BA

baoyu-article-illustrator

AI agent that reads articles and generates relevant images to improve visual storytelling.

Install

mkdir -p .claude/skills/baoyu-article-illustrator && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/1550" && unzip -o skill.zip -d .claude/skills/baoyu-article-illustrator && rm skill.zip

Installs to .claude/skills/baoyu-article-illustrator

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style × Palette three-dimension approach. Use when user asks to "illustrate article", "add images", "generate images for article", or "为文章配图".
250 chars✓ has a “when” trigger
Beginner

Key capabilities

  • Map article content to visual illustration opportunities
  • Apply 3-dimension consistency (Type, Style, Palette)
  • Automate visual asset placement
  • Sync with project-specific image backends

How it works

Parses article structure to identify key concepts, then applies consistent parameter rules (Type × Style × Palette) to generate images.

Inputs & outputs

You give it
Article text and design preferences
You get back
Series of illustrated visual assets

When to use baoyu-article-illustrator

  • Illustrate a long-form article
  • Generate images for blog content
  • Create thematic visuals for a technical post
  • Add images to markdown documentation

About this skill

Article Illustrator

Analyze articles, identify illustration positions, generate images with Type × Style × Palette consistency.

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, resolve the backend in this order:

  1. Current-request override — if the user names a specific backend in the current message, use it.
  2. Saved preference — if EXTEND.md sets preferred_image_backend to a backend available right now, use it.
  3. 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-image-gen) unless the user has explicitly pinned a different preferred_image_backend.
    • Codex via codex exec (codex-imagegen) — if the current runtime exposes no native imagegen skill but the codex CLI is on PATH with an active codex login, route through baoyu-image-gen --provider codex-cli (preferred), or — if baoyu-image-gen is unavailable — invoke the bundled wrapper directly. Details, parameters, and the runtime-discovery procedure live in references/codex-imagegen.md — load that file only when this branch is selected.
    • Cursor (GenerateImage) — if the runtime exposes a native GenerateImage tool, you are running inside Cursor and it outranks any non-native skill the same way Codex imagegen does. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed as description; (b) it does not accept an output directory — it saves to a tool-managed location, so after generation copy/move the file to the skill's expected output path (e.g., outputs/.../NN-xxx.png). Reference images go in reference_image_paths.
    • 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-image-gen), use it.
    • Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
  4. 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 labels, captions, or any other text inside an already generated illustration. If text is wrong or unclear, regenerate from a corrected prompt, redraw with less or no 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-{type}-[slug].md) BEFORE invoking any backend. The backend receives the prompt file (or its content); the file is the reproducibility record and lets you switch backends without regenerating prompts.

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

Batch Generation Policy

After every prompt file for the run has been saved and verified, generate images in batches by default.

Priority order:

  1. 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, and direct reference images.
  2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to generation_batch_size 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.
  3. If neither native batch nor parallel tool calls are available, generate sequentially.

Rules:

  • Never start the first batch until all prompt files for that batch 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.

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 4 or later until the user completes Step 3.
  • 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", "按默认出图", or equivalent wording.
  • If confirmation is skipped explicitly, state the assumed type / density / style / palette / language / backend in the next user-facing update before generating.

Reference Images

Users may supply reference images via --ref <files...> or by providing file paths / pasting images in conversation. Refs guide style, palette, composition, or subject for specific illustrations.

Full detection, storage, and processing rules are in references/workflow.md (Step 1.0 saves to references/NN-ref-{slug}.{ext}; Step 5.3 processes per-illustration usage direct | style | palette). When the chosen backend supports batch input, direct-usage entries in each prompt file's references: frontmatter should be propagated into its batch payload so backends can pass them through (e.g. baoyu-image-gen accepts ref per task).

Three Dimensions

DimensionControlsExamples
TypeInformation structureinfographic, scene, flowchart, comparison, framework, timeline
StyleRendering approachnotion, warm, minimal, blueprint, watercolor, elegant
PaletteColor scheme (optional)macaron, warm, neon — overrides style's default colors

Combine freely: --type infographic --style vector-illustration --palette macaron

Or use presets: --preset edu-visual → type + style + palette in one flag. See Style Presets.

Types

TypeBest For
infographicData, metrics, technical
sceneNarratives, emotional
flowchartProcesses, workflows
comparisonSide-by-side, options
frameworkModels, architecture
timelineHistory, evolution

Styles

See references/styles.md for Core Styles, full gallery, and Type × Style compatibility.

Workflow

- [ ] Step 1: Pre-check (EXTEND.md, references, config)
- [ ] Step 2: Analyze content
- [ ] Step 3: Confirm settings (AskUserQuestion)
- [ ] Step 4: Generate outline
- [ ] Step 5: Generate images
- [ ] Step 6: Finalize

Step 1: Pre-check

1.5 Load Preferences (EXTEND.md) ⛔ BLOCKING

Check EXTEND.md in priority order — the first one found wins:

PriorityPathScope
1.baoyu-skills/baoyu-article-illustrator/EXTEND.mdProject
2${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-article-illustrator/EXTEND.mdXDG
3$HOME/.baoyu-skills/baoyu-article-illustrator/EXTEND.mdUser home
ResultAction
FoundRead, parse, display summary
Not found⛔ Run first-time-setup

Full procedures: references/workflow.md

Step 2: Analyze

AnalysisOutput
Content typeTechnical / Tutorial / Methodology / Narrative
Purposeinformation / visualization / imagination
Core arguments2-5 main points
PositionsWhere illustrations add value

CRITICAL: Metaphors → visualize underlying concept, NOT literal image.

Full procedures: references/workflow.md

Step 3: Confirm Settings ⚠️

Hard gate: this step is mandatory per the Confirmation Policy — Steps 4+ cannot start until the user confirms here (or explicitly opts out with "直接生成" / equivalent wording in the current request).

**ONE AskUs


Content truncated.

When not to use it

  • For highly abstract creative projects without specific article structure
  • When strict brand-specific manual graphic design is required

Prerequisites

Image generation backend support

Limitations

  • Depends on the capabilities of the underlying image generator
  • Relies on prompt interpretation for stylistic accuracy

How it compares

Ensures visual consistency across an entire document rather than generating one-off images in isolation.

Compared to similar skills

baoyu-article-illustrator side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
baoyu-article-illustrator (this skill)182moNo flagsBeginner
baoyu-cover-image102moNo flagsBeginner
video-ai-direction02moReviewIntermediate
comic-studio-workflow02moNo flagsAdvanced

Try saying

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baoyu-infographic

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1230

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Compresses images to WebP (default) or PNG with automatic tool selection. Use when user asks to "compress image", "optimize image", "convert to webp", or reduce image file size.

1129

baoyu-cover-image

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1020

baoyu-url-to-markdown

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Fetch any URL and convert to markdown using Chrome CDP. Supports two modes - auto-capture on page load, or wait for user signal (for pages requiring login). Use when user wants to save a webpage as markdown.

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