Any2deck

Slide Deck Generator

Transform content into professional slide deck images.

Usage

/lov-any2deck path/to/content.md
/lov-any2deck path/to/content.md --style sketch-notes
/lov-any2deck path/to/content.md --audience executives
/lov-any2deck path/to/content.md --lang zh
/lov-any2deck path/to/content.md --slides 10
/lov-any2deck path/to/content.md --outline-only
/lov-any2deck  # Then paste content

Script Directory

Agent Execution Instructions:

1. Determine this SKILL.md file's directory path as SKILL_DIR
2. Script path = ${SKILL_DIR}/scripts/<script-name>

Script	Purpose
scripts/merge-to-pptx.ts	Merge slides into PowerPoint
scripts/merge-to-pdf.ts	Merge slides into PDF
scripts/apply-branding.py	Composite logo(s)/QR onto slides — dual logo, tight-crop, JPG white→alpha (opt-in)

Options

Option	Description
--style <name>	Visual style: preset name, custom, or custom style name
--audience <type>	Target: beginners, intermediate, experts, executives, general
--lang <code>	Output language (en, zh, ja, etc.)
--slides <number>	Target slide count (8-25 recommended, max 30)
--outline-only	Generate outline only, skip image generation
--prompts-only	Generate outline + prompts, skip images
--images-only	Generate images from existing prompts directory
--regenerate <N>	Regenerate specific slide(s): --regenerate 3 or --regenerate 2,5,8
--logo <path>	Primary brand logo (top-right, skips cover/back-cover)
--logo2 <path>	Secondary logo (placed left of primary, optically aligned)
--presentation	Presentation mode: strips narration text, keeps only visual anchors

Slide Count by Content Length:

Content	Slides
< 1000 words	5-10
1000-3000 words	10-18
3000-5000 words	15-25
> 5000 words	20-30 (consider splitting)

Style System

Presets

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
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

Style Dimensions

Dimension	Options	Description
Texture	clean, grid, organic, pixel, paper	Visual texture and background treatment
Mood	professional, warm, cool, vibrant, dark, neutral	Color temperature and palette style
Typography	geometric, humanist, handwritten, editorial, technical	Headline and body text styling
Density	minimal, balanced, dense	Information density per slide

Full specs: references/dimensions/*.md

Auto Style Selection

Content Signals	Preset
tutorial, learn, education, guide, beginner	sketch-notes
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
Default	blueprint

Design Philosophy

Decks designed for reading and sharing, not live presentation:

• Each slide self-explanatory without verbal commentary
• Logical flow when scrolling
• All necessary context within each slide
• Optimized for social media sharing

See references/design-guidelines.md for:

• Audience-specific principles
• Visual hierarchy
• Content density guidelines
• Color and typography selection
• Font recommendations

See references/layouts.md for layout options.

File Management

Output Directory

slide-deck/{topic-slug}/
├── source-{slug}.{ext}
├── outline.md
├── prompts/
│   └── 01-slide-cover.md, 02-slide-{slug}.md, ...
├── 01-slide-cover.png, 02-slide-{slug}.png, ...
├── {topic-slug}.pptx
└── {topic-slug}.pdf

Slug: Extract topic (2-4 words, kebab-case). Example: "Introduction to Machine Learning" → intro-machine-learning

Conflict Handling: See Step 1.3 for existing content detection and user options.

Language Handling

Detection Priority:

1. --lang flag (explicit)
2. EXTEND.md language setting
3. User's conversation language (input language)
4. Source content language

Rule: ALL responses use user's preferred language:

• Questions and confirmations
• Progress reports
• Error messages
• Completion summaries

Technical terms (style names, file paths, code) remain in English.

Workflow

For the full step-by-step workflow, use references/workflow.md. Keep the main flow in this order:

1. Setup & analyze: load .lov-skills/lov-any2deck/EXTEND.md when present, save source content, analyze style signals, detect language, choose slide count, and check for existing slide-deck/{topic-slug} output before continuing.
2. Confirm: use AskUserQuestion for style, audience, slide count, outline review, and prompt review. If custom dimensions are selected, collect texture, mood, typography, and density.
3. Generate outline: read the selected preset from references/styles/ or combine dimension docs from references/dimensions/, then write outline.md using references/outline-template.md.
4. Review outline when requested, then generate per-slide prompts under prompts/ using references/base-prompt.md and references/layouts.md.
5. Review prompts when requested, generate slide images, optionally apply branding with scripts/apply-branding.py, then merge PPTX/PDF with the TypeScript scripts.
6. Report the output directory, generated slide count, PPTX/PDF paths, style, audience, language, and any partial failures.

Partial workflows (--outline-only, --prompts-only, --images-only, --regenerate) and slide modification procedures are documented in references/workflow.md.

References

File	Content
references/analysis-framework.md	Content analysis for presentations
references/outline-template.md	Outline structure and format
references/modification-guide.md	Edit, add, delete slide workflows
references/content-rules.md	Content and style guidelines
references/design-guidelines.md	Audience, typography, colors, visual elements
references/layouts.md	Layout options and selection tips
references/base-prompt.md	Base prompt for image generation
references/dimensions/*.md	Dimension specifications (texture, mood, typography, density)
references/dimensions/presets.md	Preset → dimension mapping
references/styles/<style>.md	Full style specifications (legacy)
references/config/preferences-schema.md	EXTEND.md structure

Notes

• Image generation: 10-30 seconds per slide
• Auto-retry once on generation failure
• Use stylized alternatives for sensitive public figures
• Maintain style consistency via session ID
• Step 2 confirmation required - do not skip (style, audience, slides, outline review, prompt review)
• Step 4 conditional - only if user requested outline review in Step 2
• Step 6 conditional - only if user requested prompt review in Step 2

Extension Support

Custom configurations via EXTEND.md. See Step 1.1 for paths and supported options.

Runtime context (shared)

运行前读取本 Skill 包的 skill.yaml，由宿主提供 skill-runtime/v1 上下文。字段解析顺序为：当前请求、项目上下文、个人 Preferences、品牌 Profile、通用默认值。

• 只使用 Manifest 声明的字段；Profile 保存公开品牌事实，Preferences 保存个人工作偏好。
• required: true 字段缺失时，按 Manifest 的问题配置向用户提出一个聚焦问题；用户明确同意后再保存回答。
• 报错提供可复制的 context_id、字段路径与来源，诊断内容避开秘密、完整私人路径和原始配置。

通用反馈闭环

用户在 Skill 驱动任务中提出修改意见时，继续当前产物前必须执行：

1. 先判断意见是 task-specific（仅本次）还是 reusable（可跨任务复用）。
2. task-specific 只修改当前任务，不改 Skill。
3. reusable 先确定作用域：领域规则先更新对应 canonical Skill；适用于所有 Skill 的规则先更新共享规范。
4. 完成规则更新、版本、lint 与分发核验后，再把修改应用到当前任务。
5. reusable 修改会使此前的“确认”“继续”“发吧”失效；完成当前产物修改和回读后必须停下，等待用户下一步指示，不自动进入发布、提交或其他外部写入。