ImagesA story in widescreen panels
Storyboard an original journey in three wide cinematic panels, maintaining the protagonist and geography between shots.
Creator · JimLiu
Last updated · Sep 7, 2026
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".
Published by the site owner
This listing was published directly by the site owner. AI review approval and runtime verification are not implied. Review the source and audit notes before installing.
Creator · JimLiu
Last updated · Sep 7, 2026
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".
Published by the site owner
This listing was published directly by the site owner. AI review approval and runtime verification are not implied. Review the source and audit notes before installing.
Creator · JimLiu
Last updated · Sep 7, 2026
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".
Published by the site owner
This listing was published directly by the site owner. AI review approval and runtime verification are not implied. Review the source and audit notes before installing.
Creator · JimLiu
Last updated · Sep 7, 2026
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".
Published by the site owner
This listing was published directly by the site owner. AI review approval and runtime verification are not implied. Review the source and audit notes before installing.
Owner published · Review required
Install targets
Codex install prompt
Install the "baoyu-comic" agent skill from https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jimliu-baoyu-skills-baoyu-comic","task":"Install baoyu-comic","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.See what it makes
ImagesStoryboard an original journey in three wide cinematic panels, maintaining the protagonist and geography between shots.
ImagesUse a dense educational comic to explain a supplied mechanism. Have a domain expert check labels and causal steps before educational use.
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Maintenance
active
2mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
26K
80/100 Quality · 82/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Published by the site owner. Automated review approval and runtime verification are not implied.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Owner published · Review requiredPublished by the site owner. Automated review approval and runtime verification are not implied.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Review the pinned source before installing.
Stars
26K GitHub stars
Repo activity
26K stars, 2.9K forks
Maintenance
2mo since push
License
MIT
Install
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"Do not use when
Alternative
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npx skills add PatrickJS/awesome-cursorrules
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Agent safety v2
Published by the site owner. Automated review approval and runtime verification are not implied.
Inspect the pinned source and approve installation explicitly in an isolated workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jimliu-baoyu-skills-baoyu-comic/install
Agent should check
Copy prompt
Task: Use baoyu-comic in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jimliu-baoyu-skills-baoyu-comic/install
Install command: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jimliu-baoyu-skills-baoyu-comic/install
LLM text format
/api/skills/jimliu-baoyu-skills-baoyu-comic/install?format=text
Find alternatives
/api/skills/search?q=baoyu-comic&limit=3
Agent prompt
Use baoyu-comic for this task. Review https://www.openagentskill.com/api/skills/jimliu-baoyu-skills-baoyu-comic/install, then install with: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"Registry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jimliu-baoyu-skills-baoyu-comic
LLM text
/api/registry/manifest/jimliu-baoyu-skills-baoyu-comic?format=text
Install alias
/api/registry/install/jimliu-baoyu-skills-baoyu-comic
Recommend
/api/registry/recommend?task=Use%20baoyu-comic%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
Platforms
Claude Code, OpenAI Agents, Cursor
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Published by the site owner. Automated review approval and runtime verification are not implied.
Role in stack
Needs validation
Primary fit
Document processing
Trust label
Needs manual review
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Published by the site owner. Automated review approval and runtime verification are not implied.
GitHub adoption
PASS26K GitHub stars
Stars/forks activity
PASS26K stars, 2.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Review the pinned source before installing.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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--- 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 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 dialogue, sound effects, panel labels, or any other text inside an already generated comic page. If text is wrong or unclear, regenerate from a corrected prompt, redraw the page with less or no 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.
## Batch Generation Policy
After every prompt file for the current generation group has been saved and verified, generate images in batches by default.
Priority order:
1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images. 2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md. 3. If neither native batch nor parallel tool calls are available, generate sequentially.
Rules:
- Honor workflow dependencies first: 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 subagents only for separate prompt iteration or creative exploration.
