baoyu-infographic

--- name: baoyu-infographic description: Generate professional infographics with 21 layout types and 22 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", "可视化", or "高密度信息大图". version: 1.117.4 metadata: openclaw: homepage: https://github.com/JimLiu/baoyu-skills#baoyu-infographic --- # Infographic Generator Two dimensions: **layout** (information structure) × **style** (visual aesthetics). Freely combine any layout with any style. ## 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](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, headings, callouts, data values, or any other text inside an already generated infographic. If text is wrong or unclear, regenerate from a corrected prompt, switch to a layout with less 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. ## Reference Images Users may supply reference images to guide style, palette, composition, or subject. **Intake**: Accept via `--ref <files...>` or when the user provides file paths / pastes images in conversation. - File path(s) → copy to `refs/NN-ref-{slug}.{ext}` alongside the output - Pasted image with no path → ask the user for the path (per the User Input Tools rule above), or extract style traits verbally as a text fallback - No reference → skip this section **Usage modes** (per reference): | Usage | Effect | |-------|--------| | `direct` | Pass the file to the backend as a reference image | | `style` | Extract style traits (line treatment, texture, mood) and append to the prompt body | | `palette` | Extract hex colors from the image and append to the prompt body | **Record in `prompts/infographic.md` frontmatter** when refs exist: ```yaml references: - ref_id: 01 filename: 01-ref-brand.png usage: direct ``` **At generation time**: - Verify each referenced file exists on disk - If `usage: direct` AND the chosen backend accepts reference images (e.g., `baoyu-image-gen` via `--ref`) → pass the file via the backend's ref parameter - Otherwise → embed extracted `style`/`palette` traits in the prompt text ## Confirmation Policy Default behavior: **confirm before generation**. - Treat explicit skill invocation, a file path, a matched keyword shortcut, `EXTEND.md` defaults, and the documented default combination as **recommendation inputs only**. None of them authorizes skipping confirmation. - Do **not** start Step 5 or Step 6 until the user confirms the combination/aspect/language/backend choices. - Skip confirmation only when the current request explicitly says to do so, for example: `--no-confirm`, "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 combination/aspect/language/backend in the next user-facing update before generating. ## Options | Option | Values | |--------|--------| | `--layout` | 21 options (see Layout Gallery), default: bento-grid | | `--style` | 22 options (see Style Gallery), default: craft-handmade | | `--aspect` | Named: landscape (16:9), portrait (9:16), square (1:1). Custom: any W:H ratio (e.g., 3:4, 4:3, 2.35:1) | | `--lang` | en, zh, ja, etc. | | `--no-confirm` | Skip Step 4 only when the user explicitly requests direct generation without confirmation | | `--ref <files...>` | Reference images (file paths) for style / palette / composition / subject guidance | ## Layout Gallery (21) | Layout | Best For | |--------|----------| | `linear-progression` | Timelines, processes, tutorials | | `binary-comparison` | A vs B, before-after, pros-cons | | `comparison-matrix` | Multi-factor comparisons | | `hierarchical-layers` | Pyramids, priority levels | | `tree-branching` | Categories, taxonomies | | `hub-spoke` | Central concept with related items | | `structural-breakdown` | Exploded views, cross-sections | | `bento-grid` | Multiple topics, overview (default) | | `iceberg` | Surface vs hidden aspects | | `bridge` | Problem-solution | | `funnel` | Conversion, filtering | | `isometric-map` | Spatial relationships | | `dashboard` | Metrics, KPIs | | `periodic-table` | Categorized collections | | `comic-strip` | Narratives, sequences | | `story-mountain` | Plot structure, tension arcs | | `jigsaw` | Interconnected parts | | `venn-diagram` | Overlapping concepts | | `winding-roadmap` | Journey, milestones | | `circular-flow` | Cycles, recurring processes | | `dense-modules` | High-density modules, data-rich guides | Full definitions live at `references/layouts/<layout>.md`. ## Style Gallery (22) | Style | Description | |-------|-------------| | `craft-handmade` | Hand-drawn, paper craft (default) | | `claymation` | 3D clay figures, stop-motion | | `kawaii` | Japanese cute, pastels | | `storybook-watercolor` | Soft painted, whimsical | | `chalkboard` | Chalk on black board | | `cyberpunk-neon` | Neon glow, futuristic | | `bold-graphic` | Comic style, halftone | | `aged-academia` | Vintage science, sepia | | `corporate-memphis` | Flat vector, vibrant | | `technical-schematic` | Blueprint, engineering | | `origami` | Folded paper, geometric | | `pixel-art` | Retro 8-bit | | `ui-wireframe` | Grayscale interface mockup | | `subway-map` | Transit diagram | | `ikea-manual` | Minimal line art | | `knolling` | Organized flat-lay | | `lego-brick` | Toy brick construction | | `pop-laboratory` | Blueprint grid, coordinate markers, lab precision | | `morandi-journal` | Hand-drawn