[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7D5P4BPDF7VQW6EX01VHQCS":3,"skill-same:01M7D5P4BPDF7VQW6EX01VHQCS":206},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":20,"linkOnly":21,"markdownContent":22,"markdownBody":23,"frontMatter":24,"refName":29,"commitSha":30,"skillDirectory":5,"forksCount":31,"repositoryHtmlUrl":32,"repositoryHomepageUrl":33,"ownerHtmlUrl":34,"ownerBlogUrl":35,"ownerDescription":36,"updatedAt":37,"install":38,"resources":51},"01M7D5P4BPDF7VQW6EX01VHQCS","baoyu-article-illustrator",null,"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\".","tangyixiao\u002Ftangyixiao-skills","tangyixiao","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F115929632?v=4","01M7D582YK6A4M63CAK4CSY4EW","Tang Yixiao","01M7D582Z64DMRSYR872SR34SA",2,"MIT","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: baoyu-article-illustrator\ndescription: Analyzes article structure, identifies positions requiring visual aids,\n  generates illustrations with Type × Style × Palette three-dimension approach. Use\n  when user asks to \"illustrate article\", \"add images\", \"generate images for article\",\n  or \"为文章配图\".\nmetadata:\n  openclaw:\n    homepage: https:\u002F\u002Fgithub.com\u002FJimLiu\u002Fbaoyu-skills#baoyu-article-illustrator\n  upstream-version: 1.117.4\n---\n\n# Article Illustrator\n\n## User Input Tools\n\nWhen this skill prompts the user, follow this tool-selection rule (priority order):\n\n1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.\n2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number\u002Fanswer for each question.\n3. **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.\n\nConcrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.\n\n## Image Generation Tools\n\nResolve the image backend in this order:\n\n1. **User names a backend** in the current message → use it.\n2. **`preferred_image_backend`** in `EXTEND.md` names a backend available now → use it. `ask` means ask every run.\n3. **Auto-select** (preference `auto`, unset, or the pinned backend is unavailable), first match wins:\n   - **Codex `imagegen`** skill is in your available skills → you are in Codex and MUST use it: `Skill` with `skill: \"imagegen\"`, passing the prompt file's content plus output path and aspect ratio. It outranks non-native skills such as `baoyu-image-gen`.\n   - **Codex via `codex exec` (`codex-imagegen`)**: no native `imagegen`, but the `codex` CLI is on `PATH` with an active `codex login` → `baoyu-image-gen --provider codex-cli` (preferred), or the bundled wrapper if baoyu-image-gen is unavailable. Load [references\u002Fcodex-imagegen.md](references\u002Fcodex-imagegen.md) only for this branch.\n   - **Cursor `GenerateImage`** → use it (outranks non-native skills). It has no aspect-ratio parameter, so state the aspect ratio \u002F dimensions in the `description` prompt; it saves to a tool-managed location, so copy the file to the expected output path (e.g., `outputs\u002F...\u002FNN-xxx.png`). Reference images go in `reference_image_paths`.\n   - **Other runtime-native image tool** (e.g., Hermes `image_generate`) → use it the same way.\n   - Exactly one non-native backend installed (e.g., `baoyu-image-gen`) → use it.\n   - Several non-native backends → ask the user once, batched with other initial questions.\n4. **None available** → tell the user and ask how to proceed.\n\n**⛔ Raster only**: never substitute SVG, HTML\u002FCSS, canvas, or other code-based rendering for a raster image, even for diagram-like content. If no raster backend resolves, go to step 4.\n\n**⛔ No bitmap text patching**: never use ImageMagick, Pillow, Canvas, SVG, HTML\u002FCSS, OCR scripts, or any other overlay to cover, rewrite, erase, stroke, or replace labels, captions, or any other text inside an already generated illustration. Regenerate from a corrected prompt, redraw with less or no on-image text, or ask the user which imperfect candidate to keep.\n\n**Prompt file (hard)**: before invoking any backend, write each image's full, final prompt to its own file under `prompts\u002F` (`NN-{type}-[slug].md`) and pass that file (or its content) to the backend. It is the reproducibility record and lets you switch backends without rewriting prompts.