# Create Educational Knowledge Comics

Educational topics can be difficult to explain with plain text and generic visuals. This skill turns source material into structured comic plans, image prompts, and export-ready pages.

## Install

```bash
npx skillstore add jimliu/baoyu-comic
```

## Metadata

- Status: approved
- Slug: jimliu-baoyu-comic
- Version: 1.117.4
- Author version: 1.117.4
- Skillstore revision: r2
- Version status: valid
- Tree hash: 809b7eddfd2040d77d84c902c0b0e0fd9b1886ebc6ec9084f59805bbc7fa8eac
- Author: JimLiu
- GitHub username: JimLiu
- License: MIT
- Repository: https://github.com/JimLiu/baoyu-skills/tree/main/skills/baoyu-comic/
- Ref: 1c2ebded2116f8124f45dba86a2e567f56e64d8e
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: filesystem, env\_access, external\_commands, network
- Quality score: 85
- Quality tier: gold
- Public page: https://skillstore.pages.dev/skills/jimliu-baoyu-comic
- Manifest: https://skillstore.pages.dev/api/skills/jimliu-baoyu-comic/manifest

## Capabilities

- Analyzes a topic and proposes a comic narrative with characters, scenes, and learning goals.
- Creates panel-by-panel storyboards and standalone image prompts.
- Supports six art styles, seven tones, seven layouts, language selection, and reference images.
- Generates character sheets and page images through an available image backend.
- Merges numbered comic page images into a PDF with the bundled script.

## Use Cases

- Explain a technical concept: Turn a complex subject such as machine learning into a visual lesson with progressive panels and concrete metaphors.
- Create a biography comic: Transform a person's timeline into a readable story with period-aware characters, scenes, and a clear educational conclusion.
- Publish a short social comic: Choose a compact layout and tone to produce a focused four-panel or vertical comic for a social channel.

## Prompt Templates

### Beginner: One-page lesson

```
Create a single-page educational comic about [topic] for [audience]. Use a clear beginning, explanation, visual example, and takeaway. Choose a neutral tone and standard layout.
```

### Intermediate: Biography

```
Create a [page count]-page biography comic about [person]. Cover [key events], use [art style] and [tone], and keep each page focused on one idea. End with a resolved educational takeaway.
```

### Advanced: Reference-guided series

```
Create a multi-page comic about [topic] using these reference images: [paths]. Use [layout], [tone], and [language]. Build a character sheet, save every final prompt, and maintain consistent visual traits across pages.
```

### Expert: Regenerate selected pages

```
Review the existing storyboard and regenerate pages [numbers] for [issue]. Preserve character identity, panel sequence, aspect ratio, and learning goals. Update the affected prompt files before rendering and merge the final pages into a PDF.
```

## Limitations

- Image generation depends on the tools, credentials, and limits of the selected backend.
- Generated images may contain inaccurate or unreadable text and require user review.
- The skill does not independently verify factual claims in source material.
- The PDF merger supports image pages and does not provide a full comic editor.

## Best Practices

- State the audience, learning goal, language, and desired page count before generation.
- Review the storyboard and prompt files before generating a large image batch.
- Use a character sheet and consistent reference images for recurring characters.

## Anti Patterns

- Do not use the skill as a substitute for fact-checking historical or technical claims.
- Do not regenerate pages without updating the corresponding prompt files first.
- Do not expect reliable readable dialogue text without reviewing generated images.

## Security Audit

- Audited at: 2026-08-07T10:14:01.005\+00:00
- Summary: All 160 static matches are false positives based on the cited context. They identify documentation syntax, configuration paths, local file handling, and safe template literals rather than malicious behavior; no semantic security finding was identified.

## Stats

- Views: 285
- Downloads: 96
- Favorites: 4
- Popularity score: 0