doodle, warm Morandi tones | | `retro-pop-grid` | 1970s retro pop art, Swiss grid, thick outlines | | `hand-drawn-edu` | Macaron pastels, hand-drawn wobble, stick figures | | `retro-popup-pop` | Retro popup collage, vintage UI, thick outlines, flat pop colors | Full definitions live at `references/styles/<style>.md`. ## Recommended Combinations | Content Type | Layout + Style | |--------------|----------------| | Timeline/History | `linear-progression` + `craft-handmade` | | Step-by-step | `linear-progression` + `ikea-manual` | | A vs B | `binary-comparison` + `corporate-memphis` | | Hierarchy | `hierarchical-layers` + `craft-handmade` | | Overlap | `venn-diagram` + `craft-handmade` | | Conversion | `funnel` + `corporate-memphis` | | Cycles | `circular-flow` + `craft-handmade` | | Technical | `structural-breakdown` + `technical-schematic` | | Metrics | `dashboard` + `corporate-memphis` | | Educational | `bento-grid` + `chalkboard` | | Journey | `winding-roadmap` + `storybook-watercolor` | | Categories | `periodic-table` + `bold-graphic` | | Product Guide | `dense-modules` + `morandi-journal` | | Technical Guide | `dense-modules` + `pop-laboratory` | | Trendy Guide | `dense-modules` + `retro-pop-grid` | | Retro Pop Guide | `dense-modules` + `retro-popup-pop` | | Educational Diagram | `hub-spoke` + `hand-drawn-edu` | | Process Tutorial | `linear-progression` + `hand-drawn-edu` | Default combination: `bento-grid` + `craft-handmade` (fallback recommendation only — per the [Confirmation Policy](#confirmation-policy), defaults never bypass Step 4). ## Keyword Shortcuts When the user's input contains these keywords, use the mapped layout as the leading Step 3 recommendation and promote the listed styles to the top of the Step 3 list. Skip content-based layout inference for matched keywords. Append any `Prompt Notes` to the Step 5 prompt. | User Keyword | Layout | Recommended Styles | Default Aspect | Prompt Notes | |--------------|--------|--------------------|----------------|--------------| | 高密度信息大图 / high-density-info | `dense-modules` | `morandi-journal`, `pop-laboratory`, `retro-pop-grid`, `retro-popup-pop` | portrait | — | | 信息图 / infographic | `bento-grid` | `craft-handmade` | landscape | Minimalist: clean canvas, ample whitespace, no complex background textures. Simple cartoon elements and icons only. | ## Output Structure ``` infographic/{topic-slug}/ ├── source-{slug}.{ext} ├── analysis.md ├── structured-content.md ├── prompts/infographic.md └── infographic.png ``` Slug: 2-4 words kebab-case from topic. Conflict: append `-YYYYMMDD-HHMMSS`. ## Core Principles - Preserve source data faithfully—no summarization or rephrasing (but **strip any credentials, API keys, tokens, or secrets** before including in outputs) - Define learning objectives before structuring content - Structure for visual communication (headlines, labels, visual elements) ## Workflow ### Step 1: Setup & Analyze **1.1 Load Preferences (EXTEND.md)** Check EXTEND.md in priority order — the first one found wins: | Priority | Path | Scope | |----------|------|-------| | 1 | `.baoyu-skills/baoyu-infographic/EXTEND.md` | Project | | 2 | `${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-infographic/EXTEND.md` | XDG | | 3 | `$HOME/.baoyu-skills/baoyu-infographic/EXTEND.md` | User home | | Result | Action | |--------|--------| | Found | Read, parse, display a one-line summary | | Not found | Ask the user with `AskUserQuestion` (see `references/config/first-time-setup.md`) | **EXTEND.md supports**: preferred layout/style, default aspect ratio, language preference, preferred image backend, custom style definitions. Schema: `references/config/preferences-schema.md` **1.2 Analyze Content → `analysis.md`** 1. Save source content (file path or paste → `source.md`) - **Backup rule**: If `source.md` exists, rename to `source-backup-YYYYMMDD-HHMMSS.md` 2. Analyze: topic, data type, complexity, tone, audience 3. Detect source language and user language 4. Extract design instructions from user input 5. Save analysis - **Backup rule**: If `analysis.md` exists, rename to `analysis-backup-YYYYMMDD-HHMMSS.md` See `references/analysis-framework.md` for detailed format. ### Step 2: Generate Structured Content → `structured-content.md` Transform content into infographic structure: 1. Title and learning objectives 2. Sections with: key concept, content (verbatim), visual element, text labels 3. Data points (all statistics/quotes copied exactly) 4. Design instructions from user **Rules**: Markdown only. No new information. Preserve data faithfully. Strip any credentials or secrets from output. See `references/structured-content-template.md` for detailed format. ### Step 3: Recommend Combinations **3.1 Check Keyword Shortcuts first**: If user input matches a keyword from the **Keyword Shortcuts** table, use the associated layout as the leading recommendation and prioritize associated styles as top recommendations. Skip content-based layout inference. **3.2 Otherwise**, recommend 3-5 layout×style combinations based on: - Data structure → matching layout - Content tone → matching style - Audience expectations - User design instructions ### Step 4: Confirm Options **Hard gate**: this step is mandatory per the [Confirmation Policy](#confirmation-policy) — Steps 5–6 cannot start until the user confirms here (or explicitly opts out with `--no-confirm` / equivalent in the current request). Ask the user to confirm the questions below following the [User Input Tools](#user-input-tools) rule at the top of this file (batch into one call if the runtime supports multiple questions; otherwise ask one at a time in priority order). | Priority | Question | When | Options | |----------|----------|------|---------| | 1 | **Combination** | Always | 3+ layout×style combos with rationale | | 2 | **Aspect** | Always | Named presets (landscape/portrait/square) or custom W:H ratio (e.g., 3:4, 4:3, 2.35:1) | | 3 | **Language** | Only if source ≠ user language | Language for text content | | 4 | **Image Backend** | Only if step 3 of the `## Image Generation Tools` rule needs to ask (no runtime-native tool AND multiple non-native backends, OR `preferred_image_backend: ask`) | Available backends | ### Step 5: Generate Prompt → `prompts/infographic.md` **Backup rule**: If `prompts/infographic.md` exists, rename to `prompts/infographic-backup-YYYYMMDD-HHMMSS.md` Combine: 1. Layout definition from `references/layouts/<layout>.md` 2. Style definition from `references/styles/<style>.md` 3. Base template from `references/base-prompt.md` 4. Structured content from Step 2 5. All text in confirmed language **Aspect ratio resolution** for `{{ASPECT_RATIO}}`: - Named presets → ratio string: landscape→`16:9`, portrait→`9:16`, square→`1:1` - Custom W:H ratios → use as-is (e.g., `3:4`, `4:3`, `2.35:1`) ### Step 6: Generate Image 1. Resolve the backend per the `## Image Generation Tools` rule at the top of this file. 2. Ensure the full final prompt is persisted at `prompts/infographic.md` (already written in Step 5) BEFORE invoking the backend — the file is the reproducibility record. 3. **Check for existing file**: Before generating, check if `infographic.png` exists - If exists: Rename to `infographic-backup-YYYYMMDD-HHMMSS.png` 4. Call the chosen backend with the prompt file and output path. - **`codex-imagegen` invocation**: when the rule resolves to `codex-imagegen`, see [references/codex-imagegen.md](references/codex-imagegen.md) for the invocation contract (preferred `baoyu-image-gen --provider codex-cli` path, runtime wrapper discovery, parameter notes, stdout schema, batch semantics). 5. On failure, auto-retry once Text correction policy: - If labels, headings, callouts, data values, or any other rendered text 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. ### Step 7: Output Summary Report: topic, layout, style, aspect, language, image backend, output path, files created. ## References - `references/analysis-framework.md` - Analysis methodology - `references/structured-content-template.md` - Content format - `references/base-prompt.md` - Prompt template - `references/layouts/<layout>.md` - 21 layout definitions - `references/styles/<style>.md` - 21 style definitions ## Changing Preferences EXTEND.md lives at the first matching path in Step 1.1. 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-infographic 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-image-gen` — pin to the baoyu-image-gen skill. - `preferred_image_backend: ask` — confirm backend every run. - `preferred_layout: dense-modules`, `preferred_style: morandi-journal`, `preferred_aspect: portrait`, `language: zh` — shift the Step-3 recommendations and Step-4 defaults (per [Confirmation Policy](#confirmation-policy), these never bypass Step 4).

[{"step":"Define your topic and purpose. Specify whether the infographic is for social media, a presentation, or a report. Use clear language to describe the key points you want to highlight.","tip":"Be specific about the data sources and statistics you want included. The more precise your input, the more accurate the AI’s recommendations will be."},{"step":"Choose a layout type and visual style from the available options (e.g., Statistical Timeline, Comparison Grid, Process Flow). If unsure, let the AI recommend combinations based on your topic.","tip":"For data-heavy topics, opt for layouts like Statistical Timeline or Comparison Grid. For conceptual topics, Process Flow or Mind Map may work better."},{"step":"Provide a color palette if you have branding guidelines. Otherwise, the AI will suggest a professional palette based on your visual style (e.g., Minimalist Corporate uses deep blues and grays).","tip":"Use tools like Coolors.co to generate palettes if you’re unsure. Mention the palette name (e.g., \"Tech Blue\") or hex codes."},{"step":"Review the AI’s generated infographic. Adjust any elements (e.g., data points, icons, or text) for accuracy or emphasis. Export the final version in high resolution (e.g., 1920x1080px, 300 DPI).","tip":"Use Canva or Adobe Illustrator to make minor tweaks if needed. Ensure all text is legible when viewed at smaller sizes (e.g., for social media)."},{"step":"Publish or share the infographic. For social media, resize if necessary (e.g., 1080x1080px for Instagram). For reports, embed as a high-res image or PDF.","tip":"Add alt text for accessibility (e.g., \"Infographic showing remote work trends from 2019 to 2024 with key benefits and challenges\")."}]