muapi-award-ceremony-video — Claude Code skill: awards-ceremony video
This skill generates a 15-second awards-ceremony clip: a host announces the winner, a spotlight finds them in the crowd, and they walk up to collect the award.
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-award-ceremony-video -a claude-code
npx skills add SamurAIGPT/Generative-Media-Skills --skill award-ceremony-video -a claude-codeWhat muapi-award-ceremony-video does
The skill turns two photos into a finished awards scene. A host stands at the podium and speaks the name, the camera picks the winner out of the audience, they climb the stage, take the plaque, and the LED display lights up with their name and the words "THE BEST ACTOR". Duration is 15 seconds, aspect ratio 16:9, resolution 720p, and audio is generated along with the picture.
You supply two images: a clear photo of the winner and a photo of the host. The first becomes @image_1, the second @image_2, and the order matters because it sets that mapping. Faces are strict-locked to the reference, so a bad photo ruins the whole clip. The winner's name is passed as text and defaults to Olivia; it is spoken in the audio and rendered on the LED display, so check it before you run anything.
Generation goes through muapi video from-image on the seedance-2-image-to-video-fast model, with bytedance-seedance-2-0-reference-to-video-fast as a fallback. The prompt is laid out second by second: the announcement, the crowd reaction, the walk to the stage, the handover, and a final wide shot with no fade to black. If one of the photos is missing, the skill asks you to upload it and will not start.
What it helps with
- build a short awards-ceremony clip from two photos
- show the winner being announced from the stage and the crowd reacting
- put the winner's name on the LED display inside the frame
- get a multi-angle edit with live ceremony sound
- produce an award handover video without a film crew
Example prompts for the agent
- Generate an awards ceremony video: winner is photo1.jpg, host is host.jpg, name is Anna.
- Make a 15-second award handover clip from these two photos.
- Run the award ceremony video, winner name Olivia.
How to install muapi-award-ceremony-video
1Skills CLI (Vercel)
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-award-ceremony-video -a claude-codenpx skills add SamurAIGPT/Generative-Media-Skills --skill award-ceremony-video -a claude-code2Manually: put the files in place
~/.claude/skills/award-ceremony-video/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/award-ceremony-video/
1Skills CLI (Vercel)
npx skills add SamurAIGPT/Generative-Media-Skills --skill award-ceremony-video -a codex2Manually: put the files in place
.agents/skills/award-ceremony-video/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add SamurAIGPT/Generative-Media-Skills --skill award-ceremony-video -a cursor2Manually: put the files in place
.cursor/skills/award-ceremony-video/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install SamurAIGPT/Generative-Media-Skills award-ceremony-video2Manually: put the files in place
.github/skills/award-ceremony-video/SKILL.md1Skills CLI (Vercel)
npx skills add SamurAIGPT/Generative-Media-Skills --skill award-ceremony-video -a gemini-cli2Platform CLI
gemini skills install https://github.com/SamurAIGPT/Generative-Media-Skills --path library/motion/award-ceremony-videoManually: put the files in place
.devin/skills/award-ceremony-video/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add SamurAIGPT/Generative-Media-Skills --skill award-ceremony-video -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about muapi-award-ceremony-video
How do I install muapi-award-ceremony-video in Claude?
Run npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-award-ceremony-video -a claude-code. The skill lands at ~/.claude/skills/award-ceremony-video/SKILL.md.
What does muapi-award-ceremony-video do?
It generates a 15-second awards-ceremony video: the host announces the winner, a spotlight finds them in the audience, they walk to the stage and receive the award, and the LED display shows their name and "THE BEST ACTOR".
What do I need before running it?
Two images: a clear photo of the winner and a photo of the host. The order you pass them sets @image_1 and @image_2, and check the winner's name beforehand because it is spoken in the audio and shown on the display.
Source text
SKILL.md · MIT
---
slug: muapi-award-ceremony-video
name: muapi-award-ceremony-video
version: "1.0.0"
description: Generate a 15-second cinematic awards-ceremony video — a host announces a winner from the stage, a spotlight finds them in the crowd, they walk up to the podium, receive the award, and the LED display reveals their name and "THE BEST ACTOR".
acceptLicenseTerms: true
---
# Award Ceremony Video
**Generate a 15-second cinematic awards-ceremony video — a host announces a winner from the stage, a spotlight finds them in the crowd, they walk up to the podium, receive the award, and the LED display reveals their name and "THE BEST ACTOR".**
## Inputs
| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| `winner_image` | image_url | yes | — | A clear photo of the winner. Becomes `@image_1` — their identity is strict-locked across the video. |
| `host_image` | image_url | yes | — | A clear photo of the host. Becomes `@image_2` — sole presenter on stage at the podium. |
| `winner_name` | text | no | Olivia | The name announced by the host and shown on the LED stage display under "THE BEST ACTOR". |
## Steps
### Phase A — Confirm Inputs
If either `{{winner_image}}` or `{{host_image}}` is missing, ask the user to upload them. Confirm `{{winner_name}}` before generation — it appears spoken in the audio and rendered on the LED display.
