explainer-video-guide

Create explainer videos from script to final cut via inference.sh CLI.

inference-sh/skillsUpdated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/inference-sh/skills --skill explainer-video-guide

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Installation Guide

How to use explainer-video-guide on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add explainer-video-guide
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/inference-sh/skills --skill explainer-video-guide

Fetches explainer-video-guide from inference-sh/skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/explainer-video-guide

Restart Cursor to activate explainer-video-guide. Access via /explainer-video-guide in your agent's command palette.

Security Notice

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.

Documentation

Explainer Video Guide

Create explainer videos from script to final cut via inference.sh CLI.

Quick Start

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"
}'

Script Formulas

Problem-Agitate-Solve (PAS) — 60 seconds

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

Before-After-Bridge (BAB) — 90 seconds

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

Feature Spotlight — 30 seconds (social)

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

Pacing Rules

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.

Scene Duration Guidelines

  • Establishing shot: 3-5 seconds
  • Feature demonstration: 5-8 seconds
  • Text/stat on screen: 3-4 seconds (must be readable)
  • Transition: 0.5-1 second
  • CTA screen: 3-5 seconds

Visual Production

Scene Types

# 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"
}'

Image-to-Video for Scenes

# 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"
}'

Voiceover Production

Script Writing Tips

  • Short sentences. Max 15 words per sentence.
  • Active voice. "You can track your data" not "Your data can be tracked."
  • Conversational tone. Read it aloud — if it sounds stiff, rewrite.
  • One idea per sentence. One sentence per visual beat.

Generating Voiceover

# 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."
}'

Pacing Control in TTS

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?"

Music & Audio

Background Music Guidelines

  • Volume: 20-30% under narration (duck 6-12dB when voice plays)
  • Style: match the brand tone (corporate = ambient electronic, startup = upbeat indie)
  • Structure: intro swell (first 3s) -> subtle loop under narration -> swell at CTA
  • No vocals: instrumental only under narration
# 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"
}'

Assembly Pipeline

Full Production Workflow

# 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"
}'

Video Length by Format

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 Types

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

Common Mistakes

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

Related Skills

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

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.554 reviews
  • I
    Isabella DialloDec 28, 2024

    explainer-video-guide fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • M
    Mei LiuDec 20, 2024

    explainer-video-guide is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • A
    Anika MalhotraDec 12, 2024

    I recommend explainer-video-guide for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • K
    Kofi GonzalezDec 12, 2024

    Solid pick for teams standardizing on skills: explainer-video-guide is focused, and the summary matches what you get after install.

  • A
    Arjun LiuDec 8, 2024

    We added explainer-video-guide from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • E
    Evelyn RaoNov 15, 2024

    explainer-video-guide fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • M
    Mei FarahNov 11, 2024

    explainer-video-guide reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • L
    Li VermaNov 7, 2024

    We added explainer-video-guide from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • F
    Fatima TaylorNov 3, 2024

    Solid pick for teams standardizing on skills: explainer-video-guide is focused, and the summary matches what you get after install.

  • O
    Olivia SmithNov 3, 2024

    I recommend explainer-video-guide for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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