Agent skill

Gpt Image Slide Render

by humantonylee in humantonylee/future-slide

Render slide images sequentially from DESIGN.md and slide prompt JSON using Codex native image generation, saving each output into the workspace with page-number filenames.

Apache-2.0Auto-check passedMedia & Creative

Install Gpt Image Slide Render

skills CLI
$ npx skills add humantonylee/future-slide --skill gpt-image-slide-render -a claude-code

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

GitHub CLI
$ gh skill install humantonylee/future-slide gpt-image-slide-render --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/humantonylee/future-slide.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gpt-image-slide-render .claude/skills/gpt-image-slide-render && 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
gpt-image-slide-render
GitHub stars
150
Token cost
~966 tokens
SKILL.md length
540 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
Apache-2.0

At a glance

Render slide images sequentially from DESIGN.md and slide prompt JSON using Codex native image generation, saving each output into the workspace with page-number filenames.

  • Works in 6 steps: Read DESIGN.md first. → Read the prompt JSON file and confirm… → Generate slides one by one, in… → …
  • Tasks that involve Slides and decks
  • SKILL.md covers Primary goal, Required workflow, Hard rules and Prompt-construction rules, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Gpt Image Slide Render is an agent skill from humantonylee/future-slide. Render slide images sequentially from DESIGN.md and slide prompt JSON using Codex native image generation, saving each output into the workspace with page-number filenames.

Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Slides and decks, Image generation and Design tokens. The repository describes itself as: The workflow for disciplined slide generation. Extract design, plan the deck, render with consistency. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Slides and decks
  • Tasks that involve Image generation
  • Tasks that involve Design tokens

Example prompts

  • “/gpt-image-slide-render”

Workflow steps

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

  1. Read DESIGN.md first.
  2. Read the prompt JSON file and confirm slide count and page order.
  3. Generate slides one by one, in slide-number order.
  4. After each generation
  5. Continue until every requested page is generated and saved.
  6. Report the saved file paths.

What it can do on your machine

Read from SKILL.md and the folder at commit 26914e8. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Gpt Image Slide Render loads about 966 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 540 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~966

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from humantonylee/future-slide at commit 26914e8, republished under its Apache-2.0 licence (© humantonylee). 540 words, ~966 tokens.

Download SKILL.mdSave it as .claude/skills/gpt-image-slide-render/SKILL.md (or your agent's skills folder).
name
gpt-image-slide-render
description
Render slide images sequentially from DESIGN.md and slide prompt JSON using Codex native image generation, saving each output into the workspace with page-number filenames.

GPT IMAGE SLIDE RENDER — RENDER PAGE IMAGES FROM DESIGN.md + PROMPT JSON

You are a slide production operator. Your job is to take:

  • DESIGN.md
  • a page-level slide prompt JSON file such as slide_prompts.json

and generate final slide images one page at a time using Codex native image generation.

Primary goal

Produce all requested slide images sequentially and save them into the current project using a stable page-number naming rule such as:

  • page_1.png
  • page_2.png
  • page_3.png

Do not stop after generating only inline previews. If the slides are meant for the project, copy the final selected images into the workspace.

Required workflow

  1. Read DESIGN.md first.
  2. Read the prompt JSON file and confirm slide count and page order.
  3. Generate slides one by one, in slide-number order.
  4. After each generation:
    • inspect the generated image
    • verify it matches the intended layout family, page family, and major text/content structure
    • copy the chosen generated image from Codex's default generated-images directory into the workspace
    • save it using the page-number naming rule
  5. Continue until every requested page is generated and saved.
  6. Report the saved file paths.

Hard rules

  • Use Codex native image generation, not a custom OpenAI SDK runner.
  • Do not batch all prompts into one generation call.
  • Do not skip visual inspection between pages.
  • Do not leave the final project asset only in Codex's generated-images cache.
  • Do not overwrite unrelated existing files.
  • If regenerating an existing page, overwrite only that page file unless the user asked for versioning.
  • Keep page numbering exactly aligned with the prompt JSON.

Prompt-construction rules

When converting each slide prompt entry into an image-generation prompt:

  • preserve the page family: title, body, end, or appendix
  • preserve the layout family named in the prompt JSON
  • preserve header / body / footer zoning explicitly
  • preserve table-led vs chart-led vs card-led vs diagram-led hierarchy explicitly
  • preserve icon rules and infographic rules from the JSON
  • preserve anti-pattern bans

Do not collapse a table-led research slide into a marketing card layout. Do not collapse a comparison slide into a generic four-box template. Do not improvise imagery if the slide is specified as table-led or text/chart-led only.