\n\nChange the pinned backend via `## Changing Preferences` below. Tool names above are examples; use the local equivalent in other runtimes.\n\n## Batch Generation Policy\n\nAfter every prompt file for the run has been saved and verified, generate images in batches by default:\n\n1. Use the chosen backend's native batch \u002F multi-task interface if it exists. Each task keeps its own prompt file, output path, aspect ratio, and direct reference images.\n2. Otherwise, if the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time (default `4`). An explicit request in the current message (`--batch-size 4`, \"并行4张一起生成\") overrides EXTEND.md.\n3. Otherwise generate sequentially.\n\n- Never start a batch until all its prompt files exist on disk.\n- Retry failed items once without regenerating successful ones.\n- Don't use subagents just to parallelize rendering; only for separate per-image prompt iteration or creative exploration.\n\n## Confirmation Policy\n\nDefault: **confirm before generation**.\n\n- Explicit skill invocation, a file path, matched signals\u002Fpresets, and `EXTEND.md` defaults are recommendation inputs only — none authorizes skipping confirmation.\n- Do not start Step 4 or later until the user completes Step 3.\n- Skip confirmation only when the current request explicitly says so (\"直接生成\", \"不用确认\", \"跳过确认\", \"按默认出图\", or equivalent). Then state the assumed type \u002F density \u002F style \u002F palette \u002F language \u002F backend in the next user-facing update before generating.\n\n## Reference Images\n\nUsers may supply refs via `--ref \u003Cfiles...>`, file paths, or pasted images; they guide style, palette, composition, or subject. Step 1.0 in [references\u002Fworkflow.md](references\u002Fworkflow.md) saves them to `references\u002FNN-ref-{slug}.{ext}`; Step 5.3 processes per-illustration usage `direct | style | palette`. When the backend supports batch input, propagate `direct` entries from each prompt file's `references:` frontmatter into its batch task (e.g. `baoyu-image-gen` accepts `ref` per task).\n\n## Three Dimensions\n\n| Dimension | Controls | Values |\n|-----------|----------|--------|\n| **Type** | Information structure | `infographic` (data, metrics, technical), `scene` (narrative, emotional), `flowchart` (processes), `comparison` (side-by-side), `framework` (models, architecture), `timeline` (history, evolution) |\n| **Style** | Rendering approach | See [references\u002Fstyles.md](references\u002Fstyles.md) (Core Styles, gallery, Type × Style compatibility) |\n| **Palette** | Color scheme (optional) | macaron, warm, neon — overrides style's default colors |\n\nCombine freely (`--type infographic --style vector-illustration --palette macaron`) or use `--preset edu-visual` for type + style + palette in one flag ([references\u002Fstyle-presets.md](references\u002Fstyle-presets.md)). Command syntax and options: [references\u002Fusage.md](references\u002Fusage.md).\n\n## Workflow\n\n```\n- [ ] Step 1: Pre-check (EXTEND.md, references, config)\n- [ ] Step 2: Analyze content\n- [ ] Step 3: Confirm settings (AskUserQuestion)\n- [ ] Step 4: Generate outline\n- [ ] Step 5: Generate images\n- [ ] Step 6: Finalize\n```\n\nDetailed procedures for every step: [references\u002Fworkflow.md](references\u002Fworkflow.md).\n\n### Step 1: Pre-check\n\n**1.5 Load Preferences (EXTEND.md) ⛔ BLOCKING** — first match wins:\n\n| Priority | Path | Scope |\n|----------|------|-------|\n| 1 | `.baoyu-skills\u002Fbaoyu-article-illustrator\u002FEXTEND.md` | Project |\n| 2 | `${XDG_CONFIG_HOME:-$HOME\u002F.config}\u002Fbaoyu-skills\u002Fbaoyu-article-illustrator\u002FEXTEND.md` | XDG |\n| 3 | `$HOME\u002F.baoyu-skills\u002Fbaoyu-article-illustrator\u002FEXTEND.md` | User home |\n\nFound → read, parse, display summary. Not found → ⛔ run [first-time-setup](references\u002Fconfig\u002Ffirst-time-setup.md) before anything else.