baoyu-article-illustrator
Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style × Palette three-dimension approach
Install / Use
npx skills add JimLiu/baoyu-skills --skill baoyu-article-illustratorInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of baoyu-article-illustrator
baoyu-article-illustrator scores 99/100 on our quality scale, 54th of 1,937 Development & Engineering skills we index (top 3%).
Its SKILL.md is 17 KB long, well organised into 21 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 26,131 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 15 days ago, so baoyu-article-illustrator is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
baoyu-article-illustrator compared with similar skills
All 4 of these similar skills score higher than baoyu-article-illustrator; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| baoyu-article-illustrator (this skill)by JimLiu | 99 | 26.1k | 15d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.4k | 10d ago | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 44.0k | 4d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 6d ago | CLAUDE.md |
| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
Frequently asked questions
- How do I install baoyu-article-illustrator?
- Run
npx skills add JimLiu/baoyu-skills --skill baoyu-article-illustrator. The install tabs above show the steps for each supported agent. - Which AI agents does baoyu-article-illustrator work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is baoyu-article-illustrator safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is baoyu-article-illustrator still maintained?
- The repository was last updated 15 days ago, so baoyu-article-illustrator is actively maintained.
Skill content
View source on GitHubname: baoyu-article-illustrator description: 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". version: 1.117.4 metadata: openclaw: homepage: https://github.com/JimLiu/baoyu-skills#baoyu-article-illustrator
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 AskUserQuestion, max 4 Qs. Q1-Q2 REQUIRED. Q3 required unless preset chosen.
| Q | Options | |---|---------| | Q1: Preset or Type | [Recommended preset], [alt preset], or manual: infographic, scene, flowchart, comparison, framework, timeline, mixed | | Q2: Density | minimal (1-2), balanced (3-5), per-section (Recommended), rich (6+) | | Q3: Style | [Recommended], minimal-flat, sci-fi, hand-drawn, editorial, scene, poster, Other — skip if preset chosen | | Q4: Palette | Default (style colors), macaron, warm, neon — skip if preset includes palette or preferred_palette set | | Q5: Language | When article language ≠ EXTEND.md setting |
Full procedures: references/workflow.md
Step 4: Generate Outline
Save outline.md with frontmatter (type, density, style, palette, image_count) and entries:
## Illustration 1
**Position**: [section/paragraph]
**Purpose**: [why]
**Visual Content**: [what]
**Filename**: 01-infographic-concept-name.png
Full template: references/workflow.md
Step 5: Generate Images
⛔ BLOCKING: Prompt files MUST be saved before ANY image generation. This is a hard requirement regardless of which backend is chosen — the prompt file is the reproducibility record.
- For each illustration, create a prompt file per references/prompt-construction.md
- Save to
prompts/NN-{type}-{slug}.mdwith YAML frontmatter - Prompts MUST use type-specific templates with st
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
