guanyang/open-agent-hub/baoyu-comic

Claude Code and agent skill by guanyang/open-agent-hub

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".

Install

npx vskill@latest install guanyang/open-agent-hub/baoyu-comic

SKILL.md

Knowledge Comic Creator

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

Resolve the image backend in this order:

  1. User names a backend in the current message → use it.
  2. `preferred_image_backend` in EXTEND.md names a backend available now → use it. ask means ask every run.
  3. Auto-select (preference auto, unset, or the pinned backend is unavailable), first match wins:
  • 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.
  • 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/codex-imagegen.md only for this branch.
  • Cursor `GenerateImage` → use it (outranks non-native skills). It has no aspect-ratio parameter, so state the aspect ratio / dimensions in the description prompt; it saves to a tool-managed location, so copy the file to the expected output path (e.g., outputs/.../NN-xxx.png). Reference images go in reference_image_paths.
  • Other runtime-native image tool (e.g., Hermes image_generate) → use it the same way.
  • Exactly one non-native backend installed (e.g., baoyu-image-gen) → use it.
  • Several non-native backends → ask the user once, batched with other initial questions.
  1. None available → tell the user and ask how to proceed.

⛔ Raster only: never substitute SVG, HTML/CSS, canvas, or other code-based rendering for a raster image, even for diagram-like content. If no raster backend resolves, go to step 4.

⛔ No bitmap text patching: never use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other overlay to cover, rewrite, erase, stroke, or replace dialogue, sound effects, panel labels, or any other text inside an already generated comic page. Regenerate from a corrected prompt, redraw the page with less or no on-image text, or ask the user which imperfect candidate to keep.

Prompt file (hard): before invoking any backend, write each image's full, final prompt to its own file under prompts/ (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.

Change the pinned backend via ## Changing Preferences below. Tool names above are examples; use the local equivalent in other runtimes.

Batch Generation Policy

After every prompt file for the current generation group is saved and verified, generate images in batches by default:

  1. Use the backend's native batch / multi-task interface if it exists. Each task keeps its own prompt file, output path, aspect ratio, session ID, and direct reference images.
  2. Else, 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 (e.g. --batch-size 4, "并行4张一起生成") overrides EXTEND.md.
  3. Else generate sequentially.

Rules:

  • Honor dependencies: generate characters/characters.png before pages that use it as a reference.
  • Never start the first page batch until all selected page prompt files exist on disk.
  • Retry failed items once without regenerating successful items.
  • Do not use subagents merely to parallelize image rendering; use them only for separate prompt iteration or creative exploration.

Reference Images

User-supplied reference images guide art style, palette, scene composition, or subject. They are separate from the auto-generated character sheet (Step 7.1); both can coexist — user refs guide the look, the character sheet anchors recurring character identity.

Intake via --ref <files...> or file paths / pasted images in conversation:

  • File path(s) → copy to refs/NN-ref-{slug}.{ext} alongside the comic output
  • Pasted image with no path → ask for the path (per User Input Tools), or extract style traits verbally as a text fallback
  • No reference → skip this section

Usage modes (per reference):

UsageEffect
directPass the file to the backend as a reference image on every page (or selected pages)
styleExtract style traits (line treatment, texture, mood) and append to every page's prompt body
paletteExtract hex colors and append to every page's prompt body

Record in each page's prompt frontmatter when refs exist:

yaml
references:
- ref_id: 01
filename: 01-ref-scene.png
usage: direct

At generation time:

  • Verify each referenced file exists on disk
  • usage: direct AND backend accepts multiple refs → pass both the character sheet (Step 7.2) and user refs via the backend's ref parameter; compress images first (Step 7.1) to avoid payload failures
  • Backend accepts only one ref → prefer the character sheet for pages with recurring characters; embed user-ref traits in the prompt body
  • style/palette → embed extracted traits in every page's prompt text regardless of backend

Options

Visual Dimensions
OptionValuesDescription
--artligne-claire (default), manga, realistic, ink-brush, chalk, minimalistArt style / rendering technique
--toneneutral (default), warm, dramatic, romantic, energetic, vintage, actionMood / atmosphere
--layoutstandard (default), cinematic, dense, splash, mixed, webtoon, four-panelPanel arrangement
--aspect3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen)Page aspect ratio
--langauto (default), zh, en, ja, etc.Output language
--ref <files...>File pathsReference images applied to every page for style / palette / scene guidance. See Reference Images above.
--batch-size <n>1-8Temporary page generation batch size for this run. Default: generation_batch_size from EXTEND.md, otherwise 4.
Partial Workflow Options
OptionDescription
--storyboard-onlyGenerate storyboard only, skip prompts and images
--prompts-onlyGenerate storyboard + prompts, skip images
--images-onlyGenerate images from existing prompts directory
--regenerate NRegenerate specific page(s) only (e.g., 3 or 2,5,8)