### Phase B — Generate the Ceremony Video
Submit the plan with ONE step using the Seedance 2.0 image-to-video fast variant (multi-reference). Pass the images in this exact order — order maps to `@image_1` then `@image_2`:
1. **Award Ceremony Video** — `muapi video from-image` (model=`seedance-2-image-to-video-fast`, or fall back to raw endpoint `bytedance-seedance-2-0-reference-to-video-fast`):
- Reference images (in order): `{{winner_image}}`, `{{host_image}}`
- Aspect ratio: `16:9`
- Duration: `15`
- Resolution: `720p`
- Generate audio: `true`
- Prompt:
```
**Style:** Ultra-realistic live awards ceremony scene. Multi-camera broadcast style — switches between polished TV broadcast angles and intimate handheld documentary coverage. Cinematic prestige feel — think Grammy Awards or Academy Awards production quality. Natural human reactions, no over-acting.
**Audio:** Natural ceremony sound — elegant orchestral background music, host microphone voice projecting through venue speakers, crowd murmur, then erupting applause and cheers, chair movement, footsteps on stage, trophy/plaque handling sound, emotional crowd reaction.
**Lighting:** Grand indoor awards venue. Dramatic stage lighting — warm golden spotlights on stage, cooler ambient lighting over audience seating. Broadcast camera lights. LED stage displays casting colored light. When winner is announced — a warm spotlight sweeps and locks onto the winner in the audience.
**Setting:** Massive prestigious awards venue — Grammy or Academy Awards scale. Grand stage with towering LED displays, elegant podium, live orchestra pit. Thousands of formally dressed audience members seated in rows. Press cameras lining the aisles. Large overhead screens showing live broadcast feed. The venue radiates prestige and scale.
**Main Character STRICT LOCK:**
**@image_1 — THE WINNER "{{winner_name}}":** Use @image_1 as strict identity. The person dressed in formal awards show attire for the award ceremony. No sunglasses. No modifications to face or build. Seated in the audience among other formally dressed attendees.
**@image_2 — THE HOST:** Use @image_2 as strict identity as the sole host on stage at the podium. Maintain exact face, build, and features. Dressed in formal awards show attire. No modifications to face or build allowed.
**SCENE TIMELINE — 15 SECONDS**
**0–3s — THE ANNOUNCEMENT:**
**Broadcast close-up** directly on @image_2's face — tight, cinematic, high production quality. @image_2 stands at the podium microphone under a warm golden spotlight. Expression is composed, charismatic, building suspense deliberately. The person holds the envelope or card, glances down at it one final time, then looks straight into camera. A beat of silence. The person leans into the microphone and says slowly: *"And the winner is..."* Camera holds tight on @image_2's face — lips, expression, the tension of the moment. Crowd murmur audible in background.
**3–6s — THE WINNER:**
Hard **broadcast cut** to audience — low-angle TV camera shot pushing through seated rows. Camera finds @image_1 seated among other guests, relaxed, not expecting it. @image_2's voice continues booming through the venue speakers: *"...{{winner_name}}"* Spotlight snaps onto @image_1 from above. The person's expression shifts — genuine shock, eyes wide, mouth slightly open, then breaks into a real overwhelmed smile. The person looks left and right at the people beside in disbelief. The crowd erupts into applause and cheers. People around the person stand, clapping, patting their shoulders.
**6–9s — RISING AND WALKING:**
@image_1 straightens up, composes themselves, stands from their seat. **Handheld documentary camera** picks the person up immediately — tracking from the aisle as the person moves forward toward the stage. Camera moves with the person — slightly shaky, intimate, real. Applause continues thundering through the venue. Overhead broadcast screens cut to the person's face live. The person walks with composure — attire clean, posture upright, expression warm and slightly emotional.
**9–12s — REACHING THE STAGE:**
Handheld camera follows @image_1 up the stage steps. Bright stage spotlights hit the person fully as they ascend. @image_2 steps forward from the podium smiling warmly, holding the award plaque with both hands. @image_1 reaches the podium. @image_2 presents the plaque — @image_1 receives it with both hands, looks down at it for a brief genuine moment. The two share a natural smile and brief handshake. Behind them on the massive **LED stage display**: a large portrait of @image_1's face, the person's name in bold elegant typography — **"{{winner_name}}"** — and beneath it: **"THE BEST ACTOR."** The display glows and pulses with celebratory graphics.
**12–15s — THE MOMENT:**
Camera settles into a **wide broadcast shot** of the full stage — @image_1 standing at the podium, award plaque in hand, @image_2 standing beside the person, LED wall blazing behind them both with @image_1's name and face. Spotlights lock on @image_1. Applause fills the entire venue — standing ovation building across the audience. @image_1 raises the plaque slightly, looks out at the crowd, smile composed and genuine. @image_2 leads the applause from the stage beside the person. Final frame holds — the full stage, the glowing LED display, the roaring crowd, and @image_1 standing at the center of it all. No fade to black.
```
After generation, present the final 15-second award-ceremony video.
## Trigger Keywords
`award ceremony`, `awards show video`, `oscars video`, `grammy ceremony`, `best actor award`, `winner announcement video`, `red carpet award`
---
## Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call `muapi` CLI commands. Use `muapi auth configure` first if `MUAPI_API_KEY` is unset.
- **Image order is load-bearing.** The Winner must be the first image (resolves to `@image_1`) and the Host must be the second (`@image_2`). Reversing them swaps who announces and who walks up.
- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call. The winner's name appears both in the spoken audio cue and on the LED display, so spell-check it before generation.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` (passing `image_urls`, `aspect_ratio`, `duration`, `resolution`, `generate_audio`, `prompt`) and poll with `muapi predict wait <request_id>`.
© SamurAIGPT · MIT · SamurAIGPT/Generative-Media-Skills