SKILL.md
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- 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-imagine) unless the user has explicitly pinned a differentpreferred_image_backend.
- 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-imagine), use it.
- Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
- 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, image_generate, baoyu-imagine) 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-imagine 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](#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 structured sections (ZONES / LABELS / COLORS / STYLE / ASPECT)
- LABELS MUST include article-specific data: actual numbers, terms, metrics, quotes
- DO NOT pass ad-hoc inline prompts to
--promptwithout saving prompt files first
- Select the backend via the
## Image Generation Toolsrule at the top: use whatever is available; if multiple, ask the user once. Do this once per session before any generation.
- Execution strategy: Generate in batches per the
## Batch Generation Policy: backend native batch first, runtime parallel tool calls second, sequential only as fallback. Default batch size is 4 unless EXTEND.md or the current request overrides it.
- Process references (
direct/style/palette) per prompt frontmatter
- Apply watermark if EXTEND.md enabled
- Generate from saved prompt files; retry once on failure
Full procedures: references/workflow.md
Step 6: Finalize
Insert  after paragraphs. Path computed relative to article file based on output directory setting.
Article Illustration Complete!
Article: [path] | Type: [type] | Density: [level] | Style: [style] | Palette: [palette or default]
Images: X/N generated
Output Directory
Output directory is determined by default_output_dir in EXTEND.md (set during first-time setup):
default_output_dir
Output Path
Markdown Insert Path
imgs-subdir (default)
{article-dir}/imgs/
imgs/NN-{type}-{slug}.png
same-dir
{article-dir}/
NN-{type}-{slug}.png
illustrations-subdir
{article-dir}/illustrations/
illustrations/NN-{type}-{slug}.png
independent
illustrations/{topic-slug}/
illustrations/{topic-slug}/NN-{type}-{slug}.png (relative to cwd)
All auxiliary files (outline, prompts) are saved inside the output directory:
{output-dir}/
├── outline.md
├── prompts/
│ └── NN-{type}-{slug}.md
└── NN-{type}-{slug}.png
When input is pasted content (no file path), always uses illustrations/{topic-slug}/ with source-{slug}.{ext} saved alongside.
Slug: 2-4 words, kebab-case. Conflict: append -YYYYMMDD-HHMMSS.
Modification
Action
Steps
Edit
Update prompt → Regenerate → Update reference
Add
Position → Prompt → Generate → Update outline → Insert
Delete
Delete files → Remove reference → Update outline
Text correction policy:
- If any rendered text (labels, captions, etc.) is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
References
File
Content
Detailed procedures
Command syntax
Style gallery + Palette gallery
Preset shortcuts (type + style + palette)
references/prompt-construction.md
Prompt templates
references/config/first-time-setup.md
First-time setup
Changing Preferences
EXTEND.md lives at the first matching path listed in Step 1.5. Three ways to change it:
- Edit directly — open EXTEND.md and change fields. Full schema:
references/config/preferences-schema.md.
- Reconfigure interactively — delete EXTEND.md (or ask "reconfigure baoyu-article-illustrator preferences" / "重新配置"). The next run re-triggers first-time setup.
- Common one-line edits:
preferred_image_backend: auto— default; runtime-native tool wins, falls back to the only installed backend, asks only if multiple non-native are present.
preferred_image_backend: codex-imagegen— pin to Codex's built-in.
preferred_image_backend: baoyu-imagine— pin to the baoyu-imagine skill.
preferred_image_backend: ask— confirm backend every run.
generation_batch_size: 4— default number of images to render concurrently when the runtime supports parallel generation calls.
preferred_type: infographic,preferred_style: notion,preferred_palette: macaron,language: zh.
default_output_dir: imgs-subdir— where to write generated images relative to the article.