## Reference Images
Users may supply reference images to guide art style, palette, scene composition, or subject. This is **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**: 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 comic 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 on every page (or selected pages) | | `style` | Extract style traits (line treatment, texture, mood) and append to every page's prompt body | | `palette` | Extract 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 - If `usage: direct` AND the chosen backend accepts multiple reference images → pass both the character sheet (Step 7.2) and the user refs via the backend's ref parameter; compress images first per Step 7.1's guidance to avoid payload failures - If the backend accepts only one ref → prefer the character sheet for pages with recurring characters; embed user-ref traits in the prompt body instead - For `style`/`palette` usage → embed extracted traits in every page's prompt text (applies regardless of backend capability)
## Options
### Visual Dimensions
| Option | Values | Description | |--------|--------|-------------| | `--art` | ligne-claire (default), manga, realistic, ink-brush, chalk, minimalist | Art style / rendering technique | | `--tone` | neutral (default), warm, dramatic, romantic, energetic, vintage, action | Mood / atmosphere | | `--layout` | standard (default), cinematic, dense, splash, mixed, webtoon, four-panel | Panel arrangement | | `--aspect` | 3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen) | Page aspect ratio | | `--lang` | auto (default), zh, en, ja, etc. | Output language | | `--ref <files...>` | File paths | Reference images applied to every page for style / palette / scene guidance. See [Reference Images](#reference-images) above. | | `--batch-size <n>` | 1-8 | Temporary page generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. |
### Partial Workflow Options
| Option | Description | |--------|-------------| | `--storyboard-only` | Generate storyboard only, skip prompts and images | | `--prompts-only` | Generate storyboard + prompts, skip images | | `--images-only` | Generate images from existing prompts directory | | `--regenerate N` | Regenerate specific page(s) only (e.g., `3` or `2,5,8`) |
Details: [references/partial-workflows.md](references/partial-workflows.md)
### Art, Tone & Preset Catalogue
- **Art styles** (6): `ligne-claire`, `manga`, `realistic`, `ink-brush`, `chalk`, `minimalist`. Full definitions at `references/art-styles/<style>.md`. - **Tones** (7): `neutral`, `warm`, `dramatic`, `romantic`, `energetic`, `vintage`, `action`. Full definitions at `references/tones/<tone>.md`. - **Presets** (5) with special rules beyond plain art+tone:
| Preset | Equivalent | Hook | |--------|-----------|------| | `ohmsha` | manga + neutral | Visual metaphors, no talking heads, gadget reveals | | `wuxia` | ink-brush + action | Qi effects, combat visuals, atmospheric | | `shoujo` | manga + romantic | Decorative elements, eye details, romantic beats | | `concept-story` | manga + warm | Visual symbol system, growth arc, dialogue+action balance | | `four-panel` | minimalist + neutral + four-panel layout | 起承转合 structure, B&W + spot color, stick-figure characters |
Full rules at `references/presets/<preset>.md` — load the file when a preset is picked.
- **Compatibility matrix** and **content-signal → preset** table live in [references/auto-selection.md](references/auto-selection.md). Read it before recommending combinations in Step 2.
## Script Directory
**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
**Agent Execution Instructions**: 1. Determine this SKILL.md file's directory path as `{baseDir}` 2. Script path = `{baseDir}/scripts/<script-name>.ts` 3. Replace all `{baseDir}` in this document with the actual path 4. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun
**Script Reference**: | Script | Purpose | |--------|---------| | `scripts/merge-to-pdf.ts` | Merge 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**: | File | Description | |------|-------------| | `source-{slug}.{ext}` | Source files | | `analysis.md` | Content analysis | | `storyboard.md` | Storyboard with panel breakdown | | `characters/characters.md` | Character defini
Source provenance
Decision snapshot
25,722 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for baoyu-comic, ready for a manual X post.
baoyu-comic: Knowledge comic creator supporting multiple art styles and tones. Creates original educationa... 25.7K stars https://www.openagentskill.com/skills/jimliu-baoyu-skills-baoyu-comic?ref=x
Listing + install path for baoyu-comic: https://www.openagentskill.com/skills/jimliu-baoyu-skills-baoyu-comic?ref=x Install: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0...
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This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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Creator backlink kit
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[](https://www.openagentskill.com/skills/jimliu-baoyu-skills-baoyu-comic?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)JimLiu
@jimliu
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Owner published · Review required
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Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
639 StarsOwner published · Review required
Install targets
Codex install prompt
Install the "baoyu-comic" agent skill from https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jimliu-baoyu-skills-baoyu-comic","task":"Install baoyu-comic","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.See what it makes
ImagesStoryboard an original journey in three wide cinematic panels, maintaining the protagonist and geography between shots.
ImagesUse a dense educational comic to explain a supplied mechanism. Have a domain expert check labels and causal steps before educational use.
