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Agent Skill · 研究检索

comic(comic 搜索)

comic 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

comic 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 42,645。

总安装 1,053周安装 43GitHub Stars 公开资料未说明下载 337核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:comic(comic 搜索)
来源仓库:https://github.com/zlh-428/naruto-skills
仓库路径:skills/comic
安装命令:
npx skills add zlh-428/naruto-skills --skill "comic"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add zlh-428/naruto-skills --skill "comic"

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

该技能用于发现并集成适用于动漫风格生成或漫画创作的 AI 插件。可在 Claude、Cursor 等平台中扩展二次元内容生产能力。通过标准化接口接入外部技能库,支持角色设定与分镜生成。安装依赖 npx 与指定仓库路径,需保证环境兼容性。建议核对原始文档中的风格限制与使用条款说明。

comic 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/comic

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add zlh-428/naruto-skills --skill "comic";命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

comic 怎么安装?

在终端执行 npx skills add zlh-428/naruto-skills --skill "comic"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

comic 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

comic 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

comic 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

comic 用的人多吗?

公开数据是累计安装 1,053 次,近一周安装 43 次,下载 337 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

comic 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
comic

comic 搜索 · 本页

1,053—只读MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
comic
description
Knowledge comic creator supporting multiple styles (Logicomix/Ligne Claire, Ohmsha manga guide). Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".

Knowledge Comic Creator

Create original knowledge comics with multiple visual styles.

Usage

/comic posts/turing-story/source.md
/comic  # then paste content

Options

OptionValues
--styleclassic (default), dramatic, warm, sepia, vibrant, ohmsha, realistic, wuxia, shoujo, or custom description
--layoutstandard (default), cinematic, dense, splash, mixed, webtoon
--aspect3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen)
--langauto (default), zh, en, ja, etc.

Style × Layout × Aspect can be freely combined. Custom styles can be described in natural language.

Aspect ratio is consistent across all pages in a comic.

Auto Selection

Content SignalsStyleLayout
Tutorial, how-to, beginnerohmshawebtoon
Computing, AI, programmingohmshadense
Pre-1950, classical, ancientsepiacinematic
Personal story, mentorwarmstandard
Conflict, breakthroughdramaticsplash
Wine, food, business, lifestyle, professionalrealisticcinematic
Martial arts, wuxia, xianxia, Chinese historicalwuxiasplash
Romance, love, school life, friendship, emotionalshoujostandard
Biography, balancedclassicmixed

Script Directory

Important: All scripts are located in scripts/ subdirectory of this skill.

Agent Execution Instructions:

  1. Determine this SKILL.md file's directory path as SKILL_DIR
  2. Script path = ${SKILL_DIR}/scripts/<script-name>.ts
  3. Replace all ${SKILL_DIR} in this document with actual path

Script Reference:

ScriptPurpose
scripts/merge-to-pdf.tsMerge comic pages into PDF

File Structure

Each session creates an independent directory named by content slug:

comic/{topic-slug}/
├── source-{slug}.{ext}            # Source files (text, images, etc.)
├── analysis.md                    # Deep analysis results (YAML+MD)
├── storyboard-chronological.md    # Variant A (preserved)
├── storyboard-thematic.md         # Variant B (preserved)
├── storyboard-character.md        # Variant C (preserved)
├── characters-chronological/      # Variant A chars (preserved)
│   ├── characters.md
│   └── characters.png
├── characters-thematic/           # Variant B chars (preserved)
│   ├── characters.md
│   └── characters.png
├── characters-character/          # Variant C chars (preserved)
│   ├── characters.md
│   └── characters.png
├── storyboard.md                  # Final selected
├── characters/                    # Final selected
│   ├── characters.md
│   └── characters.png
├── prompts/
│   ├── 00-cover-[slug].md
│   └── NN-page-[slug].md
├── 00-cover-[slug].png
├── NN-page-[slug].png
└── {topic-slug}.pdf