\n\nAlso: save reference images (1.0), determine input type and output dir (1.1–1.4). See [workflow.md](references\u002Fworkflow.md#step-1-pre-check).\n\n### Step 2: Analyze\n\nDetermine content type (Technical \u002F Tutorial \u002F Methodology \u002F Narrative), purpose (information \u002F visualization \u002F imagination), 2-5 core arguments, and positions where illustrations add value. Metaphors → visualize the underlying concept, never the literal image. See [workflow.md](references\u002Fworkflow.md#step-2-setup--analyze).\n\n### Step 3: Confirm Settings ⚠️\n\n**Hard gate** per the [Confirmation Policy](#confirmation-policy). ONE AskUserQuestion, max 4 Qs. Q1-Q2 required; Q3 required unless a preset was chosen.\n\n| Q | Options |\n|---|---------|\n| **Q1: Preset or Type** | [Recommended preset], [alt preset], or manual: infographic, scene, flowchart, comparison, framework, timeline, mixed |\n| **Q2: Density** | minimal (1-2), balanced (3-5), per-section (Recommended), rich (6+) |\n| **Q3: Style** | [Recommended], minimal-flat, sci-fi, hand-drawn, editorial, scene, poster, Other — **skip if preset chosen** |\n| Q4: Palette | Default (style colors), macaron, warm, neon — **skip if preset includes palette or preferred_palette set** |\n| Q5: Language | When article language ≠ EXTEND.md setting |\n\nSee [workflow.md](references\u002Fworkflow.md#step-3-confirm-settings-).\n\n### Step 4: Generate Outline\n\nSave `outline.md` with frontmatter (type, density, style, palette, image_count) and one entry per illustration (Position, Purpose, Visual Content, Filename `01-infographic-concept-name.png`). Template: [workflow.md](references\u002Fworkflow.md#step-4-generate-outline).\n\n### Step 5: Generate Images\n\n⛔ **Prompt files MUST be saved before ANY image generation**, whatever the backend.\n\n1. Per illustration, write `prompts\u002FNN-{type}-{slug}.md` (YAML frontmatter) per [references\u002Fprompt-construction.md](references\u002Fprompt-construction.md): type-specific template with ZONES \u002F LABELS \u002F COLORS \u002F STYLE \u002F ASPECT; LABELS use article-specific data (actual numbers, terms, metrics, quotes). Never pass ad-hoc inline prompts to `--prompt` without saving prompt files first.\n2. Select the backend once per session via `## Image Generation Tools`. For `codex-imagegen`, see [references\u002Fcodex-imagegen.md](references\u002Fcodex-imagegen.md).\n3. Process references (`direct`\u002F`style`\u002F`palette`) per prompt frontmatter; apply watermark if EXTEND.md enables it.\n4. Generate from saved prompt files per `## Batch Generation Policy`; retry once on failure.\n\nSee [workflow.md](references\u002Fworkflow.md#step-5-generate-images).\n\n### Step 6: Finalize\n\nInsert `![description]({relative-path}\u002FNN-{type}-{slug}.png)` after the corresponding paragraph (path relative to the article file, per Output Directory), then print the completion summary ([workflow.md](references\u002Fworkflow.md#step-6-finalize)).\n\n## Output Directory\n\nSet by `default_output_dir` in EXTEND.md:\n\n| `default_output_dir` | Output Path | Markdown Insert Path |\n|----------------------|-------------|----------------------|\n| `imgs-subdir` (default) | `{article-dir}\u002Fimgs\u002F` | `imgs\u002FNN-{type}-{slug}.png` |\n| `same-dir` | `{article-dir}\u002F` | `NN-{type}-{slug}.png` |\n| `illustrations-subdir` | `{article-dir}\u002Fillustrations\u002F` | `illustrations\u002FNN-{type}-{slug}.png` |\n| `independent` | `illustrations\u002F{topic-slug}\u002F` | `illustrations\u002F{topic-slug}\u002FNN-{type}-{slug}.png` (relative to cwd) |\n\n```\n{output-dir}\u002F\n├── outline.md\n├── prompts\u002F\n│   └── NN-{type}-{slug}.md\n└── NN-{type}-{slug}.png\n```\n\nPasted content (no file path) always uses `illustrations\u002F{topic-slug}\u002F` with `source-{slug}.{ext}` saved alongside. **Slug**: 2-4 words, kebab-case. **Conflict**: append `-YYYYMMDD-HHMMSS`.