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Maintenance
active
2mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
26K
80/100 Quality · 82/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Published by the site owner. Automated review approval and runtime verification are not implied.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Owner published · Review requiredPublished by the site owner. Automated review approval and runtime verification are not implied.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Review the pinned source before installing.
Stars
26K GitHub stars
Repo activity
26K stars, 2.9K forks
Maintenance
2mo since push
License
MIT
Install
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"Do not use when
Alternative
40.4K Stars
npx skills add PatrickJS/awesome-cursorrules
Alternative
246.3K Stars
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Agent safety v2
Published by the site owner. Automated review approval and runtime verification are not implied.
Inspect the pinned source and approve installation explicitly in an isolated workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jimliu-baoyu-skills-baoyu-comic/install
Agent should check
Copy prompt
Task: Use baoyu-comic in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jimliu-baoyu-skills-baoyu-comic/install
Install command: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jimliu-baoyu-skills-baoyu-comic/install
LLM text format
/api/skills/jimliu-baoyu-skills-baoyu-comic/install?format=text
Find alternatives
/api/skills/search?q=baoyu-comic&limit=3
Agent prompt
Use baoyu-comic for this task. Review https://www.openagentskill.com/api/skills/jimliu-baoyu-skills-baoyu-comic/install, then install with: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"Registry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jimliu-baoyu-skills-baoyu-comic
LLM text
/api/registry/manifest/jimliu-baoyu-skills-baoyu-comic?format=text
Install alias
/api/registry/install/jimliu-baoyu-skills-baoyu-comic
Recommend
/api/registry/recommend?task=Use%20baoyu-comic%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
Platforms
Claude Code, OpenAI Agents, Cursor
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Published by the site owner. Automated review approval and runtime verification are not implied.
Role in stack
Needs validation
Primary fit
Document processing
Trust label
Needs manual review
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Published by the site owner. Automated review approval and runtime verification are not implied.
GitHub adoption
PASS26K GitHub stars
Stars/forks activity
PASS26K stars, 2.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Review the pinned source before installing.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
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Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.
narrow React component prop types to match live code paths
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
--- 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 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 dialogue, sound effects, panel labels, or any other text inside an already generated comic page. If text is wrong or unclear, regenerate from a corrected prompt, redraw the page with less or no 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.
## Batch Generation Policy
After every prompt file for the current generation group has been saved and verified, generate images in batches by default.
Priority order:
1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images. 2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md. 3. If neither native batch nor parallel tool calls are available, generate sequentially.
Rules:
- Honor workflow dependencies first: 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 subagents only for separate prompt iteration or creative exploration.
## Reference Images
Users may supply reference images to guide art style, palette, scene composition, or subject. This is **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**: 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 comic 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 on every page (or selected pages) | | `style` | Extract style traits (line treatment, texture, mood) and append to every page's prompt body | | `palette` | Extract 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 - If `usage: direct` AND the chosen backend accepts multiple reference images → pass both the character sheet (Step 7.2) and the user refs via the backend's ref parameter; compress images first per Step 7.1's guidance to avoid payload failures - If the backend accepts only one ref → prefer the character sheet for pages with recurring characters; embed user-ref traits in the prompt body instead - For `style`/`palette` usage → embed extracted traits in every page's prompt text (applies regardless of backend capability)
## Options
### Visual Dimensions
| Option | Values | Description | |--------|--------|-------------| | `--art` | ligne-claire (default), manga, realistic, ink-brush, chalk, minimalist | Art style / rendering technique | | `--tone` | neutral (default), warm, dramatic, romantic, energetic, vintage, action | Mood / atmosphere | | `--layout` | standard (default), cinematic, dense, splash, mixed, webtoon, four-panel | Panel arrangement | | `--aspect` | 3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen) | Page aspect ratio | | `--lang` | auto (default), zh, en, ja, etc. | Output language | | `--ref <files...>` | File paths | Reference images applied to every page for style / palette / scene guidance. See [Reference Images](#reference-images) above. | | `--batch-size <n>` | 1-8 | Temporary page generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. |
### Partial Workflow Options
| Option | Description | |--------|-------------| | `--storyboard-only` | Generate storyboard only, skip prompts and images | | `--prompts-only` | Generate storyboard + prompts, skip images | | `--images-only` | Generate images from existing prompts directory | | `--regenerate N` | Regenerate specific page(s) only (e.g., `3` or `2,5,8`) |
Details: [references/partial-workflows.md](references/partial-workflows.md)
### Art, Tone & Preset Catalogue
- **Art styles** (6): `ligne-claire`, `manga`, `realistic`, `ink-brush`, `chalk`, `minimalist`. Full definitions at `references/art-styles/<style>.md`. - **Tones** (7): `neutral`, `warm`, `dramatic`, `romantic`, `energetic`, `vintage`, `action`. Full definitions at `references/tones/<tone>.md`. - **Presets** (5) with special rules beyond plain art+tone:
| Preset | Equivalent | Hook | |--------|-----------|------| | `ohmsha` | manga + neutral | Visual metaphors, no talking heads, gadget reveals | | `wuxia` | ink-brush + action | Qi effects, combat visuals, atmospheric | | `shoujo` | manga + romantic | Decorative elements, eye details, romantic beats | | `concept-story` | manga + warm | Visual symbol system, growth arc, dialogue+action balance | | `four-panel` | minimalist + neutral + four-panel layout | 起承转合 structure, B&W + spot color, stick-figure characters |
Full rules at `references/presets/<preset>.md` — load the file when a preset is picked.
