baoyu-slide-deck

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• Current-request override — if the user names a specific backend in the current message, use it.

• Saved preference — if EXTEND.md sets preferred_image_backend to a backend available right now, use it.

• Auto-select (when the preference is auto, unset, or the pinned backend isn't available):

• **Codex (imagegen)** — first, inspect your available-skills / tool inventory. If a skill named imagegen is listed, you are running inside Codex and MUST use it: invoke via the Skill tool with skill: "imagegen", passing the saved prompt file's content (plus output path and aspect ratio per Codex imagegen's own args). Codex imagegen is the official raster backend in that runtime and outranks any non-native skill (e.g., baoyu-imagine) unless the user has explicitly pinned a different preferred_image_backend.

• Other runtime-native tools — if the runtime exposes a different native image tool (e.g., Hermes image_generate), use it the same way.

• Otherwise, if exactly one non-native backend is installed (e.g., baoyu-imagine), use it.

• Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.

• If none are available, tell the user and ask how to proceed.

⛔ Never substitute SVG, HTML, canvas, or other code-based rendering for raster image generation. Codex imagegen's own description says it should be used "when the output should be a bitmap asset rather than repo-native code or vector." If you cannot resolve a raster backend via step 3, fall through to step 4 and ask the user — do not silently emit SVG, write inline <svg> markup, or produce HTML/CSS art as a substitute. This applies even if the article/section seems "diagram-like": the consumer skill calling this rule has already decided that a raster image is what it needs.

⛔ Never repair rendered text by painting over a generated bitmap. Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace slide titles, bullets, or any other text inside an already generated slide image. If text is wrong or unclear, regenerate from a corrected prompt, simplify the slide's on-image text, or ask the user which imperfect candidate to keep.

Setting preferred_image_backend: ask forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the ## Changing Preferences section below.

Prompt file requirement (hard): write each image's full, final prompt to a standalone file under prompts/ (naming: NN-slide-[slug].md) BEFORE invoking any backend. The file is the reproducibility record and lets you switch backends without regenerating prompts.

Concrete tool names (imagegen, image_generate, baoyu-imagine) above are examples — substitute the local equivalents under the same rule.

Batch Generation Policy

After every prompt file for the current generation group has been saved and verified, generate slide images in batches by default.

Priority order:

• Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images.

• If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to generation_batch_size slide images at a time. Default: 4. An explicit user request in the current message, such as --batch-size 4 or "并行4张一起生成", overrides EXTEND.md.

• If neither native batch nor parallel tool calls are available, generate sequentially.

Rules:

• Never start the first batch until all selected slide prompt files exist on disk.

• Retry failed items once without regenerating successful items.

• Do not use subagents merely to parallelize image rendering. Use subagents only for separate prompt iteration or creative exploration.

• Merge PPTX/PDF only after all selected slide images are generated.

Confirmation Policy

Default behavior: confirm before generation.

• Treat explicit skill invocation, a file path, matched signals/presets, and EXTEND.md defaults as recommendation inputs only. None of them authorizes skipping confirmation.

• Do not start Step 3 or later until the user completes Step 2.

• Skip confirmation only when the current request explicitly says to do so, for example: "直接生成", "不用确认", "跳过确认", "按默认出幻灯片", or equivalent wording.

• If confirmation is skipped explicitly, state the assumed style / audience / slide-count / language / backend in the next user-facing update before generating.

Language

Respond in the user's language across questions, progress reports, error messages, and the completion summary. Keep technical tokens (style names, file paths, code) in English.

Script Directory

{baseDir} = this SKILL.md's directory. Resolve ${BUN_X}: prefer bun; else npx -y bun; else suggest brew install oven-sh/bun/bun.

Script

Purpose

scripts/merge-to-pptx.ts

Merge slides into PowerPoint

scripts/merge-to-pdf.ts

Merge slides into PDF

Options

Option

Description

--style <name>

Preset (see Presets below), custom, or custom style name

--audience <type>

beginners / intermediate / experts / executives / general

--lang <code>

Output language (en, zh, ja, ...)

--slides <N>

Target slide count (8-25 recommended, max 30)

--ref <files...>

Reference images applied per slide (style / palette / composition / subject)

--batch-size <n>

Temporary slide image generation batch size for this run. Default: generation_batch_size from EXTEND.md, otherwise 4. Clamp to 1-8.

