Skill 详情
muapi-social-media-video
End-to-end creation of branded platform-ready social video.
使用前先检查
自动化审核只检查相关性,不代表安全审查或推荐。使用前请阅读来源中的说明。
SKILL.md
这段内容是审核时保存的快照。外部来源才是完整且最新的版本。
---
slug: muapi-social-media-video
name: muapi-social-media-video
version: "1.0.0"
description: Brand-aware social media video creator. Reads brand-identity.md, ICP.md, and messaging.md to write a post/storyboard, craft an optimized Seedance 2.0 Director prompt, generate reference frames with the best available image model, and produce platform-ready video.
acceptLicenseTerms: true
---
# Social Media Video Creator
**End-to-end pipeline: Brand Files → Storyboard → Reference Images → Seedance 2.0 Video.**
Reads your brand identity, ICP, and messaging documents to produce on-brand social video — fully optimized for Seedance 2.0's instructional prompt grammar and your target platform.
---
## Agent Execution Protocol
### Step 1 — Read Brand Files
Before writing anything, the agent MUST read all available brand files. Look for them in the working directory or any `brand/` subdirectory:
| File | What to extract |
|:---|:---|
| `brand-identity.md` | Visual style, color palette, tone, logo/product aesthetics, brand personality |
| `ICP.md` | Target audience — who they are, their pain points, what motivates them |
| `messaging.md` | Core value props, hooks, CTAs, campaign themes, taglines |
If a file is missing, proceed with what's available and note the gap.
---
### Step 2 — Write the Social Post + Storyboard
Use brand context to produce:
**Social Post Copy** (for caption/copy):
- Hook line (first 1–2 sentences — must stop the scroll)
- Body (3–5 sentences: problem → solution → proof → CTA)
- Hashtags (5–8 relevant tags)
- CTA (one clear action)
**Storyboard** (match duration to platform spec):
```
0–3s: [Opening scene — hook/visual surprise — camera move]
3–7s: [Core message — product/subject in action — camera move]
7–10s: [Resolution — brand moment — CTA text on screen]
10–15s: [Logo/tagline hold — background music fade]
```
Tone must match brand personality. If brand is playful → upbeat transitions, bright grade.
If brand is premium → slow reveals, dark luxury aesthetic, moody lighting.
---
### Step 3 — Craft the Seedance 2.0 Director Prompt
Transform the storyboard into a **technical Director Brief** for Seedance 2.0.
**Rules:**
1. Never use vague descriptors ("beautiful", "amazing", "8k"). Use technical cinematography language.
2. Always specify camera movement, lens type, and lighting physically.
3. For 10s+ videos, use timecode segments: `0–3s: [...] 3–7s: [...] 7–10s: [...]`
4. Integrate `@image1`, `@image2` reference tags if images are provided.
5. Always include sound direction (even brief) — Seedance generates audio.
6. Lead with composition, end with texture and micro-motion.
**Director Brief Template:**
```
[SCENE] {environment, lighting, time of day}
[SUBJECT] {product/character/subject with specific detail}
[ACTION] {what happens — fluid, continuous, physically plausible}
[CAMERA] {movement + lens + framing}
[STYLE] {color grade, mood, film reference if helpful}
[SOUND] {music tone, sound effects, ambient}
0–Xs: {if multi-beat}
```
---
### Step 4 — Generate Reference Images (If Needed)
**When to generate reference images:**
| Scenario | Mode | Images Needed |
|:---|:---|:---|
| Product showcase | `i2v` | 1 product shot as first frame |
| Scene transition | `first-last` | 2 images — opening and closing frame |
| Brand character | `i2v` | 1 character reference |
| Pure concept | `t2v` | None — text only |
| Mood/style anchor | `i2v` | 1 style reference image |
**Image generation — best models by use case:**
| Use Case | Recommended Model | Why |
|:---|:---|:---|
| Photorealistic product/scene | `google-imagen4-ultra` | Highest realism, great lighting |
| Concept art / stylized | `flux-kontext-pro-t2i` | Creative fidelity, style adherence |
| Fastest turnaround | `google-imagen4-fast` | Speed with good quality |
| Highly detailed/editorial | `hidream-i1-full` | Fine detail, editorial quality |
| Character with identity | `ideogram-v3-t2i` | Strong text + character rendering |
**Reference image 在 GitHub 阅读完整来源 (打开外部页面)