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.zipInstalls 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".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
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):
- 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.mdsetspreferred_image_backendto 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 namedimagegenis listed, you are running inside Codex and MUST use it: invoke via theSkilltool withskill: "imagegen", passing the saved prompt file's content (plus output path and aspect ratio per Codeximagegen's own args). Codeximagegenis 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 differentpreferred_image_backend. - Codex via
codex exec(codex-imagegen) — if the current runtime exposes no nativeimagegenskill but thecodexCLI is onPATHwith an activecodex login, route throughbaoyu-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 nativeGenerateImagetool, you are running inside Cursor and it outranks any non-native skill the same way Codeximagegendoes. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed asdescription; (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 inreference_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.
- Codex (
- 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:
- 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.
- If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to
generation_batch_sizeimages at a time. Default:4. An explicit user request in the current message, such as--batch-size 4or "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 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.mddefaults 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
| Dimension | Controls | Examples |
|---|---|---|
| Type | Information structure | infographic, scene, flowchart, comparison, framework, timeline |
| Style | Rendering approach | notion, warm, minimal, blueprint, watercolor, elegant |
| Palette | Color 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
| Type | Best For |
|---|---|
infographic | Data, metrics, technical |
scene | Narratives, emotional |
flowchart | Processes, workflows |
comparison | Side-by-side, options |
framework | Models, architecture |
timeline | History, 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:
| Priority | Path | Scope |
|---|---|---|
| 1 | .baoyu-skills/baoyu-article-illustrator/EXTEND.md | Project |
| 2 | ${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-article-illustrator/EXTEND.md | XDG |
| 3 | $HOME/.baoyu-skills/baoyu-article-illustrator/EXTEND.md | User home |
| Result | Action |
|---|---|
| Found | Read, parse, display summary |
| Not found | ⛔ Run first-time-setup |
Full procedures: references/workflow.md
Step 2: Analyze
| Analysis | Output |
|---|---|
| Content type | Technical / Tutorial / Methodology / Narrative |
| Purpose | information / visualization / imagination |
| Core arguments | 2-5 main points |
| Positions | Where 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
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.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| baoyu-article-illustrator (this skill) | 18 | 2mo | No flags | Beginner |
| baoyu-cover-image | 10 | 2mo | No flags | Beginner |
| video-ai-direction | 0 | 2mo | Review | Intermediate |
| comic-studio-workflow | 0 | 2mo | No flags | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by JimLiu
View all by JimLiu →You might also like
baoyu-cover-image
JimLiu
Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".
video-ai-direction
cardinalconseils
AI video generation direction for Kling API — prompt engineering, motion design, platform specs, text-to-video and image-to-video workflows for marketing content
comic-studio-workflow
yantianqi1
Use when the user wants to create a comic/manga from a story, premise, or prompt. Executes the full pipeline: story analysis, character design, storyboard planning, image prompt composition, and image generation. Produces final comic page images as output.
imagen
Anhvu1107
ALWAYS use this when the request matches Imagen: AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.
social-media
langchain-ai
Use this skill when creating short-form social media content for LinkedIn, Twitter/X, or other platforms
jimeng-mcp-skill
wwwzhouhui
使用jimeng-mcp-server进行AI图像和视频生成。当用户请求从文本生成图像、合成多张图片、从文本描述创建视频或为静态图像添加动画时使用此技能。支持四大核心能力:文生图、图像合成、文生视频、图生视频。需要jimeng-mcp-server在本地运行或通过SSE/HTTP访问。