Seedance
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
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.
$ npx skills add jnMetaCode/ai-shortfilm-prompts --skill shortfilm-prompt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jnMetaCode/ai-shortfilm-prompts shortfilm-prompt --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jnMetaCode/ai-shortfilm-prompts.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/shortfilm-prompt .claude/skills/shortfilm-prompt && rm -rf skills-srcUse ~/.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/
Install the "shortfilm-prompt" agent skill from https://github.com/jnMetaCode/ai-shortfilm-prompts/tree/main/skills/shortfilm-prompt into .claude/skills/shortfilm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortfilm-prompt", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jnMetaCode/ai-shortfilm-prompts/tree/main/skills/shortfilm-promptType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jnMetaCode/ai-shortfilm-prompts --skill shortfilm-prompt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jnMetaCode/ai-shortfilm-prompts shortfilm-prompt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jnMetaCode/ai-shortfilm-prompts.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/shortfilm-prompt .agents/skills/shortfilm-prompt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "shortfilm-prompt" agent skill from https://github.com/jnMetaCode/ai-shortfilm-prompts/tree/main/skills/shortfilm-prompt into .agents/skills/shortfilm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortfilm-prompt", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jnMetaCode/ai-shortfilm-prompts --skill shortfilm-prompt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jnMetaCode/ai-shortfilm-prompts shortfilm-prompt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jnMetaCode/ai-shortfilm-prompts.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/shortfilm-prompt .cursor/skills/shortfilm-prompt && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "shortfilm-prompt" agent skill from https://github.com/jnMetaCode/ai-shortfilm-prompts/tree/main/skills/shortfilm-prompt into .cursor/skills/shortfilm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortfilm-prompt", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jnMetaCode/ai-shortfilm-prompts.git --path skills/shortfilm-prompt--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jnMetaCode/ai-shortfilm-prompts --skill shortfilm-prompt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jnMetaCode/ai-shortfilm-prompts shortfilm-prompt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jnMetaCode/ai-shortfilm-prompts.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/shortfilm-prompt .gemini/skills/shortfilm-prompt && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "shortfilm-prompt" agent skill from https://github.com/jnMetaCode/ai-shortfilm-prompts/tree/main/skills/shortfilm-prompt into .gemini/skills/shortfilm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortfilm-prompt", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jnMetaCode/ai-shortfilm-prompts shortfilm-promptInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jnMetaCode/ai-shortfilm-prompts --skill shortfilm-prompt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jnMetaCode/ai-shortfilm-prompts.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/shortfilm-prompt .github/skills/shortfilm-prompt && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "shortfilm-prompt" agent skill from https://github.com/jnMetaCode/ai-shortfilm-prompts/tree/main/skills/shortfilm-prompt into .github/skills/shortfilm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortfilm-prompt", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jnMetaCode/ai-shortfilm-prompts --skill shortfilm-prompt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jnMetaCode/ai-shortfilm-prompts shortfilm-prompt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jnMetaCode/ai-shortfilm-prompts.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/shortfilm-prompt .opencode/skills/shortfilm-prompt && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "shortfilm-prompt" agent skill from https://github.com/jnMetaCode/ai-shortfilm-prompts/tree/main/skills/shortfilm-prompt into .opencode/skills/shortfilm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortfilm-prompt", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
shortfilm-promptGenerate 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.
Shortfilm Prompt is an agent skill from jnMetaCode/ai-shortfilm-prompts. 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.
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files (for example `SKILL.zh.md`, `TESTING.md` and `examples/01-mecha-energy-shield.md`).
It sits in Media & Creative, covering AI video generation. It works with Seedance. The repository describes itself as: Claude Code Skill that turns any idea into a cinematic, model-ready video prompt — Sora · Kling · Veo · Seedance. 21 genre templates, 5-stage structure, eval-tested. Distilled…. The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1ddca87. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
blackFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Shortfilm Prompt loads about 4.8k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 2,258 words of instructions outside code blocks.
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.
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.
The full file from jnMetaCode/ai-shortfilm-prompts at commit 1ddca87, republished under its MIT licence (© jnMetaCode). 2,258 words, ~4,800 tokens.
.claude/skills/shortfilm-prompt/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.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.).
If their initial request already includes all of the following, skip Step 2 and go straight to Step 3:
Use AskUserQuestion. Priority order:
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.
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 slicesDon'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.