\n\n## Modification\n\n| Action | Steps |\n|--------|-------|\n| Edit | Update prompt → Regenerate → Update reference |\n| Add | Position → Prompt → Generate → Update outline → Insert |\n| Delete | Delete files → Remove reference → Update outline |\n\nText correction: never patch misspelled, garbled, or weak rendered text in the bitmap with code. Write a new prompt file and a new output path so the flawed candidate is kept for comparison. Post-processing is limited to crop, resize, compression, or format conversion that doesn't alter text or composition.\n\n## Changing Preferences\n\nEXTEND.md lives at the first matching path in Step 1.5. Edit it directly (schema: [references\u002Fconfig\u002Fpreferences-schema.md](references\u002Fconfig\u002Fpreferences-schema.md)), or delete it \u002F ask \"reconfigure baoyu-article-illustrator preferences\" \u002F \"重新配置\" to re-run first-time setup. Common edits:\n\n- `preferred_image_backend`: `auto` (default; runtime-native wins, else the only installed backend, ask if multiple non-native) | `codex-imagegen` | `baoyu-image-gen` | `ask` (confirm every run)\n- `generation_batch_size: 4` — concurrent renders when parallel calls are supported\n- `preferred_type: infographic`, `preferred_style: notion`, `preferred_palette: macaron`, `language: zh`\n- `default_output_dir: imgs-subdir`\n","# Article Illustrator\n\n## User Input Tools\n\nWhen this skill prompts the user, follow this tool-selection rule (priority order):\n\n1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.\n2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number\u002Fanswer for each question.\n3. **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.\n\nConcrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.\n\n## Image Generation Tools\n\nResolve the image backend in this order:\n\n1. **User names a backend** in the current message → use it.\n2. **`preferred_image_backend`** in `EXTEND.md` names a backend available now → use it. `ask` means ask every run.\n3. **Auto-select** (preference `auto`, unset, or the pinned backend is unavailable), first match wins:\n   - **Codex `imagegen`** skill is in your available skills → you are in Codex and MUST use it: `Skill` with `skill: \"imagegen\"`, passing the prompt file's content plus output path and aspect ratio. It outranks non-native skills such as `baoyu-image-gen`.\n   - **Codex via `codex exec` (`codex-imagegen`)**: no native `imagegen`, but the `codex` CLI is on `PATH` with an active `codex login` → `baoyu-image-gen --provider codex-cli` (preferred), or the bundled wrapper if baoyu-image-gen is unavailable. Load [references\u002Fcodex-imagegen.md](references\u002Fcodex-imagegen.md) only for this branch.\n   - **Cursor `GenerateImage`** → use it (outranks non-native skills). It has no aspect-ratio parameter, so state the aspect ratio \u002F dimensions in the `description` prompt; it saves to a tool-managed location, so copy the file to the expected output path (e.g., `outputs\u002F...\u002FNN-xxx.png`). Reference images go in `reference_image_paths`.\n   - **Other runtime-native image tool** (e.g., Hermes `image_generate`) → use it the same way.\n   - Exactly one non-native backend installed (e.g., `baoyu-image-gen`) → use it.\n   - Several non-native backends → ask the user once, batched with other initial questions.\n4. **None available** → tell the user and ask how to proceed.\n\n**⛔ Raster only**: never substitute SVG, HTML\u002FCSS, canvas, or other code-based rendering for a raster image, even for diagram-like content. If no raster backend resolves, go to step 4.\n\n**⛔ No bitmap text patching**: never use ImageMagick, Pillow, Canvas, SVG, HTML\u002FCSS, OCR scripts, or any other overlay to cover, rewrite, erase, stroke, or replace labels, captions, or any other text inside an already generated illustration. Regenerate from a corrected prompt, redraw with less or no on-image text, or ask the user which imperfect candidate to keep.\n\n**Prompt file (hard)**: before invoking any backend, write each image's full, final prompt to its own file under `prompts\u002F` (`NN-{type}-[slug].md`) and pass that file (or its content) to the backend. It is the reproducibility record and lets you switch backends without rewriting prompts.