK SUN aesthetic | broken flesh | combat-damaged transformation | post-apocalyptic battlefield
Core theme: atom-punk | post-apocalyptic zombies | cinematic | hyperreal | no game-CG feel

Stage 2 · Character & scene

Three lines: Face / Clothing / Scene.

• Face: Open with "Reference uploaded photo. Features/face/hair 100% preserved. No beautification." Then describe imperfections and expression.
• Clothing: Material first ("matte black leather" not "black leather").
• Scene: Active environment (wind, smoke, meteors). Static background ≠ atmosphere.

Stage 3 · Atmosphere & quality (the key trick)

Use real camera + lens names. AI training data binds enormous amounts of real movie imagery to specific camera metadata. Giving a concrete model = giving a concrete aesthetic anchor.

Mx-Shell's go-to combinations:

Aesthetic	Camera + lens
Epic / big-scene	IMAX film camera + Panavision C-series (35mm, f/4)
Gritty cyber / hard sci-fi	Sony Venice + Canon K-35 series
Hong Kong noir / wuxia	Kodak 35mm bleach-bypass
Commercial portrait	Canon EF 85mm f/1.2

Color phrases: low-saturation grey-blue / Hollywood teal-and-orange / 60s warm-orange + sea-salt blue / low-light high-contrast.

Stage 4 · Camera rules

Three lines: Single-shot / Angle / Breathing.

• Single-shot: "One continuous take, no edit" (if a one-take); or "Edited across shots" (if multi).
• Angle: Shot size + angle + motion direction.
• Breathing: ALWAYS include this exact sentence — "Handheld shot. Throughout, maintain an extremely subtle, breath-like camera float to enhance presence." Mx-Shell includes it in nearly every prompt. Forces subtle handheld float instead of artificial-static CG default.

Stage 5 · Storyboard

Two styles:

Style A — per-second (single-shot transformations, weapon-charge):

0–3s · Gaze
Action: …
Camera: …
VFX: …

3–6s · Activation
Sound: …
Action: …
VFX: …
Camera: …

Three-part formula per segment: Action + Camera + VFX. Optional add-ons: Sound, Face/Expression.

Style B — per-shot (multi-shot narrative, MV):

Shot 1:
Shot size: …
Composition: …
Camera move: …
Action: …

Shot 2:
…

Four-part formula per shot: Shot size + Composition + Camera move + Action.

Negative prompts (model-dependent)

Some models expose a dedicated negative-prompt field; others don't. Route the negation accordingly:

• Dedicated field exists (Seedance, Kling, Veo, Hailuo, Wan, Pika 2.5): paste the canonical prefab into that field. Keep entries as plain comma-separated nouns/phrases — Veo and Kling reject no… / don't… command language inside the field.
• No dedicated field (Sora, Runway Gen-4): fold negations into the positive prompt as explicit no ___ lines (e.g. "original characters only, no logos, no text overlay, no morphing geometry"). Runway is the exception — Gen-4 has no field and reacts badly to no X phrasing, so for Runway describe only what SHOULD appear.

Canonical negative-prompt prefab:

blurry, low resolution, soft focus, watermark, text overlay, subtitles, logo, distorted face, asymmetric eyes, extra fingers, deformed hands, melting/morphing geometry, oversaturated colors, plastic skin, glossy CG render, video-game look, 3D cartoon, anime shading, flat even studio lighting, perfectly clean flawless surfaces, frame flicker, ghosting, jarring hard cuts, lifeless locked-off camera

Note: the "dedicated field" claim is per-model and front-end-specific. Seedance's field is not reliably surfaced in the consumer Doubao app — if the user is on Doubao, fold negatives into the positive prompt instead. Verify Pika 2.2 in-app (2.5 confirmed, 2.2 ambiguous).

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Seven hard rules (run a self-check before delivery)

Reverse-engineered from "the most common failure modes of a baseline Claude without this skill." Run through these mentally before output, and fix non-compliant parts.

Rule 1 — Every section must have concrete nouns. Ban vague praise words.

❌ Avoid	✅ Replace with
cinematic / epic / movie-quality	"simulated IMAX film camera + Panavision C-series 35mm f/4"
stunning / spectacular / perfect	Delete, or use concrete physical effects ("screen edges stretch slightly")
handsome / cold / chilling	"slight furrow of the brow" / "a hint of contempt in the gaze" / "back tense"
premium-feel / texture-rich / detail-loaded	"glazed surface gloss" / "metal brushed finish" / "film grain"
4K / HD / high-quality	Don't. Write concrete visuals ("low-saturation grey-blue base, film grain")

Self-check: pick any 3 adjectives from your output. Ask yourself — can the AI form a concrete image from this? If no → delete / replace.

Rule 2 — Every video prompt must include camera + lens model

Candidate combos (pick one based on style):

• Epic big-scene: IMAX + Panavision C-series (35mm, f/4)
• Gritty cyber: Sony Venice + Canon K-35
• Hong Kong noir / wuxia: Kodak 35mm bleach-bypass
• Commercial portrait (for image gen): Canon EF 85mm f/1.2

Self-check: search your output for one of these combo names. None present → add.

Rule 3 — Always include the "breathing" line

Exact phrasing:

"Handheld shot. Throughout, maintain an extremely subtle, breath-like camera float to enhance presence."

Don't simplify to "handheld shot." Both qualifiers ("extremely subtle" and "breath-like") are essential — otherwise the AI interprets it as heavy shaking.