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) | templates/fashion-film.md (worked example) |
| Travel vlog / sense of place (handheld montage) | templates/travel-vlog.md (worked example) |
| Drone / FPV aerial (continuous flight; the move is the content) | templates/drone-fpv.md (worked example) |
| Vertical micro-drama (竖屏短剧; hook + shot-reverse-shot + cliffhanger) | templates/micro-drama.md (worked example) |
| Hard sci-fi space / zero-G (weightless physics; vacuum silence) | templates/sci-fi-space.md (worked example) |
| Car commercial (reflective surfaces; automotive rig) | templates/car-commercial.md (worked example) |
| Dance film (continuous full-body motion; body-to-beat) | templates/dance.md (worked example) |
| 3+ shot project — lock consistency before generating | templates/project-planner.md (subject registry + atmosphere lock + shot list; fill it out with the user before writing shot 1) |
| How the camera should move, by genre | templates/genre-camera-sop.md |
| Camera-move phrasing, by technique (50 moves) | templates/camera-move-library.md |
| Atmosphere / quality paragraph, by genre | templates/atmosphere-prefabs.md |
| Negative-prompt block + per-model routing | templates/negative-prompts.md |
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.
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):
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 feelThree lines: Face / Clothing / Scene.
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.
Three lines: Single-shot / Angle / Breathing.
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.
Some models expose a dedicated negative-prompt field; others don't. Route the negation accordingly:
no… / don't…
command language inside the field.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 cameraNote: 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).
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.
| ❌ 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.
Candidate combos (pick one based on style):
Self-check: search your output for one of these combo names. None present → add.
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.
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.
Candidate phrasings:
Self-check: count imperfection words. Less than 2 → add.
Mx-Shell's repeated emphasis: "Too perfect = fake. Keeping imperfections is not a bad thing."
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:
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:
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:
no… commands.no X can summon X, so describe only what SHOULD appear.Less than full pass = don't deliver. Fix and re-check.
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:
If the user gives feedback to modify a section, rewrite only that section — don't resend the whole thing.
© jnMetaCode, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 9 other files in skills/shortfilm-prompt of jnMetaCode/ai-shortfilm-prompts.
Open the folder on GitHubat commit 1ddca87
Shortfilm 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Shortfilm Prompt this skilljnMetaCode/ai-shortfilm-prompts | 459 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| SN Motion HTMLOpenSenseNova/SenseNova-Skills | 5.7k | — | ~2.2k | Automated safety check: Notes | MIT | |
| Seedance Prompt Endexhunter/seedance2-skill | 4.2k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Seedance Japanese Prompt ExamplesEmily2040/seedance-2.0 | 7.6k | 1 repos | ~898 | Automated safety check: Pass | MIT | |
| Seedance 2 5 Video Directorliyue-aigc/seedance-2-5-video-director | 599 | — | ~3.5k | Automated safety check: Pass | MIT |
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
OpenSenseNova/SenseNova-Skills
Builds HTML stories where one continuous camera journey advances with page progress, using researched structure, AI stills, Seedance video clips and browser QA.
dexhunter/seedance2-skill
Write effective prompts for Jimeng Seedance 2.0 multimodal AI video generation.
Emily2040/seedance-2.0
Provides Japanese prompt patterns and safe example rewrites for Seedance 2.0 video generation, with reference tags kept intact and each example labeled by risk.
liyue-aigc/seedance-2-5-video-director
Design, derive, optimize, diagnose, and rewrite scripts or copy-ready prompts specifically for Dreamina/即梦 Seedance 2.5.
dexhunter/seedance2-skill
为即梦 Seedance 2.0 多模态AI视频生成模型撰写高质量提示词。当用户需要使用文本、图片、视频、音频等多模态输入创作视频提示词时触发。涵盖@引用语法、运镜复刻、特效模仿、视频延长、视频编辑、音乐卡点、电商广告、短剧创作、科普教育等场景。
Works with
Categories
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. Shortfilm Prompt is an agent skill from jnMetaCode/ai-shortfilm-prompts.0, Xiaoyunque, Sora, Kling, Jimeng, Veo) using the 5-stage structure from Mx-Shell's Zombie Scavenger.
Shortfilm Prompt fits situations like: 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).
Run `npx skills add jnMetaCode/ai-shortfilm-prompts --skill shortfilm-prompt -a claude-code`. Or copy the skill folder (skills/shortfilm-prompt in jnMetaCode/ai-shortfilm-prompts) into .claude/skills/shortfilm-prompt in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jnMetaCode/ai-shortfilm-prompts --skill shortfilm-prompt -a codex`. Or copy the skill folder (skills/shortfilm-prompt in jnMetaCode/ai-shortfilm-prompts) into .agents/skills/shortfilm-prompt in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jnMetaCode/ai-shortfilm-prompts --skill shortfilm-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/shortfilm-prompt, .gemini/skills/shortfilm-prompt, .github/skills/shortfilm-prompt and .opencode/skills/shortfilm-prompt in your project.
Going by SKILL.md and its folder, Shortfilm Prompt needs the command-line tools its instructions call (black).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Shortfilm Prompt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Shortfilm 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.
jnMetaCode (a GitHub user) maintains it in jnMetaCode/ai-shortfilm-prompts, which has 459 GitHub stars. The repository was last updated on October 5, 2026.
Source: jnMetaCode/ai-shortfilm-prompts on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.