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Baoyu Comic

Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image gen... Skill: Baoyu Comic Owner: jimliu Summary: Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image gen... Tags: latest:1.117.4 Version history: v1.117.4 | 2026-06-13T04:58:01.419Z | auto - Added explicit support for Cursor's GenerateImage tool and clarified usage details for aspect ratio and output path handling. - Added

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

5.4k

Updated

Oct 9, 2026

Version

1.117.4

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 5.4K downloads reported by the source. Last updated 10/9/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 9, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 9, 2026
Adoption signal
5.4K downloadsadoption · observed Oct 9, 2026
Latest release
1.117.4release · observed Jun 13, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17dfbhg0khk4fvtnx0stqg0yx83j25z:baoyu-comic
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-jimliu-baoyu-comic/snapshot"

Documentation

CLAWHUB

160,000 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: baoyu-comic
description: 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".
version: 1.117.4
metadata:
  openclaw:
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-comic
    requires:
      anyBins:
        - bun
        - npx
---

# Knowledge Comic Creator

Create original knowledge comics with flexible art style × tone combinations.

## 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 param

_meta.json

{
  "ownerId": "kn7csrrndw79hpke5d0gsnx93d82k67r",
  "slug": "baoyu-comic",
  "version": "1.117.4",
  "publishedAt": 1781326681419
}

references/analysis-framework.md

# Comic Content Analysis Framework

Deep analysis framework for transforming source content into effective visual storytelling.

## Purpose

Before creating a comic, thoroughly analyze the source material to:
- Identify the target audience and their needs
- Determine what value the comic will deliver
- Extract narrative potential for visual storytelling
- Plan character arcs and key moments

## Analysis Dimensions

### 1. Core Content (Understanding "What")

**Central Message**
- What is the single most important idea readers should take away?
- Can you express it in one sentence?

**Key Concepts**
- What are the essential concepts readers must understand?
- How should these concepts be visualized?
- Which concepts need simplified explanations?

**Content Structure**
- How is the source material organized?
- What is the natural narrative arc?
- Where are the climax and turning points?

**Evidence & Examples**
- What concrete examples, data, or stories support the main ideas?
- Which examples translate well to visual panels?
- What can be shown rather than told?

### 2. Context & Background (Understanding "Why")

**Source Origin**
- Who created this content? What is their perspective?
- What was the original purpose?
- Is there bias to be aware of?

**Historical/Cultural Context**
- When and where does the story take place?
- What background knowledge do readers need?
- What period-specific visual elements are required?

**Underlying Assumptions**
- What does the source assume readers already know?
- What implicit beliefs or values are present?
- Should the comic challenge or reinforce these?

### 3. Audience Analysis

**Primary Audience**
- Who will read this comic?
- What is their existing knowledge level?
- What are their interests and motivations?

**Secondary Audiences**
- Who else might benefit from this comic?
- How might their needs differ?

**Reader Questions**
- What questions will readers have?
- What misconceptions might they bring?
- What "aha moments" can we create?

### 4. Value Proposition

**Knowledge Value**
- What will readers learn?
- What new perspectives will they gain?
- How will this change their understanding?

**Emotional Value**
- What emotions should readers feel?
- What connections will they make with characters?
- What will make this memorable?

**Practical Value**
- Can readers apply what they learn?
- What actions might this inspire?
- What conversations might it spark?

### 5. Narrative Potential

**Story Arc Candidates**
- What natural narratives exist in the content?
- Where is the conflict or tension?
- What transformations occur?

**Character Potential**
- Who are the key figures?
- What are their motivations and obstacles?
- How do they change throughout?

**Visual Opportunities**
- What scenes have strong visual potential?
- Where can abstract concepts become concrete images?
- What metaphors can be visualized?

**Dramatic Moments**
- What are the breakthrough/revelation moments?
- Where are the emotional pea

references/art-styles/chalk.md

# chalk

粉笔画风 - Chalkboard aesthetic with hand-drawn warmth

## Overview

Classic classroom chalkboard aesthetic with hand-drawn chalk illustrations. Nostalgic educational feel with imperfect, sketchy lines that capture the warmth of traditional teaching.

## Line Work

- Sketchy, imperfect hand-drawn lines
- Chalk texture on all strokes
- Varying line weight from chalk pressure
- Soft edges, no sharp digital lines
- Visible chalk dust effects

## Character Design

- Simplified, friendly character designs
- Stick figures to semi-detailed range
- Expressive through simple gestures
- Approachable, non-intimidating
- Educational presenter style

## Background

- Chalkboard Black (#1A1A1A) or Dark Green-Black (#1C2B1C)
- Realistic chalkboard texture
- Subtle scratches and dust particles
- Faint eraser marks for authenticity
- Wooden frame border optional

## Typography

- Hand-drawn chalk lettering style
- Visible chalk texture on text
- Imperfect baseline adds authenticity
- White or bright colored chalk for emphasis

## Visual Elements

- Hand-drawn chalk illustrations
- Chalk dust effects around elements
- Doodles: stars, arrows, underlines, circles
- Mathematical formulas and diagrams
- Eraser smudges and chalk residue
- Stick figures and simple icons
- Connection lines with hand-drawn feel