- **Compatibility matrix** and **content-signal → preset** table live in [references/auto-selection.md](references/auto-selection.md). Read it before recommending combinations in Step 2.
## Script Directory
**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
**Agent Execution Instructions**: 1. Determine this SKILL.md file's directory path as `{baseDir}` 2. Script path = `{baseDir}/scripts/<script-name>.ts` 3. Replace all `{baseDir}` in this document with the actual path 4. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun
**Script Reference**: | Script | Purpose | |--------|---------| | `scripts/merge-to-pdf.ts` | Merge 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**: | File | Description | |------|-------------| | `source-{slug}.{ext}` | Source files | | `analysis.md` | Content analysis | | `storyboard.md` | Storyboard with panel breakdown | | `characters/characters.md` | Character defini
Source provenance
Decision snapshot
25,722 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for baoyu-comic, ready for a manual X post.
baoyu-comic: Knowledge comic creator supporting multiple art styles and tones. Creates original educationa... 25.7K stars https://www.openagentskill.com/skills/jimliu-baoyu-skills-baoyu-comic?ref=x
Listing + install path for baoyu-comic: https://www.openagentskill.com/skills/jimliu-baoyu-skills-baoyu-comic?ref=x Install: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to JimLiu but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/jimliu-baoyu-skills-baoyu-comic?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)JimLiu
@jimliu
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Owner published · Review required
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3.1K Starscode-review
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
639 StarsOwner published · Review required
Install targets
Codex install prompt
Install the "baoyu-comic" agent skill from https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jimliu-baoyu-skills-baoyu-comic","task":"Install baoyu-comic","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.See what it makes
ImagesStoryboard an original journey in three wide cinematic panels, maintaining the protagonist and geography between shots.
ImagesUse a dense educational comic to explain a supplied mechanism. Have a domain expert check labels and causal steps before educational use.
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Maintenance
active
2mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
26K
80/100 Quality · 82/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Published by the site owner. Automated review approval and runtime verification are not implied.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Owner published · Review requiredPublished by the site owner. Automated review approval and runtime verification are not implied.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Review the pinned source before installing.
Stars
26K GitHub stars
Repo activity
26K stars, 2.9K forks
Maintenance
2mo since push
License
MIT
Install
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"Do not use when
Alternative
40.4K Stars
npx skills add PatrickJS/awesome-cursorrules
Alternative
246.3K Stars
npx skills add affaan-m/ECC --skill agent-introspection-debugging
Alternative
3.1K Stars
npx skills add humanlayer/skills --skill narrow-react-prop-types
Alternative
639 Stars
npx skills add sandbaseai/sandbase-harness --skill code-review
Agent safety v2
Published by the site owner. Automated review approval and runtime verification are not implied.
Inspect the pinned source and approve installation explicitly in an isolated workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jimliu-baoyu-skills-baoyu-comic/install
Agent should check
Copy prompt
Task: Use baoyu-comic in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jimliu-baoyu-skills-baoyu-comic/install
Install command: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jimliu-baoyu-skills-baoyu-comic/install
LLM text format
/api/skills/jimliu-baoyu-skills-baoyu-comic/install?format=text
Find alternatives
/api/skills/search?q=baoyu-comic&limit=3
Agent prompt
Use baoyu-comic for this task. Review https://www.openagentskill.com/api/skills/jimliu-baoyu-skills-baoyu-comic/install, then install with: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"Registry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jimliu-baoyu-skills-baoyu-comic
LLM text
/api/registry/manifest/jimliu-baoyu-skills-baoyu-comic?format=text
Install alias
/api/registry/install/jimliu-baoyu-skills-baoyu-comic
Recommend
/api/registry/recommend?task=Use%20baoyu-comic%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
Platforms
Claude Code, OpenAI Agents, Cursor
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Published by the site owner. Automated review approval and runtime verification are not implied.
Role in stack
Needs validation
Primary fit
Document processing
Trust label
Needs manual review
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Published by the site owner. Automated review approval and runtime verification are not implied.
GitHub adoption
PASS26K GitHub stars
Stars/forks activity
PASS26K stars, 2.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Review the pinned source before installing.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
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narrow React component prop types to match live code paths
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
--- 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 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 dialogue, sound effects, panel labels, or any other text inside an already generated comic page. If text is wrong or unclear, regenerate from a corrected prompt, redraw the page with less or no 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.
## Batch Generation Policy
After every prompt file for the current generation group has been saved and verified, generate images in batches by default.
Priority order:
1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images. 2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md. 3. If neither native batch nor parallel tool calls are available, generate sequentially.
Rules:
- Honor workflow dependencies first: 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 subagents only for separate prompt iteration or creative exploration.
## Reference Images
Users may supply reference images to guide art style, palette, scene composition, or subject. This is **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**: 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 comic 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 on every page (or selected pages) | | `style` | Extract style traits (line treatment, texture, mood) and append to every page's prompt body | | `palette` | Extract 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 - If `usage: direct` AND the chosen backend accepts multiple reference images → pass both the character sheet (Step 7.2) and the user refs via the backend's ref parameter; compress images first per Step 7.1's guidance to avoid payload failures - If the backend accepts only one ref → prefer the character sheet for pages with recurring characters; embed user-ref traits in the prompt body instead - For `style`/`palette` usage → embed extracted traits in every page's prompt text (applies regardless of backend capability)
## Options
### Visual Dimensions
| Option | Values | Description | |--------|--------|-------------| | `--art` | ligne-claire (default), manga, realistic, ink-brush, chalk, minimalist | Art style / rendering technique | | `--tone` | neutral (default), warm, dramatic, romantic, energetic, vintage, action | Mood / atmosphere | | `--layout` | standard (default), cinematic, dense, splash, mixed, webtoon, four-panel | Panel arrangement | | `--aspect` | 3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen) | Page aspect ratio | | `--lang` | auto (default), zh, en, ja, etc. | Output language | | `--ref <files...>` | File paths | Reference images applied to every page for style / palette / scene guidance. See [Reference Images](#reference-images) above. | | `--batch-size <n>` | 1-8 | Temporary page generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. |
### Partial Workflow Options
| Option | Description | |--------|-------------| | `--storyboard-only` | Generate storyboard only, skip prompts and images | | `--prompts-only` | Generate storyboard + prompts, skip images | | `--images-only` | Generate images from existing prompts directory | | `--regenerate N` | Regenerate specific page(s) only (e.g., `3` or `2,5,8`) |
Details: [references/partial-workflows.md](references/partial-workflows.md)
### Art, Tone & Preset Catalogue
- **Art styles** (6): `ligne-claire`, `manga`, `realistic`, `ink-brush`, `chalk`, `minimalist`. Full definitions at `references/art-styles/<style>.md`. - **Tones** (7): `neutral`, `warm`, `dramatic`, `romantic`, `energetic`, `vintage`, `action`. Full definitions at `references/tones/<tone>.md`. - **Presets** (5) with special rules beyond plain art+tone:
| Preset | Equivalent | Hook | |--------|-----------|------| | `ohmsha` | manga + neutral | Visual metaphors, no talking heads, gadget reveals | | `wuxia` | ink-brush + action | Qi effects, combat visuals, atmospheric | | `shoujo` | manga + romantic | Decorative elements, eye details, romantic beats | | `concept-story` | manga + warm | Visual symbol system, growth arc, dialogue+action balance | | `four-panel` | minimalist + neutral + four-panel layout | 起承转合 structure, B&W + spot color, stick-figure characters |
Full rules at `references/presets/<preset>.md` — load the file when a preset is picked.
