---
title: "Codex PPT: image-based slides with GPT Image 2.5 — AI video generator workflow for explainers"
description: "Turns an article, report or notes into a full-page-image slide deck: outline and style approved first, then every slide generated as an image and assembled into Install in Claude Code, Codex and Grok with one command."
url: https://varg.ai/how-to/skills/codex-ppt-image-slides
updated: 2026-11-03
---

# Codex PPT: image-based slides with GPT Image 2.5 — workflow skill for explainers

> **For AI agents:** find the right skill in one call — `curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>"` returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the how-to page. From a terminal: `curl -fsSL https://varg.ai/install | sh` installs the vargai CLI (https://varg.ai/how-to/cli.md): `vargai search` and `vargai install <slug>` with no key, every varg model after `vargai login`.

Turns an article, report or notes into a full-page-image slide deck: outline and style approved first, then every slide generated as an image and assembled into

- **Type:** [Workflow](https://varg.ai/how-to/workflows.md) · [Explainers](https://varg.ai/how-to/browse/skills/explainers.md)
- **Slug:** `codex-ppt-image-slides`
- **Status:** live
- **Publisher:** ningzimu (community)
- **License:** MIT
- **Source:** https://github.com/ningzimu/codex-ppt-skill
- **Works in:** Codex, Claude Code
- **Requires:** an image model (Codex built-in, or gpt-image-2.5 via OpenAI-compatible API)
- **Adoption:** 7,565 GitHub stars (GitHub, 2026-11-02)

## What it does

Staged flow (outline.md, per-page points, style direction, sample slide) before full generation; works with Codex built-in image generation or an API/CLI fallback (OpenAI-compatible, gpt-image-2.5-flare). Keeps a personal style library outside the install folder. Sister skill image-to-editable-ppt converts results to editable slides.

## Use when

- visual-first decks where each slide is a designed image
- explainer carousels and pitch decks from long text

## Not for

- decks that must stay fully editable
- data-heavy charts

## Install

- Claude Code: `npx skills add ningzimu/codex-ppt-skill`
- Codex: `npx skills add ningzimu/codex-ppt-skill`
- Any agent, with the vargai CLI: `vargai install codex-ppt-image-slides`

**Models it drives:** gpt_image_2_5

## Example output

https://raw.githubusercontent.com/ningzimu/codex-ppt-skill/HEAD/assets/style-previews/creative-magazine.png — The creative-magazine slide style (README preview) (credit: ningzimu (README), https://github.com/ningzimu/codex-ppt-skill)

## More explainers skills

- [HyperFrames](https://varg.ai/how-to/skills/hyperframes.md): Turn HTML, CSS and seekable animation into deterministic MP4s: launch films, explainers, captions, title cards.
- [HyperFrames Slideshow](https://varg.ai/how-to/skills/hyperframes-slideshow.md): Build a live, navigable deck with fragment reveals, branching hotspots and presenter notes instead of an MP4.
- [Plain-Sight Explainer](https://varg.ai/how-to/skills/hyperframes-vox-explainer.md): 60–90 s collage explainers about everyday things, or mined from your documents and links, with numeric seam checks.
- [Remotion Create](https://varg.ai/how-to/skills/remotion-create.md): Scaffold a new Remotion project and lay the video out as clips or scenes before writing any frames.
- [Remotion Maps](https://varg.ai/how-to/skills/remotion-maps.md): Animate maps in Remotion: static maps, Mapbox, MapLibre, MapTiler and CesiumJS 3D flyovers.
- [Higgsfield Video Explainer](https://varg.ai/how-to/skills/higgsfield-video-explainer.md): Turn a topic or document into a narrated, stylized explainer assembled from 10-second voiced blocks.

## Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.

- Any agent with a terminal: `curl -fsSL https://varg.ai/install | sh` (Windows: `irm https://varg.ai/install.ps1 | iex`), then `vargai login` and every model is a command — `vargai generate_video …`, `vargai estimate_cost …` (https://varg.ai/how-to/cli/)
- Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` (skill + hosted MCP)
- Codex, Cursor, Gemini CLI, OpenClaw: `npx skills add vargHQ/skills --skill varg-ai -a <agent> -y`
- Grok and any agent that reads SKILL.md: `npx skills add vargHQ/skills --skill varg-ai`, or point it at the skill's SKILL.md
- Claude.ai, ChatGPT, any MCP client: connect `https://mcp.varg.ai/mcp`
- API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt