Agent skill

Explainer Video

by pexoai in pexoai/pexo-skills

Create an explainer video with narration using Pexo. An agent skill from pexoai/pexo-skills.

MITAuto-check passedMedia & Creative

Install Explainer Video

skills CLI
$ npx skills add pexoai/pexo-skills --skill explainer-video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install pexoai/pexo-skills explainer-video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/pexoai/pexo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/explainer-video .claude/skills/explainer-video && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
explainer-video
GitHub stars
801
Token cost
~1.3k tokens
SKILL.md length
530 words
Files
13 (incl. scripts, references)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Create an explainer video with narration using Pexo. An agent skill from pexoai/pexo-skills.

  • Works in 5 steps: Create a project: pexo-project-create.sh… → Upload any files the user gave:… → Send the request: pexo-chat.sh " ". → …
  • Explainer/tutorial content: explainer video
  • SKILL.md covers Your role: relay, don't create, Config, Workflow and Revisions, plus 3 more sections
  • Runs Shell scripts from its folder; reaches pexo.ai; needs PEXO_API_KEY

What it does

Explainer Video is an agent skill from pexoai/pexo-skills. 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).

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `README.md`, `references/SETUP-CHECKLIST.md` and `references/TROUBLESHOOTING.md`).

It sits in Media & Creative, covering Video production and Text to speech and voice. The repository describes itself as: A collection of open-source Agent Skills for content creation — images, audio, and video. The licence is MIT.

When your agent uses it

  • Explainer/tutorial content: explainer video
  • Explain this as a video
  • How it works video

Example prompts

  • “explainer video”
  • “explain this as a video”
  • “tutorial video”
  • “/explainer-video”

Requirements

  • A Bash shell
  • A credential in PEXO_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Create a project: pexo-project-create.sh "" → save the project_id.
  2. Upload any files the user gave: pexo-upload.sh → save asset_id,
  3. Send the request: pexo-chat.sh " ".
  4. Tell the user (their language): submitted ✓ · ~15–20 min · https://pexo.ai/project/.
  5. Poll: every ≥60s run pexo-project-get.sh and act on nextAction

What it can do on your machine

Read from SKILL.md and the folder at commit f724267. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 9 files in scripts/ (Shell), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • pexo.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • PEXO_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Explainer Video loads about 1.3k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 530 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from pexoai/pexo-skills at commit f724267, republished under its MIT licence (© pexoai). 530 words, ~1,306 tokens.

Download SKILL.mdSave it as .claude/skills/explainer-video/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.
name
explainer-video
description
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).
homepage
https://pexo.ai
repository
https://github.com/pexoai/pexo-skills
version
0.1.0
requires.env
PEXO_API_KEY, PEXO_BASE_URL
requires.runtime
curl, jq, file
metadata.author
pexoai

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.
Show full SKILL.md (127 more words)Show less

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.

© pexoai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 12 other files (scripts, references) in skills/explainer-video of pexoai/pexo-skills.

  • SKILL.md
  • README.md
  • references/SETUP-CHECKLIST.md
  • references/TROUBLESHOOTING.md
  • scripts/_common.sh
  • scripts/pexo-asset-get.sh
  • scripts/pexo-chat.sh
  • scripts/pexo-doctor.sh
  • scripts/pexo-entitlements.sh
  • scripts/pexo-project-create.sh
  • scripts/pexo-project-get.sh
  • scripts/pexo-project-list.sh
  • scripts/pexo-upload.sh

Open the folder on GitHubat commit f724267

Compare with similar skills

Explainer Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Explainer Video compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Explainer Video this skillpexoai/pexo-skills801—~1.3kAutomated safety check: PassMIT
DaVinci AutoEdit Agentliuluhaixiu/DaVinci-AutoEdit-Agent481—~2.8kAutomated safety check: NotesMIT
Ergo Remotion Videoitwanger/toBeBetterJavaer18k—~1.1kAutomated safety check: PassNone
Agent Video PipelineJayceHuang/agent-video-pipeline103—~1.8kAutomated safety check: PassMIT
Ig ReelJakeschincariol/instagram-agent-skill6151 repos~1.6kAutomated safety check: PassMIT
Paper Collage Explainer Generatortl2012tl/comfyUI-llama-TE2394 repos~5.2kAutomated safety check: PassNone

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Questions about Explainer Video

What does Explainer Video do?

Create an explainer video with narration using Pexo. An agent skill from pexoai/pexo-skills. Explainer Video is an agent skill from pexoai/pexo-skills. Create an explainer video with narration using Pexo.

When should I use Explainer Video?

Explainer Video fits situations like: explainer/tutorial content: explainer video; explain this as a video; how it works video.

How do I install Explainer Video in Claude Code?

Run `npx skills add pexoai/pexo-skills --skill explainer-video -a claude-code`. Or copy the skill folder (skills/explainer-video in pexoai/pexo-skills) into .claude/skills/explainer-video in your project. Claude Code loads it when a task matches its description.

How do I install Explainer Video in Codex?

Run `npx skills add pexoai/pexo-skills --skill explainer-video -a codex`. Or copy the skill folder (skills/explainer-video in pexoai/pexo-skills) into .agents/skills/explainer-video in your project. Codex loads it when a task matches its description.

Can I use Explainer Video in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pexoai/pexo-skills --skill explainer-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/explainer-video, .gemini/skills/explainer-video, .github/skills/explainer-video and .opencode/skills/explainer-video in your project.

What does Explainer Video need to run?

Going by SKILL.md and its folder, Explainer Video needs a shell for the scripts in its folder and credentials named PEXO_API_KEY. Our summary lists: A Bash shell; A credential in PEXO_API_KEY.

Does Explainer Video access the network?

SKILL.md names 1 domain. In commands or code: pexo.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Explainer Video safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Explainer Video use?

Explainer Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Explainer Video use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.7k tokens, read only when the agent opens those files.

What are the alternatives to Explainer Video?

Skills that share tags, products or a category with Explainer Video: DaVinci AutoEdit Agent (liuluhaixiu/DaVinci-AutoEdit-Agent, 481 stars), Ergo Remotion Video (itwanger/toBeBetterJavaer, 18k stars), Agent Video Pipeline (JayceHuang/agent-video-pipeline, 103 stars) and Ig Reel (Jakeschincariol/instagram-agent-skill, 615 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Explainer Video?

pexoai (a GitHub user) maintains it in pexoai/pexo-skills, which has 801 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on August 20, 2026.

Source: pexoai/pexo-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.