A hosted service workflow for producing finished promotional videos from a product, brand, or photo. Pexo creates the hook, shot sequence, models, music, and pacing, then renders the video.

Use it to create video ads for Meta, TikTok, or YouTube, including sending a brief, tracking the render, and delivering the finished result.

It handles the creative production work and delivery process when you need a ready-to-run advertisement.

video-ad — Skill for Claude Code and Codex by pexoai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add pexoai/pexo-skills --skill video-ad

Clone the repo

git clone --depth 1 https://github.com/pexoai/pexo-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/pexoai/pexo-skills/video-ad/github.svg)](https://agentmods.dev/skills/pexoai/pexo-skills/video-ad)

Your own site

<a href="https://agentmods.dev/skills/pexoai/pexo-skills/video-ad"><img src="https://agentmods.dev/badge/skills/pexoai/pexo-skills/video-ad/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/pexoai/pexo-skills/video-ad"><img src="https://agentmods.dev/badge/skills/pexoai/pexo-skills/video-ad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,412 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin 84% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00102	$0.01412
Opus 5	$0.00051	$0.00706
Sonnet 5	$0.00020	$0.00282
Haiku 4.5	$0.00010	$0.00141

Measured 12d ago against content hash 6d9a92b577be, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

video-ad scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/_common.sh, scripts/pexo-asset-get.sh, scripts/pexo-chat.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

runtime: [curl, jq, file]

Origin

This is a copy

84% identical to ai-video-generation — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/video-ad/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Ad — Pexo

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

Produce a finished, ready-to-run video ad. You hand the user's product or brief to the hosted Pexo agent and deliver the result — Pexo writes the hook, sequences the shots, picks the models, and sets music and pacing built to convert.

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.

Create a project: pexo-project-create.sh "<short brief>" → save the project_id.
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.
Send the request: pexo-chat.sh <project_id> "<user's exact words> <asset tags>". Copy the user's words exactly; only add asset tags.
Tell the user (their language): submitted ✓ · ~15–20 min · https://pexo.ai/project/<project_id>.
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.

Read the full file on GitHub · 108 lines

Files

What ships with it

12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 108 lines · 102 tokens per session scan A 6d9a92b577be

Subscribe to this mod's changes

video-ad is a skill published in the GitHub repository pexoai/pexo-skills (774 stars, last pushed 23d ago), licensed MIT. It adds 102 tokens to every session and 1,412 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 84% identical to ai-video-generation, differing in 26 lines, and is treated as a copy.

Creative and media Marketing and SEO

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

video-ad