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Shortfilm Prompt (Cinematic AI Video Prompt Generator)

Generates paste-ready, 5-stage cinematic video prompts for Seedance, Sora, Kling, Veo and Jimeng.

Image & VideoIntermediate★ 340⑂ 64AI score 9/10Last updated: Jul 23, 2026

What it does

  • Writes one complete, copy-paste-ready prompt for video models: Seedance 2.0, Sora, Kling, Veo, Jimeng, Xiaoyunque.
  • Structures every prompt into 5 stages: core theme | character & scene | atmosphere & quality | camera rules | storyboard (per-second or per-shot).
  • Enforces seven hard rules: no vague praise words (epic, 4K, perfect), a named real camera + lens combo (IMAX + Panavision C-series, Sony Venice + Canon K-35…), the exact "breath-like camera float" sentence, a fixed Sound: No score. Production audio only. line, at least two imperfection details, no FX pile-up at the end, and IP-name avoidance with substitutions.
  • Routes to a genre template library (transformation, multi-shot narrative, pet/family emotional, product ad, food ASMR, trailer, cyberpunk, music video, drone FPV, vertical micro-drama, camera-move library, negative-prompt prefabs).
  • Closes with model-specific advice: IP-filter strictness, preferred language, clip length limits, and whether a dedicated negative-prompt field exists.

Who it's for

  • Creators producing AI short films, reels, or ad cuts.
  • Anyone whose AI video keeps coming out plastic and CG-looking.
  • Editors fighting subject/color drift across 3+ shot sequences.
  • People who want a cheat sheet of per-model constraints.

Example uses

  1. "Write a 15s single-take transformation prompt" → per-second storyboard (0–3s gaze / 3–6s activation…) with Action + Camera + VFX lines and a restrained closing.
  2. "Emotional multi-shot piece about a dog's whole life" → time marked by season and light, one locked grade, two imperfection anchors (worn collar, grey muzzle) to keep the same subject across shots.
  3. "Cyberpunk street atmosphere for Kling" → Sony Venice + Canon K-35 combo, canonical negative-prompt block, plus a warning about Kling's whole-prompt banned-word filter.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/jnMetaCode/ai-shortfilm-prompts/HEAD/skills/shortfilm-prompt/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/shortfilm-prompt folder from the GitHub repo jnMetaCode/ai-shortfilm-prompts into my ~/.claude/skills/shortfilm-prompt/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/jnMetaCode/ai-shortfilm-prompts.git /tmp/ai-shortfilm-prompts && mkdir -p ~/.claude/skills && cp -r /tmp/ai-shortfilm-prompts/skills/shortfilm-prompt ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal (Terminal on macOS, Git Bash on Windows).
  2. Clone the repo: git clone https://github.com/jnMetaCode/ai-shortfilm-prompts.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill in: cp -r ai-shortfilm-prompts/skills/shortfilm-prompt ~/.claude/skills/
  5. Check for the templates/ directory. If it lives at the repo root, also run cp -r ai-shortfilm-prompts/templates ~/.claude/skills/shortfilm-prompt/ so the template references resolve.
  6. Restart Claude Code and try: "make me a 15-second transformation video prompt for Seedance."
View source on GitHub ↗License: MIT