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Baoyu Slide Deck

baoyu-slide-deck

Generates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks t...

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安装

选择你使用的 Agent

方法一：命令行安装（推荐）

关于 Baoyu Slide Deck

--- name: baoyu-slide-deck description: Generates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT". version: 1.57.0 metadata: openclaw: homepage: https://github.com/JimLiu/baoyu-skills#baoyu-slide-deck requires: anyBins: - bun - npx ---

Slide Deck Generator

Transform content into professional slide deck images. The deck is designed for reading and sharing (self-explanatory slides, logical scroll flow, social-media-friendly) rather than live presentation — that assumption drives every layout and density decision below.

User Input Tools

When this skill prompts the user, follow this tool-selection rule (priority order):

Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.
Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.

Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.

Image Generation Tools

When this skill needs to render an image, resolve the backend in this order:

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 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 | Preset (see Presets below), custom, or custom style name | | --audience | beginners / intermediate / experts / executives / general | | --lang | Output language (en, zh, ja, ...) | | --slides | Target slide count (8-25 recommended, max 30) | | --ref | Reference images applied per slide (style / palette / composition / subject) | | --batch-size | 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 | 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/.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  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 -backup-YYYYMMDD-HHMMSS. 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 & 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 — 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/.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.

`Prompt 示例`

安装 Baoyu Slide Deck 后，可以对 AI 说这些话来触发它

UHelp me get started with Baoyu Slide Deck

AExplains what Baoyu Slide Deck does, walks through the setup, and runs a quick demo based on your current project

UUse Baoyu Slide Deck to generates professional slide deck images from content

AInvokes Baoyu Slide Deck with the right parameters and returns the result directly in the conversation

UWhat can I do with Baoyu Slide Deck in my design & creative workflow?

ALists the top use cases for Baoyu Slide Deck, with example commands for each scenario

`常见问题`

如何安装 Baoyu Slide Deck？▾

将技能文件夹放到 ~/.claude/skills/baoyu-slide-deck/ 目录（个人级，所有项目可用），或 .claude/skills/baoyu-slide-deck/（项目级）。重启 AI 客户端后，用 /baoyu-slide-deck 主动调用，或让 AI 根据上下文自动发现并使用。

Baoyu Slide Deck 支持哪些 AI 平台？▾

Baoyu Slide Deck 支持 Claude、Cursor、OpenClaw，可与这些 AI 平台无缝集成，扩展其能力。

Baoyu Slide Deck 是免费的吗？▾

Baoyu Slide Deck 可免费安装使用。请查阅仓库了解许可证信息。

Baoyu Slide Deck 有什么功能？▾

Generates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks t...

Baoyu Slide Deck 属于哪个分类？▾

Baoyu Slide Deck 属于「Design & Creative」分类，该分类的技能帮助 AI 智能体在此领域执行专业任务。

`使用场景`

Getting Started with Baoyu Slide Deck→Automate Design & Creative Workflows with Baoyu Slide Deck→Team Collaboration with Baoyu Slide Deck→

Baoyu Slide Deck

安装

关于 Baoyu Slide Deck

Slide Deck Generator

User Input Tools

Image Generation Tools

Batch Generation Policy

Confirmation Policy

Language

Script Directory

Options

Style System

Presets (17)

Dimensions (when "Custom dimensions" picked)

Auto-Selection

Slide Count Heuristic

Reference Images

File Layout

Workflow

Step 1: Setup & Analyze

Step 2: Confirmation ⚠️ REQUIRED

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

Step 9: Summary

Slide Modification

References

Notes

Changing Preferences

`Prompt 示例`

`常见问题`

`使用场景`

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