Show full SKILL.md (191 more words)Show less

Verification checklist per slide

Before accepting a generated page:

  1. Is the page number correct?
  2. Does the major composition match the intended layout family?
  3. Are the header, body, and footer zones visibly separated as planned?
  4. Does the slide follow the deck's design system?
  5. Are icons absent/minimal/present according to the prompt?
  6. Does the slide avoid the listed anti-patterns?
  7. Is the text legible enough for the intended use?

If not, regenerate that page before moving to the next.

Output behavior

  • Save the final selected images in the current workspace.
  • Use page_<n>.png by default.
  • If the prompt JSON clearly implies a different extension or the tool output is not PNG, still normalize to a project-safe final asset naming rule unless the user explicitly asked otherwise.

Example save contract

If the prompt JSON contains 5 slides, the final outputs should be:

  • page_1.png
  • page_2.png
  • page_3.png
  • page_4.png
  • page_5.png

Final completion rule

You are not done when the images are merely generated. You are done only when:

  • every requested page has been generated
  • every page has been visually checked
  • every page has been copied into the workspace with the correct numbered filename

© humantonylee, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/gpt-image-slide-render of humantonylee/future-slide.

Open the folder on GitHubat commit 26914e8

Compare with similar skills

Gpt Image Slide Render 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.

Gpt Image Slide Render compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gpt Image Slide Render this skillhumantonylee/future-slide150—~966Automated safety check: PassApache-2.0
Orange Line Illustrationorange2ai/orange-line-illustration441—~2.5kAutomated safety check: PassProprietary
CarouselsTheCraigHewitt/skills159—~2.3kAutomated safety check: PassMIT
Epub2podcast Gpt Imagedracohu2025-cloud/draco-skills-collection227—~1.9kAutomated safety check: PassMIT
Canva Designerasgeirtj/system_prompts_leaks69k—~2.1kAutomated safety check: PassCC0-1.0
Brand and Design Toolkitnextlevelbuilder/ui-ux-pro-max-skill134k1 repos~3.5kAutomated safety check: PassMIT

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Questions about Gpt Image Slide Render

What does Gpt Image Slide Render do?

Render slide images sequentially from DESIGN.md and slide prompt JSON using Codex native image generation, saving each output into the workspace with page-number filenames. Gpt Image Slide Render is an agent skill from humantonylee/future-slide.md and slide prompt JSON using Codex native image generation, saving each output into the workspace with page-number filenames.

When should I use Gpt Image Slide Render?

Gpt Image Slide Render fits situations like: tasks that involve Slides and decks; tasks that involve Image generation; tasks that involve Design tokens.

How do I install Gpt Image Slide Render in Claude Code?

Run `npx skills add humantonylee/future-slide --skill gpt-image-slide-render -a claude-code`. Or copy the skill folder (skills/gpt-image-slide-render in humantonylee/future-slide) into .claude/skills/gpt-image-slide-render in your project. Claude Code loads it when a task matches its description.

How do I install Gpt Image Slide Render in Codex?

Run `npx skills add humantonylee/future-slide --skill gpt-image-slide-render -a codex`. Or copy the skill folder (skills/gpt-image-slide-render in humantonylee/future-slide) into .agents/skills/gpt-image-slide-render in your project. Codex loads it when a task matches its description.

Can I use Gpt Image Slide Render 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 humantonylee/future-slide --skill gpt-image-slide-render -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gpt-image-slide-render, .gemini/skills/gpt-image-slide-render, .github/skills/gpt-image-slide-render and .opencode/skills/gpt-image-slide-render in your project.

What does Gpt Image Slide Render need to run?

SKILL.md names no scripts, command-line tools or credentials: Gpt Image Slide Render is instructions for the agent only.

Does Gpt Image Slide Render access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Gpt Image Slide Render 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. Review the folder before installing.

What licence does Gpt Image Slide Render use?

Gpt Image Slide Render is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gpt Image Slide Render use?

About 966 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Gpt Image Slide Render?

Skills that share tags, products or a category with Gpt Image Slide Render: Orange Line Illustration (orange2ai/orange-line-illustration, 441 stars), Carousels (TheCraigHewitt/skills, 159 stars), Epub2podcast Gpt Image (dracohu2025-cloud/draco-skills-collection, 227 stars) and Canva Designer (asgeirtj/system_prompts_leaks, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gpt Image Slide Render?

humantonylee (a GitHub user) maintains it in humantonylee/future-slide, which has 150 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on June 2, 2026.

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