Details: references/partial-workflows.md

Art, Tone & Preset Catalogue
  • Art styles (6): ligne-claire, manga, realistic, ink-brush, chalk, minimalist → references/art-styles/<style>.md
  • Tones (7): neutral, warm, dramatic, romantic, energetic, vintage, action → references/tones/<tone>.md
  • Layouts: references/layouts/<layout>.md
  • Presets (5), with special rules beyond plain art+tone — load references/presets/<preset>.md when a preset is picked:
PresetEquivalentHook
ohmshamanga + neutralVisual metaphors, no talking heads, gadget reveals
wuxiaink-brush + actionQi effects, combat visuals, atmospheric
shoujomanga + romanticDecorative elements, eye details, romantic beats
concept-storymanga + warmVisual symbol system, growth arc, dialogue+action balance
four-panelminimalist + neutral + four-panel layout起承转合 structure, B&W + spot color, stick-figure characters

Script Directory

Scripts live in this skill's scripts/ subdirectory.

  1. Determine this SKILL.md file's directory path as {baseDir}; script path = {baseDir}/scripts/<script-name>.ts. Replace all {baseDir} in this document with the actual path
  2. Resolve ${BUN_X} runtime: if bun installed → bun; if npx available → npx -y bun; else suggest installing bun
ScriptPurpose
scripts/merge-to-pdf.tsMerge comic pages into PDF

File Structure

Output directory: comic/{topic-slug}/

  • Slug: 2-4 words kebab-case from topic (e.g., alan-turing-bio)
  • Conflict: append timestamp (e.g., turing-story-20260118-143052)

Contents:

FileDescription
source-{slug}.{ext}Source files
analysis.mdContent analysis
storyboard.mdStoryboard with panel breakdown
characters/characters.mdCharacter definitions
characters/characters.pngCharacter reference sheet
`prompts/NN-{cover\page}-[slug].md`Generation prompts
`NN-{cover\page}-[slug].png`Generated images
{topic-slug}.pdfFinal merged PDF

Language Handling

Detection priority: --lang flag → EXTEND.md language → user's conversation language → source content language.

Use that language for ALL interactions: storyboard outlines and scene descriptions, image prompts, selection options and confirmations, progress updates, questions, errors, summaries. Technical terms remain in English.

Workflow

Full step-by-step details (analysis, confirmation questions, storyboard, review gates, prompts, regeneration variants): references/workflow.md.

Comic Progress:
- [ ] Step 1: Setup & Analyze
- [ ] 1.1 Preferences (EXTEND.md) ⛔ BLOCKING
- [ ] Found → load preferences → continue
- [ ] Not found → run first-time setup → MUST complete before other steps
- [ ] 1.2 Analyze, 1.3 Check existing
- [ ] Step 2: Confirmation - Style & options ⚠️ REQUIRED
- [ ] Step 3: Generate storyboard + characters
- [ ] Step 4: Review outline (conditional)
- [ ] Step 5: Generate prompts
- [ ] Step 6: Review prompts (conditional)
- [ ] Step 7: Generate images
- [ ] 7.1 Generate character sheet (if needed) → characters/characters.png
- [ ] 7.2 Generate pages (with --ref if character sheet exists)
- [ ] Step 8: Merge to PDF
- [ ] Step 9: Completion report
  • Step 2 confirmation is required — do not skip. Steps 4/6 run only if the user requested them in Step 2.
Step 7: Image Generation

Pick a backend once per session using ## Image Generation Tools. If the backend is a repo skill (e.g., baoyu-image-gen), read its SKILL.md and use its documented interface rather than its scripts. For codex-imagegen, see references/codex-imagegen.md (n=1 per call, so page batches dispatch one wrapper call per page).

7.1 Character sheet — generate (to characters/characters.png, aspect 4:3) when the comic is multi-page with recurring characters. Skip for simple presets (e.g., four-panel minimalist) or single-page comics. Compress to JPEG before using as --ref (sips -s format jpeg -s formatOptions 80 … on macOS, pngquant --quality=65-80 … elsewhere) to avoid payload failures. characters/characters.md must exist before invoking the backend.

This is the start of the file. Read the full SKILL.md on GitHub.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
985
Repository forks
164
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/guanyang/open-agent-hub/baoyu-comic/badge)](https://verified-skill.com/skills/guanyang/open-agent-hub/baoyu-comic)

Something wrong with this skill or its page? Tell us.