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Explainer Video

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pexoai
explainer-video

Create an explainer video with narration using Pexo. Describe your product, concept, or process and Pexo writes the script, generates visuals shot by shot, adds TTS voiceover and captions, and assembles a clear, finished explainer. Use for explainer/tutorial content: "explainer video", "explain this as a video", "tutorial video", "how it works video". NOT for ads or promos (use the video-ad skill).

Overview

Publisherpexoai
Repositorypexo-skills
Skill nameexplainer-video
Stars
800
Forks
46
Bundled files
11
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by pexoai on GitHub. Read the source before you install it.

Installation

Install the Explainer Video AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pexoai/pexo-skills/tree/main/skills/explainer-video
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/pexoai/pexo-skills.git /tmp/pexo-skills
mkdir -p .claude/skills
cp -r /tmp/pexo-skills/skills/explainer-video .claude/skills/explainer-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Explainer Video in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Explainer Video on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Explainer Video is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Explainer Video — Pexo

Pexo: https://pexo.ai — get an API key, watch your project render, and buy credits there.

Produce a clear, narrated explainer video. You relay the user's topic to the hosted Pexo agent and deliver the result; Pexo writes the script, generates the visuals shot by shot, and adds voiceover and captions.

Your role: relay, don't create

Create a project, send the user's request verbatim, poll, deliver. Pexo's backend handles all creative work — scriptwriting, model choice, prompts, music. Adding your own direction (duration, style, models the user didn't ask for) overrides its judgment and produces worse videos.

Config

~/.pexo/config:

PEXO_BASE_URL="https://pexo.ai"
PEXO_API_KEY="sk-<your-api-key>"

No account / first run → read references/SETUP-CHECKLIST.md and walk the user through it — it carries the signup flow with the invite code that grants new users bonus credits, plus how to create the config above. Config error → run scripts/pexo-doctor.sh and follow its output.

Workflow

Scripts live in this skill's scripts/. Reply to the user in their language.

  1. Create a project: pexo-project-create.sh "<short brief>" → save the project_id.
  2. Upload any files the user gave: pexo-upload.sh <project_id> <path> → save asset_id, reference it inline as <original-image>asset_id</original-image> (or <original-video> / <original-audio>). Tags are required — a bare asset_id is ignored. Pexo can't crawl URLs — download, then upload.
  3. Send the request: pexo-chat.sh <project_id> "<user's exact words> <asset tags>". Copy the user's words exactly; only add asset tags.
  4. Tell the user (their language): submitted ✓ · ~15–20 min · https://pexo.ai/project/<project_id>.
  5. Poll: every ≥60s run pexo-project-get.sh <project_id> and act on nextAction:
    • WAIT → keep polling; every ~5 polls send a one-line update with the project link.
    • RESPOND → handle each event in recentMessages: relay Pexo's text (wait for the user's answer if it asked, then pexo-chat.sh their reply); for preview_video, run pexo-asset-get.sh <project_id> <assetId> per option, show the URLs (A/B/C), let the user pick, then pexo-chat.sh <project_id> "<choice>" --choice <assetId>; for a document event, mention it to the user.
    • DELIVER → pexo-asset-get.sh <project_id> <final assetId>, then send the user the full asset URL as plain text — all ?… query params, never truncated or wrapped in markdown — plus the project link.
    • FAILED → explain nextActionHint in plain terms and offer to retry.
    • RECONNECT → pexo-chat.sh <project_id> "continue", tell the user the connection dropped and you're resuming, then keep polling.
    • Never call pexo-chat.sh during WAIT — it triggers duplicate production.
    • Taking too long → if it's been >30 min and still WAIT, tell the user (with the project link + https://pexo.ai/connect/openclaw) it's running long; ask whether to keep waiting or stop. Don't poll forever.

Revisions

After delivery, the user's tweaks ("make it shorter", "new music", "different shot") reuse the same project: pexo-chat.sh <project_id> "<their feedback>", then poll again (step 5). Never create a new project for a revision — it throws away Pexo's server-side context.

Credits

If a script fails with "Credits balance" / "Insufficient credits": if the error carries a purchase link, pass it to the user; otherwise tell them to add credits at https://pexo.ai/home → Credits → Buy Credits. Retry after they confirm.

Example

User: "Explain how our budgeting app works in a 60-second video."

bash
pid=$(pexo-project-create.sh "budgeting app explainer")
pexo-chat.sh "$pid" "Explain how our budgeting app works in a 60-second video."
# Tell the user: submitted, ~15–20 min, https://pexo.ai/project/$pid
# Poll pexo-project-get.sh "$pid" until nextAction is DELIVER, then deliver the asset URL.

Scripts

ScriptUsageReturns
pexo-project-create.sh"<brief>"project_id
pexo-upload.sh<project_id> <file>asset_id
pexo-chat.sh<project_id> "<message>" [--choice <id>]ack (async)
pexo-project-get.sh<project_id>JSON: nextAction, recentMessages
pexo-asset-get.sh<project_id> <asset_id>JSON with url
pexo-doctor.sh—setup diagnostic

Error codes and edge cases → references/TROUBLESHOOTING.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Explainer Video AI skill do?

Create an explainer video with narration using Pexo. Describe your product, concept, or process and Pexo writes the script, generates visuals shot by shot, adds TTS voiceover and captions, and assembles a clear, finished explainer. Use for explainer/tutorial content: "explainer video", "explain this as a video", "tutorial video", "how it works video". NOT for ads or promos (use the video-ad skill).

Why use Explainer Video on TypingMind?

Because you install it once and use it with any model. Explainer Video is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Explainer Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pexoai/pexo-skills/tree/main/skills/explainer-video. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Explainer Video?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Explainer Video?

As many as you like. As long as a model supports skills, you can use Explainer Video with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Explainer Video AI skill free?

Yes. It is published on GitHub by pexoai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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