\n\nChange the pinned backend via `## Changing Preferences` below. Tool names above are examples; use the local equivalent in other runtimes.\n\n## Batch Generation Policy\n\nAfter every prompt file for the run has been saved and verified, generate images in batches by default:\n\n1. Use the chosen backend's native batch \u002F multi-task interface if it exists. Each task keeps its own prompt file, output path, aspect ratio, and direct reference images.\n2. Otherwise, if the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time (default `4`). An explicit request in the current message (`--batch-size 4`, \"并行4张一起生成\") overrides EXTEND.md.\n3. Otherwise generate sequentially.\n\n- Never start a batch until all its prompt files exist on disk.\n- Retry failed items once without regenerating successful ones.\n- Don't use subagents just to parallelize rendering; only for separate per-image prompt iteration or creative exploration.\n\n## Confirmation Policy\n\nDefault: **confirm before generation**.\n\n- Explicit skill invocation, a file path, matched signals\u002Fpresets, and `EXTEND.md` defaults are recommendation inputs only — none authorizes skipping confirmation.\n- Do not start Step 4 or later until the user completes Step 3.\n- Skip confirmation only when the current request explicitly says so (\"直接生成\", \"不用确认\", \"跳过确认\", \"按默认出图\", or equivalent). Then state the assumed type \u002F density \u002F style \u002F palette \u002F language \u002F backend in the next user-facing update before generating.\n\n## Reference Images\n\nUsers may supply refs via `--ref \u003Cfiles...>`, file paths, or pasted images; they guide style, palette, composition, or subject. Step 1.0 in [references\u002Fworkflow.md](references\u002Fworkflow.md) saves them to `references\u002FNN-ref-{slug}.{ext}`; Step 5.3 processes per-illustration usage `direct | style | palette`. When the backend supports batch input, propagate `direct` entries from each prompt file's `references:` frontmatter into its batch task (e.g. `baoyu-image-gen` accepts `ref` per task).\n\n## Three Dimensions\n\n| Dimension | Controls | Values |\n|-----------|----------|--------|\n| **Type** | Information structure | `infographic` (data, metrics, technical), `scene` (narrative, emotional), `flowchart` (processes), `comparison` (side-by-side), `framework` (models, architecture), `timeline` (history, evolution) |\n| **Style** | Rendering approach | See [references\u002Fstyles.md](references\u002Fstyles.md) (Core Styles, gallery, Type × Style compatibility) |\n| **Palette** | Color scheme (optional) | macaron, warm, neon — overrides style's default colors |\n\nCombine freely (`--type infographic --style vector-illustration --palette macaron`) or use `--preset edu-visual` for type + style + palette in one flag ([references\u002Fstyle-presets.md](references\u002Fstyle-presets.md)). Command syntax and options: [references\u002Fusage.md](references\u002Fusage.md).\n\n## Workflow\n\n```\n- [ ] Step 1: Pre-check (EXTEND.md, references, config)\n- [ ] Step 2: Analyze content\n- [ ] Step 3: Confirm settings (AskUserQuestion)\n- [ ] Step 4: Generate outline\n- [ ] Step 5: Generate images\n- [ ] Step 6: Finalize\n```\n\nDetailed procedures for every step: [references\u002Fworkflow.md](references\u002Fworkflow.md).\n\n### Step 1: Pre-check\n\n**1.5 Load Preferences (EXTEND.md) ⛔ BLOCKING** — first match wins:\n\n| Priority | Path | Scope |\n|----------|------|-------|\n| 1 | `.baoyu-skills\u002Fbaoyu-article-illustrator\u002FEXTEND.md` | Project |\n| 2 | `${XDG_CONFIG_HOME:-$HOME\u002F.config}\u002Fbaoyu-skills\u002Fbaoyu-article-illustrator\u002FEXTEND.md` | XDG |\n| 3 | `$HOME\u002F.baoyu-skills\u002Fbaoyu-article-illustrator\u002FEXTEND.md` | User home |\n\nFound → read, parse, display summary. Not found → ⛔ run [first-time-setup](references\u002Fconfig\u002Ffirst-time-setup.md) before anything else.\n\nAlso: save reference images (1.0), determine input type and output dir (1.1–1.4). See [workflow.md](references\u002Fworkflow.md#step-1-pre-check).