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@bytonylee bytonylee released this 23 Apr 11:06
· 133 commits to dev since this release
0.0.1
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Future Slide Skill 0.0.1

Initial public release of the Future Slide skill bundle for Codex.

This release packages a disciplined slide-generation workflow that separates design extraction, deck planning, page-level prompting, and sequential image generation. The goal is to keep generated decks consistent across pages instead of letting each slide drift into a different generic layout.

Highlights

  • Adds a staged workflow for creating slide decks from reference visuals, user files, and a deck request.
  • Extracts reusable slide design rules into DESIGN.md before planning or generation begins.
  • Plans deck structure in JSON before writing page-level prompts.
  • Writes strict per-slide prompt JSON with layout, hierarchy, table, chart, icon, infographic, and footer constraints.
  • Generates final slide images one page at a time with stable page-numbered filenames.
  • Includes a design-system template and a visual workflow diagram.

Included skills

future-slide

Provides the orchestration contract for the workflow. It enforces the order of design extraction, deck planning, and page-prompt generation so the model does not skip directly into slide writing before the visual system is defined.

gpt-slide-design

Converts reference slide images into a reusable DESIGN.md.

The skill focuses on visual language rather than slide content: palette, typography, spacing, headers, body zones, footers, chart/table treatment, icon behavior, infographic cards, diagram flow, and repeatable body-slide rules.

gpt-slide-plan

Builds the deck logic before page prompts are written.

It uses DESIGN.md, user files, and the user's goal to choose page order, narrative flow, evidence placement, page families, and layout families. It is designed to avoid simple file-order summaries and instead produce a persuasive deck structure.

gpt-slide-prompt

Turns DESIGN.md and slide_plan.json into detailed page-by-page prompt JSON.

Each slide prompt describes the objective, narrative function, content blocks, layout zones, design constraints, content constraints, and generation notes so downstream image generation has less room to improvise generic slide layouts.

gpt-slide-generate

Renders slide images sequentially from DESIGN.md and slide_prompts.json.

It requires page-by-page generation, visual inspection, and saving outputs into the project with stable names such as page_1.png, page_2.png, and page_N.png.

Documentation and assets

  • Adds the main README with workflow explanation, examples, expected artifacts, and installation pattern.
  • Adds templates/DESIGN_TEMPLATE.md as a scaffold for consistent design extraction output.
  • Adds public/four-skill-flow.png as the workflow diagram used by the README.
  • Adds repository ignore rules for local runtime state, caches, and OS metadata.

Typical workflow

$gpt-slide-design [reference slide image]
$gpt-slide-plan /path/to/report.pdf Create a research-summary deck.
$gpt-slide-prompt
$gpt-slide-generate

Expected artifact chain:

  1. DESIGN.md
  2. slide_plan.json
  3. slide_prompts.json
  4. page_1.png ... page_N.png

Release contents

The 0.0.1 tag points to the initial packaged skill bundle commit. Later documentation polish, including Korean README, Apache-2.0 license file, navigation links, and expanded installation guidance, is available on the main and dev branches after this tag.

Notes

This is the first release, so the focus is on packaging the skill workflow, documentation, and reusable prompts. There is no application runtime or automated test harness in this repository yet.

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