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baoyu-skills/skills/baoyu-slide-deck/SKILL.md
T
Jim Liu 宝玉 2c800c670a [codex] Refactor skills into focused references (#135)
* docs: add runtime-neutral User Input Tools convention across skills

Introduce docs/user-input-tools.md as the author-side canonical source
and inline the tool-selection rule into every SKILL.md that prompts
the user. Also add Skill Self-Containment and User Input Tools sections
to CLAUDE.md and the copy-verbatim template to docs/creating-skills.md,
so skills stay portable across Claude Code, Codex, Hermes, and other
runtimes.

* feat: runtime-neutral image generation convention across skills

- Introduce inline `## Image Generation Tools` rule in every rendering SKILL.md so skills delegate backend choice instead of hard-coding one; author-side canonical copy lives in docs/image-generation-tools.md.
- Add `## Reference Images` support (`--ref`, frontmatter `references:` with direct/style/palette usage) to all seven image-rendering skills.
- Move build-batch.ts (with ref propagation into batch JSON) from baoyu-article-illustrator to baoyu-imagine so non-backend skills don't own backend-specific scripts; update baoyu-image-gen stub in sync and relax the CLAUDE.md deprecation note accordingly.

* refactor: slim heavy SKILL.md files and move detail to references/

Trim the four largest active skills and move presets, option tables, and
confirmation scripts into per-skill references/ so SKILL.md stays focused
on the decision flow.

- baoyu-slide-deck: 761→258, + styles-gallery.md, confirmation.md
- baoyu-image-cards: 657→280, + gallery.md, confirmation.md
- baoyu-post-to-wechat: 518→267, + multi-account.md, api-setup.md
- baoyu-imagine: 500→230, + providers/, usage-examples.md

Also un-deprecate baoyu-image-gen (drop stub warning) so it stays functional
alongside baoyu-imagine, and update CLAUDE.md to reflect that both
superseded skills are kept in sync rather than stubbed.

* refactor: slim four medium SKILL.md files into references/

Continue the P2 pattern on the next tier of skills — move option catalogs,
per-provider/adapter detail, and repeated EXTEND.md path boilerplate into
their own references so SKILL.md stays focused on the decision flow.

- baoyu-comic: 380→297 (art/tone/preset tables → auto-selection.md;
  Step 7 expanded detail → workflow.md)
- baoyu-infographic: 312→207 (layouts/styles/combinations/keywords →
  gallery.md; ASCII box tables → markdown tables)
- baoyu-format-markdown: 376→296 (title + summary generation →
  title-summary.md; ASCII box tables → markdown tables)
- baoyu-url-to-markdown: 334→169 (quality gate + recovery →
  quality-gate.md; adapters + media download → adapters.md)

* chore: sync deprecated skills with their replacements

Per project policy, baoyu-xhs-images and baoyu-image-gen are kept
functional alongside the active skills they were superseded by. Sync
their SKILL.md bodies and references/ to the slimmed baoyu-image-cards
and baoyu-imagine versions respectively, so cross-cutting fixes stay
consistent. Only the frontmatter (name, description, version, homepage)
differs — content is identical.

- baoyu-xhs-images: 657→281 (synced with baoyu-image-cards + new
  confirmation.md, gallery.md)
- baoyu-image-gen: 408→231 (synced with baoyu-imagine + new
  providers/, usage-examples.md)

* refactor: collapse EXTEND.md boilerplate into priority tables

Replace the dual bash/powershell existence-check blocks and ASCII box
art with a single markdown priority table across nine SKILL.md files.
The runtime-neutral phrasing removes shell-specific snippets without
losing the priority semantics.

* fix: address refactor-skills branch review findings

- image-gen: restore EXTEND.md paths to baoyu-image-gen (were pointing at
  baoyu-imagine) and mark descriptions of both deprecated skills as
  [Deprecated].
- xhs-images: sync neon/warm palettes with image-cards to add the
  "do not render color names/hex as visible text" safety sentence.
- infographic: restore Layout Gallery (21), Style Gallery (21),
  Recommended Combinations, and Keyword Shortcuts inline (previous
  refactor split them out but SKILL.md still depended on them), and add
  the missing references/config/first-time-setup.md + preferences-schema.md.
- image-cards / xhs-images / slide-deck / format-markdown: restore the
  sections that got over-slimmed into references/ (galleries, presets,
  dimensions, auto-selection, style x layout matrix, title/summary flow)
  and drop the now-empty shell files.
- docs/image-generation-tools.md: note that backend skills themselves
  (baoyu-imagine, baoyu-image-gen, baoyu-danger-gemini-web) are exempt
  from the ## Image Generation Tools section requirement.

* feat(image-gen): sync Z.AI GLM-Image provider from baoyu-imagine

Add Z.AI as a full provider in the deprecated baoyu-image-gen skill so
it stays in sync with baoyu-imagine's provider list.

- new scripts/providers/zai.ts + zai.test.ts (verbatim port; test
  factory trimmed to match image-gen's CliArgs shape).
- types.ts: "zai" added to Provider union and default_model.
- main.ts: rate-limit defaults, provider help text, env var help,
  --provider validation, loadProviderModule, detectProvider
  auto-detect chain, getModelForProvider, YAML parser allow-lists.
- references/config: Q2e Z.AI model question + zai slot in the
  preferences schema and batch.provider_limits.

Scope is intentionally limited to the Z.AI chain; unrelated drift
between image-gen and imagine (OpenAI image-API dialect,
aspectRatioSource, imageSizeSource) is left alone.

* docs: align inline-convention wording and note backend-skill exemption

- docs/user-input-tools.md: fix stale "links here" wording so it
  matches the inline convention already enforced everywhere else.
- CLAUDE.md §Image Generation Tools: inline the backend-skill
  exemption so readers don't need to cross-reference
  docs/image-generation-tools.md.
2026-04-19 00:48:44 -05:00

15 KiB

name, description, version, metadata
name description version metadata
baoyu-slide-deck 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". 1.56.1
openclaw
homepage requires
https://github.com/JimLiu/baoyu-skills#baoyu-slide-deck
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):

  1. Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.
  2. 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.
  3. 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:

  • Use whatever image-generation tool or skill is available in the current runtime — e.g., Codex imagegen, Hermes image_generate, baoyu-imagine, or any equivalent the user has installed.
  • If multiple are available, ask the user once at the start which to use (batch with any other initial questions).
  • If none are available, tell the user and ask how to proceed.

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.

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)
--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 & 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). 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

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:

  1. Read references/base-prompt.md
  2. Extract STYLE_INSTRUCTIONS from the outline (don't re-read the style file)
  3. Add the slide's content
  4. If a Layout: is specified, include guidance from references/layouts.md
  5. 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

  1. Resolve the image backend via the Image Generation Tools rule at the top — ask once if multiple are installed.
  2. Confirm every prompts/NN-slide-{slug}.md exists (hard requirement; prompt files are the reproducibility record regardless of backend).
  3. Session ID: slides-{topic-slug}-{timestamp} — pass to the backend only if it supports sessions.
  4. For each slide: generate sequentially, reusing the session ID. Backup rule applies to PNG files. Report progress as Generated X/N. Auto-retry once on failure 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.

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.

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