\n\n### Step 2: Analyze\n\nDetermine content type (Technical \u002F Tutorial \u002F Methodology \u002F Narrative), purpose (information \u002F visualization \u002F imagination), 2-5 core arguments, and positions where illustrations add value. Metaphors → visualize the underlying concept, never the literal image. See [workflow.md](references\u002Fworkflow.md#step-2-setup--analyze).\n\n### Step 3: Confirm Settings ⚠️\n\n**Hard gate** per the [Confirmation Policy](#confirmation-policy). ONE AskUserQuestion, max 4 Qs. Q1-Q2 required; Q3 required unless a preset was chosen.\n\n| Q | Options |\n|---|---------|\n| **Q1: Preset or Type** | [Recommended preset], [alt preset], or manual: infographic, scene, flowchart, comparison, framework, timeline, mixed |\n| **Q2: Density** | minimal (1-2), balanced (3-5), per-section (Recommended), rich (6+) |\n| **Q3: Style** | [Recommended], minimal-flat, sci-fi, hand-drawn, editorial, scene, poster, Other — **skip if preset chosen** |\n| Q4: Palette | Default (style colors), macaron, warm, neon — **skip if preset includes palette or preferred_palette set** |\n| Q5: Language | When article language ≠ EXTEND.md setting |\n\nSee [workflow.md](references\u002Fworkflow.md#step-3-confirm-settings-).\n\n### Step 4: Generate Outline\n\nSave `outline.md` with frontmatter (type, density, style, palette, image_count) and one entry per illustration (Position, Purpose, Visual Content, Filename `01-infographic-concept-name.png`). Template: [workflow.md](references\u002Fworkflow.md#step-4-generate-outline).\n\n### Step 5: Generate Images\n\n⛔ **Prompt files MUST be saved before ANY image generation**, whatever the backend.\n\n1. Per illustration, write `prompts\u002FNN-{type}-{slug}.md` (YAML frontmatter) per [references\u002Fprompt-construction.md](references\u002Fprompt-construction.md): type-specific template with ZONES \u002F LABELS \u002F COLORS \u002F STYLE \u002F ASPECT; LABELS use article-specific data (actual numbers, terms, metrics, quotes). Never pass ad-hoc inline prompts to `--prompt` without saving prompt files first.\n2. Select the backend once per session via `## Image Generation Tools`. For `codex-imagegen`, see [references\u002Fcodex-imagegen.md](references\u002Fcodex-imagegen.md).\n3. Process references (`direct`\u002F`style`\u002F`palette`) per prompt frontmatter; apply watermark if EXTEND.md enables it.\n4. Generate from saved prompt files per `## Batch Generation Policy`; retry once on failure.\n\nSee [workflow.md](references\u002Fworkflow.md#step-5-generate-images).\n\n### Step 6: Finalize\n\nInsert `![description]({relative-path}\u002FNN-{type}-{slug}.png)` after the corresponding paragraph (path relative to the article file, per Output Directory), then print the completion summary ([workflow.md](references\u002Fworkflow.md#step-6-finalize)).\n\n## Output Directory\n\nSet by `default_output_dir` in EXTEND.md:\n\n| `default_output_dir` | Output Path | Markdown Insert Path |\n|----------------------|-------------|----------------------|\n| `imgs-subdir` (default) | `{article-dir}\u002Fimgs\u002F` | `imgs\u002FNN-{type}-{slug}.png` |\n| `same-dir` | `{article-dir}\u002F` | `NN-{type}-{slug}.png` |\n| `illustrations-subdir` | `{article-dir}\u002Fillustrations\u002F` | `illustrations\u002FNN-{type}-{slug}.png` |\n| `independent` | `illustrations\u002F{topic-slug}\u002F` | `illustrations\u002F{topic-slug}\u002FNN-{type}-{slug}.png` (relative to cwd) |\n\n```\n{output-dir}\u002F\n├── outline.md\n├── prompts\u002F\n│   └── NN-{type}-{slug}.md\n└── NN-{type}-{slug}.png\n```\n\nPasted content (no file path) always uses `illustrations\u002F{topic-slug}\u002F` with `source-{slug}.{ext}` saved alongside. **Slug**: 2-4 words, kebab-case. **Conflict**: append `-YYYYMMDD-HHMMSS`.\n\n## Modification\n\n| Action | Steps |\n|--------|-------|\n| Edit | Update prompt → Regenerate → Update reference |\n| Add | Position → Prompt → Generate → Update outline → Insert |\n| Delete | Delete files → Remove reference → Update outline |\n\nText correction: never patch misspelled, garbled, or weak rendered text in the bitmap with code. Write a new prompt file and a new output path so the flawed candidate is kept for comparison. Post-processing is limited to crop, resize, compression, or format conversion that doesn't alter text or composition.