- **Compatibility matrix** and **content-signal → preset** table live in [references/auto-selection.md](references/auto-selection.md). Read it before recommending combinations in Step 2.
## Script Directory
**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
**Agent Execution Instructions**: 1. Determine this SKILL.md file's directory path as `{baseDir}` 2. Script path = `{baseDir}/scripts/<script-name>.ts` 3. Replace all `{baseDir}` in this document with the actual path 4. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun
**Script Reference**: | Script | Purpose | |--------|---------| | `scripts/merge-to-pdf.ts` | Merge 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**: | File | Description | |------|-------------| | `source-{slug}.{ext}` | Source files | | `analysis.md` | Content analysis | | `storyboard.md` | Storyboard with panel breakdown | | `characters/characters.md` | Character defini
Source provenance
Decision snapshot
25,722 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for baoyu-comic, ready for a manual X post.
baoyu-comic: Knowledge comic creator supporting multiple art styles and tones. Creates original educationa... 25.7K stars https://www.openagentskill.com/skills/jimliu-baoyu-skills-baoyu-comic?ref=x
Listing + install path for baoyu-comic: https://www.openagentskill.com/skills/jimliu-baoyu-skills-baoyu-comic?ref=x Install: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0...
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This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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@jimliu
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Owner published · Review required
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3.1K Starscode-review
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
639 StarsOwner published · Review required
Install targets
Codex install prompt
Install the "baoyu-comic" agent skill from https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jimliu-baoyu-skills-baoyu-comic","task":"Install baoyu-comic","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.See what it makes
ImagesStoryboard an original journey in three wide cinematic panels, maintaining the protagonist and geography between shots.
ImagesUse a dense educational comic to explain a supplied mechanism. Have a domain expert check labels and causal steps before educational use.
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Maintenance
active
2mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
26K
80/100 Quality · 82/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Published by the site owner. Automated review approval and runtime verification are not implied.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Owner published · Review requiredPublished by the site owner. Automated review approval and runtime verification are not implied.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Review the pinned source before installing.
Stars
26K GitHub stars
Repo activity
26K stars, 2.9K forks
Maintenance
2mo since push
License
MIT
Install
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"Do not use when
Alternative
40.4K Stars
npx skills add PatrickJS/awesome-cursorrules
Alternative
246.3K Stars
npx skills add affaan-m/ECC --skill agent-introspection-debugging
Alternative
3.1K Stars
npx skills add humanlayer/skills --skill narrow-react-prop-types
Alternative
639 Stars
npx skills add sandbaseai/sandbase-harness --skill code-review
Agent safety v2
Published by the site owner. Automated review approval and runtime verification are not implied.
Inspect the pinned source and approve installation explicitly in an isolated workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jimliu-baoyu-skills-baoyu-comic/install
Agent should check
Copy prompt
Task: Use baoyu-comic in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20baoyu-comic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jimliu-baoyu-skills-baoyu-comic/install
Install command: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jimliu-baoyu-skills-baoyu-comic/install
LLM text format
/api/skills/jimliu-baoyu-skills-baoyu-comic/install?format=text
Find alternatives
/api/skills/search?q=baoyu-comic&limit=3
Agent prompt
Use baoyu-comic for this task. Review https://www.openagentskill.com/api/skills/jimliu-baoyu-skills-baoyu-comic/install, then install with: npx skills add https://github.com/JimLiu/baoyu-skills/tree/6b7a2e417500561a5ecdd0b168332f4142584617/skills/baoyu-comic --skill "baoyu-comic"Registry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jimliu-baoyu-skills-baoyu-comic
LLM text
/api/registry/manifest/jimliu-baoyu-skills-baoyu-comic?format=text
Install alias
/api/registry/install/jimliu-baoyu-skills-baoyu-comic
Recommend
/api/registry/recommend?task=Use%20baoyu-comic%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
Platforms
Claude Code, OpenAI Agents, Cursor
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Published by the site owner. Automated review approval and runtime verification are not implied.
Role in stack
Needs validation
Primary fit
Document processing
Trust label
Needs manual review
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Published by the site owner. Automated review approval and runtime verification are not implied.