--outline-only

Stop after outline

--prompts-only

Stop after prompts (skip image generation)

--images-only

Skip to Step 7; requires existing prompts/

--regenerate <N>

Regenerate specific slide(s): 3 or 2,5,8

Style System

17 presets covering technical / educational / lifestyle / editorial use cases. Every preset is a combination of four dimensions (texture / mood / typography / density). If the user picks "Custom dimensions" in Round 1, Round 2 of the confirmation asks one question per dimension — options and verbatim copy live in references/confirmation.md.

Presets (17)

Preset

Dimensions

Best For

blueprint (Default)

grid + cool + technical + balanced

Architecture, system design

chalkboard

organic + warm + handwritten + balanced

Education, tutorials

corporate

clean + professional + geometric + balanced

Investor decks, proposals

minimal

clean + neutral + geometric + minimal

Executive briefings

sketch-notes

organic + warm + handwritten + balanced

Educational, tutorials

hand-drawn-edu

organic + macaron + handwritten + balanced

Educational diagrams, process explainers

watercolor

organic + warm + humanist + minimal

Lifestyle, wellness

dark-atmospheric

clean + dark + editorial + balanced

Entertainment, gaming

notion

clean + neutral + geometric + dense

Product demos, SaaS

bold-editorial

clean + vibrant + editorial + balanced

Product launches, keynotes

editorial-infographic

clean + cool + editorial + dense

Tech explainers, research

fantasy-animation

organic + vibrant + handwritten + minimal

Educational storytelling

intuition-machine

clean + cool + technical + dense

Technical docs, academic

pixel-art

pixel + vibrant + technical + balanced

Gaming, developer talks

scientific

clean + cool + technical + dense

Biology, chemistry, medical

vector-illustration

clean + vibrant + humanist + balanced

Creative, children's content

vintage

paper + warm + editorial + balanced

Historical, heritage

Per-preset specs: references/styles/<preset>.md. Preset → dimension mapping: references/dimensions/presets.md.

Dimensions (when "Custom dimensions" picked)

Dimension

Options

Purpose

Texture

clean, grid, organic, pixel, paper

Background treatment

Mood

professional, warm, cool, vibrant, dark, neutral, macaron

Color temperature

Typography

geometric, humanist, handwritten, editorial, technical

Headline/body styling

Density

minimal, balanced, dense

Information per slide

Full per-dimension specs: references/dimensions/*.md.

Auto-Selection

Match content signals to a preset. Pick the first row whose signal keywords appear in the source; fall back to blueprint if nothing matches.

Signals in source

Preset

tutorial, learn, education, guide, beginner

sketch-notes

hand-drawn, infographic, diagram, process, onboarding

hand-drawn-edu

classroom, teaching, school, chalkboard

chalkboard

architecture, system, data, analysis, technical

blueprint

creative, children, kids, cute

vector-illustration

briefing, academic, research, bilingual

intuition-machine

executive, minimal, clean, simple

minimal

saas, product, dashboard, metrics

notion

investor, quarterly, business, corporate

corporate

launch, marketing, keynote, magazine

bold-editorial

entertainment, music, gaming, atmospheric

dark-atmospheric

explainer, journalism, science communication

editorial-infographic

story, fantasy, animation, magical

fantasy-animation

gaming, retro, pixel, developer

pixel-art

biology, chemistry, medical, scientific

scientific

history, heritage, vintage, expedition

vintage

lifestyle, wellness, travel, artistic

watercolor

Slide Count Heuristic

Source length

Recommended slides

< 1000 words

5-10

1000-3000 words

10-18

3000-5000 words

15-25

5000 words

20-30 (consider splitting)

Reference Images

Users may supply reference images to guide style, palette, layout, or subject.

Intake: Accept via --ref <files...> or when the user provides file paths / pastes images in conversation.