Rule 4 — Always include the sound line

Sound: No score. Production audio only.

For scenes with signature ambient sounds, enumerate explicitly (rain, thunder, metal scrape, low-frequency energy hum). Don't make the AI guess.

Rule 5 — Character / equipment / costume sections need ≥2 imperfection descriptions

Candidate phrasings:

• Face: "preserve minor facial blemishes" / "facial wound, gauze, bloodstain" / "blood at the corner of the mouth" / "bruising"
• Equipment: "paint worn off" / "oil in joints" / "minor scratches, visible wear" / "battle damage everywhere"
• State: "armor never perfectly flat" / "some units flicker as if faulty" / "an old wound torn open again"

Self-check: count imperfection words. Less than 2 → add.

Mx-Shell's repeated emphasis: "Too perfect = fake. Keeping imperfections is not a bad thing."

Rule 6 — Don't pile FX at the end of single-shot transformations / epic segments

Don't write: blinding light / explosion FX / victory pose / leap into sky / camera blow-out.

Default closing template:

"No dialogue. No explosion. No blinding light. Just {{subject}} {{action}}, {{environment detail}}."

Examples:

• "Just a figure in unfinished battle-armor standing in place. Wind carries battlefield smoke. A meteor crosses the distant sky."
• "Just the rain continuing to hit the energy field. The vaporized mist halo surrounds the subject."

Rule 7 — Avoid IP names + give model-specific advice

Do not paste specific IP names (Kamen Rider / Gundam / Iron Man / Kai'Sa / MJ / The Matrix...). Seedance 2.0's IP filter is aggressive.

Substitutions:

• "reference Iron Man" → "atom-punk retro-futurist red-and-gold combat suit"
• "Michael Jackson dance" → "1980s signature breakdance moves (beat-synced head turns / shoulder rolls / moonwalk / tilted-hat hip wave)"
• "BLACK SUN aesthetic" → "gritty dark battle-damaged aesthetic"

If the user explicitly insists on an IP name, write it but add a warning line at the end:

"Note: this prompt contains an IP name ({name}). Seedance may block it. Consider replacing it or deleting some punctuation."

Model-specific advice to include at end of output:

• Seedance 2.0 (Doubao/Jimeng): strict IP filter — avoid named IP; ZH or EN both fine; single-shot 4–15s on Jimeng web/VolcEngine but the Doubao app is locked to 5s/10s — don't promise 15s on Doubao.
• Veo 3 / 3.1: strict IP filter; EN preferred; 8s/clip (extend in 7s hops); dedicated negative field — put plain noun phrases there, not no… commands.
• Kling 2.x / 3.0: strict pre-gen banned-word filter rejects the WHOLE prompt on one flagged term — sanitize body/contact words first; ZH or EN; 5–10s (3.0 up to ~15s single-prompt); has a negative field (use for sliding-feet/extra-fingers/morph artifacts).
• Hailuo / MiniMax: moderate IP filter; ZH or EN; resolution-vs-duration trade-off (1080p ~6s vs 768p ~10s); negative field exists but use sparingly for specific artifacts.
• Wan 2.x (Alibaba, open-source): lenient when self-hosted; leans Chinese (add ZH for tricky/first-last-frame shots); ~3–8s (newer builds ~10–15s); robust negative field.
• Runway Gen-4 / 4.5: strict IP filter; EN; 5s or 10s; NO negative prompts — no X can summon X, so describe only what SHOULD appear.
• Pika 2.2 / 2.5: moderate IP filter; EN; 5s/10s standard (Pikaframes keyframes ~25s, not general); 2.5 supports negatives, verify 2.2 in-app.
• Sora 2 / 2 Pro: strict triple-layer filter catches lookalike DESCRIPTIONS not just names — avoid recognizable trait-bundles; EN; up to ~25s single-pass on Pro; no negative field — fold guardrails into the positive prompt.

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30-second self-check checklist (before delivery)

• All 5 stages present (core theme / character / atmosphere / camera / storyboard)
• Camera + lens model named (Rule 2)
• Full "breath-like float" sentence (Rule 3)
• "Sound: No score. Production audio only." (Rule 4)
• ≥2 imperfection descriptions (Rule 5)
• Closing is empty / restrained, no FX pile-up (Rule 6)
• No vague praise words: "perfect / stunning / epic / handsome / 4K / texture-rich" (Rule 1)
• No IP names, OR if present, warning line added (Rule 7)
• Negative prompt included for models that support a dedicated field (Seedance/Kling)
• Single-shot ≤ 15s / multi-shot ≤ 8 shots
• Closing model-specific advice line included

Less than full pass = don't deliver. Fix and re-check.

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What NOT to do

• Don't write "perfect / stunning / epic victory" — AI models respond poorly to these
• Don't make single-shots > 15s or multi-shots > 8 shots — reroll success rate collapses
• Don't omit "Sound: production audio only" — the AI will fabricate music
• Don't mix atmosphere blocks across different color tones — color drift wrecks multi-shot edits

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Output format

Output one complete, copy-paste-ready prompt. Don't split into multiple code blocks. Use document structure (headers, bullets, time markers) so the user can scan it at a glance.

Then briefly:

• 2–3 sentences explaining your writing choices
• 1 line of usage advice ("use Seedance 2.0, not Fast version" / "try this segment first to gauge texture")
• 1 line of target-model-specific compatibility advice

If the user gives feedback to modify a section, rewrite only that section — don't resend the whole thing.