Complete guide for scripting, producing, and assembling explainer videos via inference.sh CLI.
Works with
Provides three script formulas (Problem-Agitate-Solve, Before-After-Bridge, Feature Spotlight) with timing breakdowns, word counts, and pacing rules for 30–120 second videos
Covers scene generation via video AI models, voiceover production with TTS, music ducking, and caption integration through a multi-step assembly pipeline
Includes practical tables for pacing (120–170 wpm by content type
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionexplainer-video-guideExecute the skills CLI command in your project's root directory to begin installation:
Fetches explainer-video-guide from inferen-sh/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate explainer-video-guide. Access via /explainer-video-guide in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Create explainer videos from script to final cut via inference.sh CLI.
Requires inference.sh CLI (
infsh). Install instructions
infsh login
# Generate a scene for an explainer
infsh app run google/veo-3-1-fast --input '{
"prompt": "Clean motion graphics style animation, abstract data flowing between connected nodes, blue and white color scheme, professional corporate aesthetic, smooth transitions"
}'
| Section | Duration | Content | Word Count |
|---|---|---|---|
| Problem | 10s | State the pain point the viewer has | ~25 words |
| Agitate | 10s | Show why it's worse than they think | ~25 words |
| Solution | 15s | Introduce your product/idea | ~35 words |
| How It Works | 20s | Show 3 key steps or features | ~50 words |
| CTA | 5s | One clear next action | ~12 words |
| Section | Duration | Content |
|---|---|---|
| Before | 15s | Show the current frustrating state |
| After | 15s | Show the ideal outcome |
| Bridge | 40s | Explain how your product gets them there |
| Social Proof | 10s | Quick stat or testimonial |
| CTA | 10s | Clear next step |
| Section | Duration | Content |
|---|---|---|
| Hook | 3s | Surprising fact or question |
| Feature | 15s | Show one feature solving one problem |
| Result | 7s | The outcome/benefit |
| CTA | 5s | Try it / Learn more |
| Content Type | Words Per Minute | Notes |
|---|---|---|
| Standard narration | 150 wpm | Conversational pace |
| Complex/technical | 120 wpm | Allow processing time |
| Energetic/social | 170 wpm | Faster for short-form |
| Children's content | 100 wpm | Clear and slow |
Key rule: 1 scene per key message. Don't pack multiple ideas into one visual.
# Product in context
infsh app run google/veo-3-1-fast --input '{
"prompt": "Clean product demonstration video, hands typing on a laptop showing a dashboard interface, bright modern office, soft natural lighting, professional"
}'
# Abstract concept visualization
infsh app run bytedance/seedance-1-5-pro --input '{
"prompt": "Abstract motion graphics, colorful data streams connecting floating geometric shapes, smooth fluid animation, dark background with glowing elements, tech aesthetic"
}'
# Lifestyle/outcome shot
infsh app run google/veo-3-1-fast --input '{
"prompt": "Happy person relaxing on couch with laptop, smiling at screen, bright airy living room, warm afternoon light, satisfied customer feeling, lifestyle commercial style"
}'
# Before/after comparison
infsh app run falai/flux-dev-lora --input '{
"prompt": "Split screen comparison, left side cluttered messy desk with papers and stress, right side clean organized minimalist workspace, dramatic difference, clean design"
}'
# Generate a still frame first
infsh app run falai/flux-dev-lora --input '{
"prompt": "Professional workspace with glowing holographic interface, futuristic but clean, blue accent lighting"
}'
# Animate it
infsh app run falai/wan-2-5-i2v --input '{
"prompt": "Gentle camera push in, holographic elements subtly floating and rotating, soft ambient light shifts",
"image": "path/to/workspace-still.png"
}'
# Professional narration with Dia TTS
infsh app run falai/dia-tts --input '{
"prompt": "[S1] Tired of spending hours on reports that nobody reads? There is a better way. Meet DataFlow. It turns your raw data into visual stories... in seconds. Just connect your source, pick a template, and share. Try DataFlow free today."
}'
| Technique | Effect | Example |
|---|---|---|
Period . |
Medium pause | "This changes everything. Here's how." |
Ellipsis ... |
Long pause (dramatic) | "And the result... was incredible." |
Comma , |
Short pause | "Fast, simple, powerful." |
Exclamation ! |
Emphasis/energy | "Start building today!" |
Question ? |
Rising intonation | "What if there was a better way?" |
# Generate background music
infsh app run <music-gen-app> --input '{
"prompt": "upbeat corporate background music, modern electronic, 90 BPM, positive and professional, no vocals, suitable for product explainer video"
}'
# 1. Generate voiceover
infsh app run falai/dia-tts --input '{
"prompt": "[S1] Your script here..."
}'
# 2. Generate scene visuals (in parallel)
infsh app run google/veo-3-1-fast --input '{"prompt": "scene 1 description"}' --no-wait
infsh app run google/veo-3-1-fast --input '{"prompt": "scene 2 description"}' --no-wait
infsh app run google/veo-3-1-fast --input '{"prompt": "scene 3 description"}' --no-wait
# 3. Merge scenes into sequence
infsh app run infsh/media-merger --input '{
"media": ["scene1.mp4", "scene2.mp4", "scene3.mp4"]
}'
# 4. Add voiceover to video
infsh app run infsh/video-audio-merger --input '{
"video": "merged-scenes.mp4",
"audio": "voiceover.mp3"
}'
# 5. Add captions
infsh app run infsh/caption-videos --input '{
"video": "final-with-audio.mp4",
"caption_file": "captions.srt"
}'
| Format | Length | Platform |
|---|---|---|
| Social teaser | 15-30s | TikTok, Instagram Reels, YouTube Shorts |
| Product demo | 60-90s | Website, landing page |
| Feature explainer | 90-120s | YouTube, email |
| Tutorial/walkthrough | 2-5min | YouTube, help center |
| Investor pitch video | 2-3min | Pitch deck supplement |
| Transition | When to Use | Effect |
|---|---|---|
| Cut | Default between related scenes | Clean, professional |
| Dissolve/Crossfade | Time passing, mood shift | Soft, contemplative |
| Wipe | New topic or section | Clear separation |
| Zoom/Push | Drilling into detail | Focus attention |
| Match cut | Visual similarity between scenes | Clever, memorable |
| Mistake | Problem | Fix |
|---|---|---|
| Script too wordy | Voiceover rushed, viewer overwhelmed | Cut to 150 wpm max |
| No hook in first 3s | Viewers leave immediately | Start with the problem or surprising stat |
| Visuals lag narration | Confusing disconnect | Visuals should match or slightly precede words |
| Background music too loud | Can't hear narration | Duck music 6-12dB under voice |
| No captions | 85% of social video watched silent | Always add captions |
| Too many ideas | Viewer retains nothing | One core message per video |
npx skills add inference-sh/skills@ai-video-generation
npx skills add inference-sh/skills@video-prompting-guide
npx skills add inference-sh/skills@text-to-speech
npx skills add inference-sh/skills@prompt-engineering
Browse all apps: infsh app list
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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explainer-video-guide is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in explainer-video-guide — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
explainer-video-guide fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend explainer-video-guide for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: explainer-video-guide is focused, and the summary matches what you get after install.
We added explainer-video-guide from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
explainer-video-guide fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
explainer-video-guide fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
explainer-video-guide reduced setup friction for our internal harness; good balance of opinion and flexibility.
explainer-video-guide has been reliable in day-to-day use. Documentation quality is above average for community skills.
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