html-slide-to-pptx#

Convert structured HTML slides into editable PPTX by parsing semantic blocks and mapping them to native PowerPoint objects.

This skill is preset-driven.

• Reuse an existing preset when the HTML belongs to a supported slide family.
• Add a new preset when the HTML belongs to a new slide family.
• Do not promise arbitrary HTML/CSS fidelity.

First steps#

1. Read the incoming HTML and identify the slide family.
2. Place the output PPTX in ./output/<name>.pptx (create the directory if it doesn't exist).
3. If you are on a new machine, a fresh agent, or dependency state is unclear, read references/setup.md first.
4. Run npm run check-env before first use on a new environment.
5. If dependencies are missing, run npm ci or npm install in the skill directory.

Workflow#

1. Identify whether the HTML belongs to a supported preset.
2. Parse the HTML into a small intermediate model instead of trying to render arbitrary CSS.
3. Generate PPTX with native text/shapes using the bundled script.
4. Run a QA/preflight review on the generated result or the extracted model.
5. Open or preview the PPTX and inspect spacing, overflow, and arrow direction issues.
6. Iterate the preset mapping when fidelity is not good enough.

Current support#

Preset: v9-architecture#

Use for this exact or near-exact structure:

• Header eyebrow + brand
• Title
• Core summary box
• Left driver panel
• Center layered architecture stack
• Right judgement chain panel

Preset: ai-runtime-page#

Use for this exact or near-exact structure:

• Header eyebrow + brand
• Title + lead box
• Input chip row
• Main runtime box with 5 modules
• Support layer cards
• Output chip row
• Base layer + takeaway

Commands#

Verify environment#

bash

npm run check-env

Convert HTML to PPTX#

bash

# Output is saved to ./output/<name>.pptx by default
node scripts/html_to_pptx.js <input.html> ./output/<name>.pptx [--preset=v9-architecture|ai-runtime-page] [--dump-model <file.json>]

Run preflight QA#

bash

node scripts/preflight_qa.js <model.json> [--preset=v9-architecture|ai-runtime-page] [--report <report.json>]

When no preset fits#

Do not hard-convert arbitrary HTML.

If the HTML structure is meaningfully different from existing presets, add a new preset by implementing all three layers:

1. DOM extraction rules
2. Layout/render mapping rules
3. QA/preflight rules

Reuse existing presets only when the page family is genuinely close. If the structure differs in information architecture, add a new preset instead of overloading an old one.

Rules#

• Prefer semantic mapping over screenshot embedding.
• Preserve editability first, then iterate toward fidelity.
• Treat browser rendering as reference, not as the generation engine.
• Run QA for every generated result.
• If setup or portability is the issue, read references/setup.md.
• If extending support, read references/preset-decision-rules.md first, then references/presets.md, references/preset-template.md, and references/qa-heuristics.md.

References#

• Read references/setup.md when installing or using the skill on a new machine/agent.
• Read references/preset-decision-rules.md when deciding whether to reuse, extend, or replace a preset.
• Read references/presets.md when extending to new slide families.
• Read references/preset-template.md when creating a brand-new preset.
• Read references/qa-heuristics.md when designing or tuning preflight checks.
• Read references/roadmap.md when planning higher-fidelity HTML measurement or hybrid background/text-layer approaches.
• Read references/usage-principles.md for the full 5-rule usage guide.
• Read README.md for a human-friendly overview, setup summary, and portability notes.