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reports-pdfs-and-slide-automation

Package data-rich figures into a reproducible report, PDF or slide deliverable rather than exporting an unexplained dashboard screenshot.

openai/pluginsplugins/build-web-data-visualization/skills/reports-pdfs-and-slide-automation/SKILL.md

Before you use it

Input
The target medium, decision or claim, data and source notes, figure inventory, final slot sizes, accessibility needs and regeneration requirements.
Expected output
A defined asset set and document layout with deterministic figure dimensions, captions, source and alternative-text metadata, plus a path to rebuild the package when data changes.
Prerequisites
Choose the actual export toolchain separately; the source lists browser PDF, PDF libraries, pptxgenjs and the Google Slides API as possible paths, not installed capabilities. Four local references were read, but the many linked foundation and adjacent Skill files were not. No report, image, PDF or deck was generated here.

Client setup and runtime behavior are not verified here; client installation is not individually established. The use notes below describe source preparation, inputs and limits.

Publisher documentation, static file observations and environment tests are different kinds of evidence. Runtime behavior has not been observed.

Use this method

Source-based preparation, not an installation or a completed run. Nothing is executed here.

Good fit for
Reports, PDFs or slide decks whose figures and narrative need an explicit, repeatable packaging and regeneration workflow.
Not for / limits
Not an installed document generator, a general dashboard export or a guarantee of print and office-suite fidelity. Linked foundation methods, external tools and APIs were not fully reviewed or executed, and screenshots may lose regeneration and semantic structure.
Prepare
Name the target medium and the decision or claim first, then inventory each meaningful figure with its data source, final slot, caption, caveat and alternative-text needs.
Apply
Build durable SVG, PNG or PDF assets at intentional dimensions, select an available HTML, PDF or slide toolchain, and keep source notes and captions separable from raster images when possible.
Check
Compose and inspect the final page or slide size, verify annotations and page breaks, and prove that updated data can regenerate both the assets and document package without manual patching.
Sources read for this note

These exact files were read as text at the displayed commit. Other files and external tools were not reviewed. A repository LICENSE observation does not confirm Skill-specific applicability or dependency rights.

Study the method

Compare HTML-first PDF, direct PDF and slide placement approaches. Focus on why durable assets, explicit geometry and regeneration matter more than a screenshot-first export or a chart inventory without a narrative claim.

6 files in the observed scope; 0 in scripts/, 4 in references/, 0 in assets/.

This is a sample of observed paths, not the full directory. Zero files in scripts/ does not mean no execution, network access or file writes. Markdown and other folders may describe or contain executable behavior.

Source version and requirements

Observed
2026-09-07T14:02:40.375Z
Source commit
1e285826e604f66f7208f7ac4dba0fe8341d1f57
Content SHA-256
9acd03be0694d3b5b88edd1d8571d54a6507f65665e20d98689543139ec9ead4
License
Unknown
Author attribution
Repository owner: openai. Individual authorship is not independently established.

This page describes a pinned source snapshot, not the latest repository state. Changes after this commit have not been reconciled here. A repository license does not necessarily cover external models, datasets or services.

Open current repository ↗
Reference note and manual copy