## Default Color Palette

| Role | Color | Hex |
|------|-------|-----|
| Background | Chalkboard Black | #1A1A1A |
| Alt Background | Green-Black | #1C2B1C |
| Primary Text | Chalk White | #F5F5F5 |
| Accent 1 | Chalk Yellow | #FFE566 |
| Accent 2 | Chalk Pink | #FF9999 |
| Accent 3 | Chalk Blue | #66B3FF |
| Accent 4 | Chalk Green | #90EE90 |
| Accent 5 | Chalk Orange | #FFB366 |

## Style Rules

### Do
- Maintain authentic chalk texture on all elements
- Use imperfect, hand-drawn quality throughout
- Add subtle chalk dust and smudge effects
- Create visual hierarchy with color variety
- Include playful doodles and annotations

### Don't
- Use perfect geometric shapes
- Create clean digital-looking lines
- Add photorealistic elements
- Use gradients or glossy effects

## Quality Markers

- ✓ Authentic chalk texture throughout
- ✓ Imperfect, hand-drawn quality
- ✓ Readable despite sketchy style
- ✓ Nostalgic classroom feel
- ✓ Effective color hierarchy
- ✓ Playful educational aesthetic

## Compatibility

| Tone | Fit | Notes |
|------|-----|-------|
| neutral | ✓✓ | Classic educational |
| warm | ✓✓ | Nostalgic feel |
| dramatic | ✗ | Style mismatch |
| vintage | ✓ | Old school feel |
| romantic | ✗ | Style mismatch |
| energetic | ✓✓ | Fun learning |
| action | ✗ | Style mismatch |

## Best For

Educational content, tutorials, classroom themes, teaching materials, workshops, informal learning, knowledge sharing

references/art-styles/ink-brush.md

# ink-brush

水墨画风 - Chinese ink brush aesthetics with dynamic strokes

## Overview

Traditional Chinese ink brush painting style adapted for comics. Combines calligraphic brush strokes with ink wash effects. Creates atmospheric, artistic visuals rooted in East Asian aesthetics.

## Line Work

- 2-3px dynamic brush strokes with varying weight
- Ink wash effects, traditional Chinese brush feel
- Bold, confident strokes with sharp edges
- Flowing lines for fabric and hair
- Pressure-sensitive stroke variation

## Character Design

- Realistic human proportions (7.5-8 head heights)
- Defined features with ink brush definition
- Dynamic poses capturing movement
- Flowing hair and clothing in motion
- Traditional attire options (robes, hanfu)
- Intense, expressive faces

## Brush Techniques

| Technique | Usage |
|-----------|-------|
| Bold strokes | Character outlines |
| Fine lines | Details, hair |
| Ink wash | Atmosphere, shadows |
| Dry brush | Texture, aging |
| Splatter | Impact, drama |

## Background Treatment

- Dramatic landscapes: mountains, waterfalls, temples
- Ink wash atmospheric effects
- Misty, layered depth
- Traditional architecture elements
- High contrast silhouettes
- Negative space as design element

## Color Approach

- Ink gradients as primary
- Limited accent colors
- Traditional Chinese palette
- Atmospheric color washes
- High contrast compositions

## Default Color Palette

| Role | Color | Hex |
|------|-------|-----|
| Primary | Deep black ink | #1A1A1A |
| Accent | Crimson red | #8B0000 |
| Accent | Imperial gold | #D4AF37 |
| Skin | Natural tan | #D4A574 |
| Background | Misty gray | #9CA3AF |
| Background | Earth tone | #8B7355 |
| Wash | Ink gradient | #2D3748 |

## Visual Elements

- Calligraphic text integration
- Seal stamps (optional)
- Ink splatter effects
- Flowing fabric trails
- Atmospheric mist
- Mountain silhouettes

## Quality Markers

- ✓ Dynamic brush stroke quality
- ✓ Authentic ink wash atmosphere
- ✓ High contrast compositions
- ✓ Flowing movement in fabric/hair
- ✓ Traditional aesthetic elements
- ✓ Atmospheric depth

## Compatibility

| Tone | Fit | Notes |
|------|-----|-------|
| neutral | ✓ | Contemplative stories |
| warm | ✓ | Nostalgic, gentle |
| dramatic | ✓✓ | High contrast |
| vintage | ✓✓ | Historical pieces |
| romantic | ✗ | Style mismatch |
| energetic | ✗ | Too refined |
| action | ✓✓ | Martial arts |

## Best For

Chinese historical stories, martial arts, traditional tales, contemplative narratives, artistic adaptations

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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  "events": [
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      "eventType": "release",
      "title": "Release 1.117.4",
      "description": "- Added explicit support for Cursor's `GenerateImage` tool and clarified usage details for aspect ratio and output path handling. - Added auto-discovery and fallback flow for Codex via `codex exec` (`codex-imagegen`), with reference to the new guidance in `references/codex-imagegen.md`. - Updated backend selection logic to cover additional runtime-native tools and outline their invocation precedence. - Removed old `skill-card.md` and added new backend reference doc for Codex CLI integration. - No changes to comic creation features or user-facing options.",
      "href": "https://clawhub.ai/jimliu/baoyu-comic",
      "sourceUrl": "https://clawhub.ai/jimliu/baoyu-comic",
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}

Record generated Oct 9, 2026.

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