• File path → copy to {slide-deck-dir}/refs/NN-ref-{slug}.{ext}

• Pasted image with no path → ask for the path, or extract style traits verbally as a text fallback

Usage modes (per reference):

Usage

Effect

direct

Pass the file to the backend as a reference image for each slide

style

Extract style traits (line treatment, texture, mood) and append to every slide's prompt body

palette

Extract hex colors and append to every slide's prompt body

Record refs in each slide's prompt frontmatter:

references:

  - ref_id: 01

    filename: 01-ref-brand.png

    usage: direct

At generation time, verify files exist. If usage: direct and the backend accepts refs (e.g., baoyu-imagine --ref), pass the file on every slide. Otherwise embed extracted style/palette traits in the prompt text.

File Layout

slide-deck/{topic-slug}/

├── source-{slug}.{ext}

├── outline.md

├── prompts/NN-slide-{slug}.md

├── NN-slide-{slug}.png

├── {topic-slug}.pptx

└── {topic-slug}.pdf

Slug: 2-4 words, kebab-case, extracted from topic. "Introduction to Machine Learning" → intro-machine-learning.

Backup rule (applies across steps): if a file about to be written already exists, rename it to <name>-backup-YYYYMMDD-HHMMSS.<ext> before writing the new one. This protects user edits and enables rollback.

Workflow

Copy this checklist and check off items as you complete them:

- [ ] Step 1: Setup & analyze

- [ ] Step 2: Confirmation ⚠️ REQUIRED (Round 1; Round 2 only if "Custom dimensions")

- [ ] Step 3: Generate outline

- [ ] Step 4: Review outline (conditional)

- [ ] Step 5: Generate prompts

- [ ] Step 6: Review prompts (conditional)

- [ ] Step 7: Generate images

- [ ] Step 8: Merge to PPTX/PDF

- [ ] Step 9: Output summary

Step 1: Setup &#x26; Analyze

1.1 Load EXTEND.md — check these paths in order; first hit wins:

Path

Scope

.baoyu-skills/baoyu-slide-deck/EXTEND.md

Project

${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-slide-deck/EXTEND.md

XDG

$HOME/.baoyu-skills/baoyu-slide-deck/EXTEND.md

User home

If found, read, parse, and print a summary (style / audience / language / review / generation batch size). If not, proceed with defaults — first-time setup is not blocking for this skill. Schema: references/config/preferences-schema.md.

1.2 Analyze content — follow references/analysis-framework.md: classify content, detect language, note signals for style selection, estimate slide count from length (see the Slide Count Heuristic in Style System above), generate topic slug. Save source as source.md (honor backup rule if one exists).

1.3 Check existing output ⚠️ REQUIRED before Step 2. If slide-deck/{topic-slug}/ exists, ask how to proceed — four options (regenerate outline / regenerate images / backup and regenerate / exit), verbatim copy in references/confirmation.md.

Save findings to analysis.md: topic, audience, signals, recommended style and slide count, language detection.

Step 2: Confirmation ⚠️ REQUIRED

Hard gate: this step is mandatory per the [Confirmation Policy](#confirmation-policy) — Steps 3+ cannot start until the user confirms here (or explicitly opts out with "直接生成" / equivalent wording in the current request).

Round 1 (always) — batch five questions in one AskUserQuestion call: style, audience, slide count, review-outline?, review-prompts?. Verbatim options in references/confirmation.md.

Summary displayed before the questions:

• Content type + topic

• Detected language

• Recommended style (based on signals)

• Recommended slide count (based on length)

Round 2 (only if "Custom dimensions" in Round 1) — batch four questions: texture, mood, typography, density. Verbatim options in references/confirmation.md. The four answers replace the preset.

After confirmation: update analysis.md with final choices and store skip_outline_review / skip_prompt_review flags from Q4/Q5.

Step 3: Generate Outline

Resolve style: preset → references/styles/{preset}.md; custom dimensions → combine files in references/dimensions/. Build STYLE_INSTRUCTIONS from the resolved style, apply confirmed audience + language + slide count, follow references/outline-template.md, and save as outline.md.

Stop here if --outline-only. Skip Step 4 if skip_outline_review.

Step 4: Review Outline (Conditional)

Display a slide-by-slide table (# | Title | Type | Layout) along with total count and resolved style. Ask: proceed / edit outline first / regenerate — verbatim in references/confirmation.md.

On "Edit outline first", tell the user to edit outline.md and ask again when ready. On "Regenerate outline", return to Step 3.