\n\n## Changing Preferences\n\nEXTEND.md lives at the first matching path in Step 1.5. Edit it directly (schema: [references\u002Fconfig\u002Fpreferences-schema.md](references\u002Fconfig\u002Fpreferences-schema.md)), or delete it \u002F ask \"reconfigure baoyu-article-illustrator preferences\" \u002F \"重新配置\" to re-run first-time setup. Common edits:\n\n- `preferred_image_backend`: `auto` (default; runtime-native wins, else the only installed backend, ask if multiple non-native) | `codex-imagegen` | `baoyu-image-gen` | `ask` (confirm every run)\n- `generation_batch_size: 4` — concurrent renders when parallel calls are supported\n- `preferred_type: infographic`, `preferred_style: notion`, `preferred_palette: macaron`, `language: zh`\n- `default_output_dir: imgs-subdir`\n",{"name":5,"metadata":25,"description":7},{"openclaw":26,"upstream-version":28},{"homepage":27},"https:\u002F\u002Fgithub.com\u002FJimLiu\u002Fbaoyu-skills#baoyu-article-illustrator","1.117.4","main","2a870f189175a48c39f5f7e26a6d93b0be9cd13b",0,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills","https:\u002F\u002Ftangyixiao.github.io\u002Ftangyixiao-skills\u002F","https:\u002F\u002Fgithub.com\u002Ftangyixiao","http:\u002F\u002Fwww.sxyz.net\u002F","I am Tang Yixiao, a student in Shaoxing No.1 High School. I am eager to learn on GitHub and contribute my part to this community.","2026-11-11 15:45:59",{"source":8,"skillName":5,"commands":39,"prompt":49,"zipAvailable":50},[40,43,46],{"tool":41,"command":42},"npx","npx skills add tangyixiao\u002Ftangyixiao-skills --skill baoyu-article-illustrator",{"tool":44,"command":45},"bunx","bunx skills add tangyixiao\u002Ftangyixiao-skills --skill baoyu-article-illustrator",{"tool":47,"command":48},"pnpm","pnpm dlx skills add tangyixiao\u002Ftangyixiao-skills --skill baoyu-article-illustrator","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002FSKILL.md",true,[52,58,62,66,70,74,78,82,86,90,94,98,102,106,110,114,118,122,126,130,134,138,142,146,150,154,158,162,166,170,174,178,182,186,190,194,198,202],{"path":53,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":56,"sourceHtmlUrl":57},"INSTALL-SOURCE.json","REFERENCE","参考文档",570,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002FINSTALL-SOURCE.json",{"path":59,"resourceType":59,"resourceTypeDesc":60,"sizeBytes":61,"sourceHtmlUrl":16},"LICENSE","许可证",1064,{"path":63,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":64,"sourceHtmlUrl":65},"prompts\u002Fsystem.md",1080,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Fprompts\u002Fsystem.md",{"path":67,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":68,"sourceHtmlUrl":69},"references\u002Fcodex-imagegen.md",3717,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fcodex-imagegen.md",{"path":71,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":72,"sourceHtmlUrl":73},"references\u002Fconfig\u002Ffirst-time-setup.md",3398,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fconfig\u002Ffirst-time-setup.md",{"path":75,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Fconfig\u002Fpreferences-schema.md",3915,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fconfig\u002Fpreferences-schema.md",{"path":79,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":80,"sourceHtmlUrl":81},"references\u002Fpalettes\u002Fmacaron.md",1339,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fpalettes\u002Fmacaron.md",{"path":83,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":84,"sourceHtmlUrl":85},"references\u002Fpalettes\u002Fmono-ink.md",1780,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fpalettes\u002Fmono-ink.md",{"path":87,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":88,"sourceHtmlUrl":89},"references\u002Fpalettes\u002Fneon.md",1025,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fpalettes\u002Fneon.md",{"path":91,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":92,"sourceHtmlUrl":93},"references\u002Fpalettes\u002Fwarm.md",1036,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fpalettes\u002Fwarm.md",{"path":95,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":96,"sourceHtmlUrl":97},"references\u002Fprompt-construction.md",15276,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fprompt-construction.md",{"path":99,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":100,"sourceHtmlUrl":101},"references\u002Fstyle-presets.md",5306,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fstyle-presets.md",{"path":103,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":104,"sourceHtmlUrl":105},"references\u002Fstyles.md",10241,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fstyles.md",{"path":107,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":108,"sourceHtmlUrl":109},"references\u002Fstyles\u002Fblueprint.md",1844,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fstyles\u002Fblueprint.md",{"path":111,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":112,"sourceHtmlUrl":113},"references\u002Fstyles\u002Fchalkboard.md",2249,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fstyles\u002Fchalkboard.md",{"path":115,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":116,"sourceHtmlUrl":117},"references\u002Fstyles\u002Feditorial.md",1722,"https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fbaoyu-article-illustrator\u002Freferences\u002Fstyles\u002Feditorial.md",{"path":119,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":120,"sourceHtmlUrl":121},"references\u002Fstyles\u002Felegant.md",1733,"https:\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this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fxlsx\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fxlsx\u002FSKILL.md",[],[],{"skillNo":217,"name":218,"nameZh":6,"description":219,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":220,"sourceHtmlUrl":221,"categories":222,"keywords":223,"publishedAt":20},"01M7D8JG8ERGGQQAMX0DWCG9GR","writing-shape","Writing, exploit: shape raw material into an article, paragraph by paragraph.","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-shape\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-shape\u002FSKILL.md",[],[],{"skillNo":225,"name":226,"nameZh":6,"description":227,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":228,"sourceHtmlUrl":229,"categories":230,"keywords":231,"publishedAt":20},"01M7D8JE672GW3EHSE8EF185M4","writing-fragments","Writing, explore: mine raw fragments, no structure yet.","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-fragments\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-fragments\u002FSKILL.md",[],[],{"skillNo":233,"name":234,"nameZh":6,"description":235,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":236,"sourceHtmlUrl":237,"categories":238,"keywords":239,"publishedAt":20},"01M7D8JBK572YDFMND8Q6CEYJW","writing-for-agents","Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-for-agents\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-for-agents\u002FSKILL.md",[],[],{"skillNo":241,"name":242,"nameZh":6,"description":243,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":244,"sourceHtmlUrl":245,"categories":246,"keywords":247,"publishedAt":20},"01M7D8J5QPWEXX61EGBKYH73R8","writing-clearly-and-concisely","Use when writing prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Applies Strunk's timeless rules for clearer, stronger, more professional writing.","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-clearly-and-concisely\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-clearly-and-concisely\u002FSKILL.md",[],[],{"skillNo":249,"name":250,"nameZh":6,"description":251,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":252,"sourceHtmlUrl":253,"categories":254,"keywords":255,"publishedAt":20},"01M7D8J36YWC8WZS5DK5AH03CD","writing-beats","Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-beats\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Ftangyixiao\u002Ftangyixiao-skills\u002Fblob\u002Fmain\u002Fwriting-beats\u002FSKILL.md",[],[]]