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okaris

Explainer Video Guide

by Ömer Karışman · GitHub ↗ · v0.1.5
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Install in OpenClaw
/install explainer-video-guide
Description
Explainer video production guide: scripting, voiceover, visuals, and assembly. Covers script formulas, pacing rules, scene planning, and multi-tool pipelines...
README (SKILL.md)

Explainer Video Guide

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

Quick Start

curl -fsSL https://cli.inference.sh | sh && 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"
}'

Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

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 \x3Cmusic-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

Usage Guidance
This skill is coherent with its purpose (video-production recipes that call a third‑party CLI). Before installing or running the suggested curl | sh, verify the authenticity of cli.inference.sh and its checksums (prefer manual download + verify SHA-256). Be cautious of running pipe-to-shell installs and of granting the external service account access (infsh login) — review what data (video frames, audio, scripts) will be uploaded and what permissions the API key/session grants. If you prefer lower risk, follow the manual install & verification links in the SKILL.md or use local tooling you already trust.
Capability Analysis
Type: OpenClaw Skill Name: explainer-video-guide Version: 0.1.5 The skill is classified as suspicious primarily due to the `curl -fsSL https://cli.inference.sh | sh` command found in `SKILL.md`. While this is a common method for installing CLI tools, it represents a significant supply chain vulnerability, as it executes remote code directly without prior inspection. If the `inference.sh` domain or its distribution server were compromised, this could lead to arbitrary code execution on the user's system. Although the skill's stated purpose and all other `infsh` commands appear benign and aligned with video production, this installation method introduces an unacceptable level of risk.
Capability Assessment
Purpose & Capability
The name and description (explainer video production: scripting, voiceover, visuals, assembly) align with the SKILL.md content: pacing rules, scene templates, TTS and model examples. The runtime examples all call infsh model runs, which is coherent with the stated multi-tool pipeline focus.
Instruction Scope
Instructions stay within video production scope (script formulas, scene prompts, TTS pacing, image->video workflows). They do instruct the agent/user to install and use the infsh CLI and to run infsh login, which implies contacting an external service and providing credentials; those credentials are neither declared in requires.env nor explained. The SKILL.md references local paths for images (e.g., path/to/workspace-still.png) which is expected for content pipelines.
Install Mechanism
The guide recommends running curl -fsSL https://cli.inference.sh | sh (pipe-to-shell) and downloading a binary from dist.inference.sh. Pipe-to-shell installs are high-risk because they execute remote code immediately. The SKILL.md claims checksum verification and links to a checksums file, but the instructions still direct an unattended pipe-to-sh flow rather than a manual, verifiable install. The install source is a third‑party domain rather than a widely-known release host; this increases risk and warrants manual verification before running.
Credentials
The skill declares no required env vars or credentials, which is consistent with being instruction-only. However, it instructs the user to run infsh login (implying account/API credentials) but does not document what credentials or scopes are needed. That omission is not necessarily malicious, but users should expect to provide/authorize external service credentials when using the CLI and should confirm what data is uploaded to the service.
Persistence & Privilege
No install spec, no code files, always:false, and no requests to modify other skills or system-wide configs. The skill does not request persistent system presence or elevated privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install explainer-video-guide
  3. After installation, invoke the skill by name or use /explainer-video-guide
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.5
- Added a comprehensive guide for producing explainer videos, covering scripting, voiceover, visuals, and assembly. - Included script structure templates (PAS, BAB, Feature Spotlight) with timing and word count guidance. - Detailed pacing rules, scene planning, and transition types for clear, effective production. - Provided prompt examples for generating various visual scenes and step-by-step CLI-based workflow instructions. - Added tips and commands for generating voiceover and background music. - Outlined a full CLI assembly pipeline for combining visuals, audio, and captions.
v0.1.0
Initial release for explainer-video-guide. - Provides a comprehensive guide for explainer video production, covering scripting, voiceover, visuals, and assembly. - Includes detailed script formulas (PAS, BAB, Feature Spotlight) with duration and word count guidelines. - Outlines pacing rules, visual scene types, and practical prompts for video generation using inference.sh CLI. - Offers tips and tools for voiceover generation, background music, and audio mixing. - Describes a step-by-step production workflow with multi-tool pipelines. - Lists best practices, common mistakes, and format guidelines for various video types and platforms.
Metadata
Slug explainer-video-guide
Version 0.1.5
License
All-time Installs 2
Active Installs 2
Total Versions 2
Frequently Asked Questions

What is Explainer Video Guide?

Explainer video production guide: scripting, voiceover, visuals, and assembly. Covers script formulas, pacing rules, scene planning, and multi-tool pipelines... It is an AI Agent Skill for Claude Code / OpenClaw, with 769 downloads so far.

How do I install Explainer Video Guide?

Run "/install explainer-video-guide" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Explainer Video Guide free?

Yes, Explainer Video Guide is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Explainer Video Guide support?

Explainer Video Guide is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Explainer Video Guide?

It is built and maintained by Ömer Karışman (@okaris); the current version is v0.1.5.

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