GitHub adoption
PASS26K GitHub stars
Stars/forks activity
PASS26K stars, 2.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Review the pinned source before installing.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
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--- 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 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 dialogue, sound effects, panel labels, or any other text inside an already generated comic page. If text is wrong or unclear, regenerate from a corrected prompt, redraw the page with less or no 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.
## Batch Generation Policy
After every prompt file for the current generation group has been saved and verified, generate images in batches by default.
Priority order:
1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images. 2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md. 3. If neither native batch nor parallel tool calls are available, generate sequentially.
Rules:
- Honor workflow dependencies first: 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 subagents only for separate prompt iteration or creative exploration.
## Reference Images
Users may supply reference images to guide art style, palette, scene composition, or subject. This is **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**: 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 comic 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 on every page (or selected pages) | | `style` | Extract style traits (line treatment, texture, mood) and append to every page's prompt body | | `palette` | Extract 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 - If `usage: direct` AND the chosen backend accepts multiple reference images → pass both the character sheet (Step 7.2) and the user refs via the backend's ref parameter; compress images first per Step 7.1's guidance to avoid payload failures - If the backend accepts only one ref → prefer the character sheet for pages with recurring characters; embed user-ref traits in the prompt body instead - For `style`/`palette` usage → embed extracted traits in every page's prompt text (applies regardless of backend capability)
## Options
### Visual Dimensions
| Option | Values | Description | |--------|--------|-------------| | `--art` | ligne-claire (default), manga, realistic, ink-brush, chalk, minimalist | Art style / rendering technique | | `--tone` | neutral (default), warm, dramatic, romantic, energetic, vintage, action | Mood / atmosphere | | `--layout` | standard (default), cinematic, dense, splash, mixed, webtoon, four-panel | Panel arrangement | | `--aspect` | 3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen) | Page aspect ratio | | `--lang` | auto (default), zh, en, ja, etc. | Output language | | `--ref <files...>` | File paths | Reference images applied to every page for style / palette / scene guidance. See [Reference Images](#reference-images) above. | | `--batch-size <n>` | 1-8 | Temporary page generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. |
### Partial Workflow Options
| Option | Description | |--------|-------------| | `--storyboard-only` | Generate storyboard only, skip prompts and images | | `--prompts-only` | Generate storyboard + prompts, skip images | | `--images-only` | Generate images from existing prompts directory | | `--regenerate N` | Regenerate specific page(s) only (e.g., `3` or `2,5,8`) |
Details: [references/partial-workflows.md](references/partial-workflows.md)
### Art, Tone & Preset Catalogue
- **Art styles** (6): `ligne-claire`, `manga`, `realistic`, `ink-brush`, `chalk`, `minimalist`. Full definitions at `references/art-styles/<style>.md`. - **Tones** (7): `neutral`, `warm`, `dramatic`, `romantic`, `energetic`, `vintage`, `action`. Full definitions at `references/tones/<tone>.md`. - **Presets** (5) with special rules beyond plain art+tone:
| Preset | Equivalent | Hook | |--------|-----------|------| | `ohmsha` | manga + neutral | Visual metaphors, no talking heads, gadget reveals | | `wuxia` | ink-brush + action | Qi effects, combat visuals, atmospheric | | `shoujo` | manga + romantic | Decorative elements, eye details, romantic beats | | `concept-story` | manga + warm | Visual symbol system, growth arc, dialogue+action balance | | `four-panel` | minimalist + neutral + four-panel layout | 起承转合 structure, B&W + spot color, stick-figure characters |
Full rules at `references/presets/<preset>.md` — load the file when a preset is picked.
- **Compatibility matrix** and **content-signal → preset** table live in [references/auto-selection.md](references/auto-selection.md). Read it before recommending combinations in Step 2.
## Script Directory
**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
**Agent Execution Instructions**: 1. Determine this SKILL.md file's directory path as `{baseDir}` 2. Script path = `{baseDir}/scripts/<script-name>.ts` 3. Replace all `{baseDir}` in this document with the actual path 4. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun
**Script Reference**: | Script | Purpose | |--------|---------| | `scripts/merge-to-pdf.ts` | Merge 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**: | File | Description | |------|-------------| | `source-{slug}.{ext}` | Source files | | `analysis.md` | Content analysis | | `storyboard.md` | Storyboard with panel breakdown | | `characters/characters.md` | Character defini
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