Step 5: Generate Prompts

For each slide in outline:

• Read references/base-prompt.md

• Extract STYLE_INSTRUCTIONS from the outline (don't re-read the style file)

• Add the slide's content

• If a Layout: is specified, include guidance from references/layouts.md

• Save to prompts/NN-slide-{slug}.md (backup rule applies)

Stop here if --prompts-only. Skip Step 6 if skip_prompt_review.

Step 6: Review Prompts (Conditional)

Display the prompts index (# | Filename | Slide Title) and ask: proceed / edit prompts first / regenerate — verbatim in references/confirmation.md. Branches mirror Step 4.

Step 7: Generate Images

• Resolve the image backend via the Image Generation Tools rule at the top — ask once if multiple are installed.

• Confirm every prompts/NN-slide-{slug}.md exists (hard requirement; prompt files are the reproducibility record regardless of backend).

• Session ID: slides-{topic-slug}-{timestamp} — pass to the backend only if it supports sessions.

• Build a task list for selected slides with each slide's prompt file, output PNG path, aspect ratio, session ID, and verified direct references.

• Dispatch slide images in batches per the ## Batch Generation Policy: backend native batch first, runtime parallel tool calls second, sequential only as fallback. Backup rule applies to PNG files before dispatch. Report progress as Generated X/N. Retry only failed items once before reporting an error.

--regenerate N jumps to this step for the named slides only. --images-only starts here with existing prompts.

Step 8: Merge

${BUN_X} {baseDir}/scripts/merge-to-pptx.ts <slide-deck-dir>

${BUN_X} {baseDir}/scripts/merge-to-pdf.ts <slide-deck-dir>

Step 9: Summary

Slide Deck Complete!

Topic: [topic]

Style: [preset or "custom: texture+mood+typography+density"]

Location: [directory]

Slides: N

- 01-slide-cover.png

- ...

- NN-slide-back-cover.png

Outline: outline.md

PPTX: {topic-slug}.pptx

PDF: {topic-slug}.pdf

Slide Modification

Action

How

Edit

Update prompts/NN-slide-{slug}.md first, then --regenerate N

Add

Create new prompt at position, generate image, renumber subsequent NN (slugs unchanged), update outline.md, re-merge

Delete

Remove PNG + prompt, renumber subsequent, update outline.md, re-merge

Always update the prompt file before regenerating the image — this keeps the prompts directory as the source of truth and makes changes reproducible. Only NN changes on renumber; slugs stay stable so references remain valid.

Text correction policy:

• If a slide's title, bullets, or any other rendered text is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.

• For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.

• Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.

See references/modification-guide.md for full details.

References

File

Content

references/confirmation.md

Verbatim AskUserQuestion option copy for every confirmation

references/analysis-framework.md

Content analysis framework

references/outline-template.md

Outline structure

references/base-prompt.md

Base prompt body for image generation

references/layouts.md

Layout options

references/design-guidelines.md

Audience, typography, color selection

references/content-rules.md

Content guidelines

references/modification-guide.md

Edit/add/delete workflows

references/styles/<preset>.md

Per-preset specifications

references/dimensions/*.md

Per-dimension specifications

references/config/preferences-schema.md

EXTEND.md schema

Notes

• Image generation takes ~10-30s per slide; report progress between them.

• For sensitive public figures, prefer stylized alternatives to avoid likeness issues.

• Maintain visual consistency via the session ID when the backend supports it.

Changing Preferences

EXTEND.md lives at the first matching path listed in Step 1.1. Two ways to change it:

• Edit directly — open EXTEND.md and change fields. Full schema: references/config/preferences-schema.md.

• Common one-line edits:

• preferred_image_backend: auto — default; runtime-native tool wins, falls back to the only installed backend, asks only if multiple non-native are present.

• preferred_image_backend: codex-imagegen — pin to Codex's built-in.

• preferred_image_backend: baoyu-imagine — pin to the baoyu-imagine skill.

• preferred_image_backend: ask — confirm backend every run.

• generation_batch_size: 4 — default number of slide images to render concurrently when the backend/runtime supports batch or parallel generation.

• preferred_style: blueprint, preferred_audience: experts, language: zh.