Slug Generation:

  1. Extract main topic from content (2-4 words, kebab-case)
  2. Example: "Alan Turing Biography" → alan-turing-bio

Conflict Resolution: If comic/{topic-slug}/ already exists:

  • Append timestamp: {topic-slug}-YYYYMMDD-HHMMSS
  • Example: turing-story exists → turing-story-20260118-143052

Source Files: Copy all sources with naming source-{slug}.{ext}:

  • source-biography.md, source-portrait.jpg, source-timeline.png, etc.
  • Multiple sources supported: text, images, files from conversation

Workflow

Step 1: Analyze Content → analysis.md

Read source content, save it if needed, and perform deep analysis.

Actions:

  1. Save source content (if not already a file):

- If user provides a file path: use as-is - If user pastes content: save to source.md in target directory

  1. Read source content
  2. Deep analysis following references/analysis-framework.md:

- Target audience identification - Value proposition for readers - Core themes and narrative potential - Key figures and their story arcs

  1. Detect source language
  2. Determine recommended page count:

- Short story: 5-8 pages - Medium complexity: 9-15 pages - Full biography: 16-25 pages

  1. Analyze content signals for style/layout recommendations
  2. Save to analysis.md

analysis.md Format:

---
title: "Alan Turing: Father of Computing"
topic: Biography
time_span: 1912-1954
source_language: en
user_language: zh
aspect_ratio: "3:4"
recommended_page_count: 12
---

## Target Audience

- **Primary**: Tech enthusiasts curious about computing history
- **Secondary**: Students learning about scientific breakthroughs
- **Tertiary**: General readers interested in biographical stories

## Value Proposition

What readers will gain:
1. Understanding of how modern computing was born
2. Emotional connection to a brilliant but tragic figure
3. Appreciation for human cost of innovation

## Core Themes

| Theme | Narrative Potential | Visual Opportunity |
|-------|--------------------|--------------------|
| Genius vs. Society | High conflict, dramatic arcs | Contrast scenes |
| Code-breaking | Mystery, tension | Technical diagrams as art |
| Personal tragedy | Emotional depth | Intimate, somber panels |

## Key Figures & Story Arcs

### Alan Turing (Protagonist)
- **Arc**: Misunderstood genius → War hero → Tragic end
- **Visual identity**: Disheveled academic, intense eyes
- **Key moments**: Enigma breakthrough, arrest, final days

### Christopher Morcom (Catalyst)
- **Role**: Early friend whose death shaped Turing
- **Visual identity**: Youthful, bright
- **Key moments**: School friendship, sudden death

## Content Signals

- "biography" → classic + mixed
- "computing history" → ohmsha + dense
- "personal tragedy" → dramatic + splash

## Recommended Approaches

1. **Chronological** - follow life timeline (recommended for biography)
2. **Thematic** - organize by contributions (good for educational focus)
3. **Character-focused** - relationships drive narrative (good for emotional impact)

Step 2: Generate 3 Storyboard Variants

Create three distinct variants, each combining a narrative approach with a recommended style.

VariantNarrative ApproachRecommended StyleLayout
AChronologicalsepiacinematic
BThematicohmshadense
CCharacter-focusedwarmstandard

For each variant:

  1. Generate storyboard (storyboard-{approach}.md):

- YAML front matter with narrative_approach, recommended_style, recommended_layout, aspect_ratio - Cover design - Each page: layout, panel breakdown, visual prompts - Written in user's preferred language - Reference: references/storyboard-template.md

  1. Generate matching characters (characters-{approach}/):

- characters.md - visual specs matching recommended style (in user's preferred language) - characters.png - character reference sheet - Reference: references/character-template.md

All variants are preserved after selection for reference.

Step 3: User Confirms All Options

IMPORTANT: Present ALL options in a single confirmation step using AskUserQuestion. Do NOT interrupt workflow with multiple separate confirmations.

Determine which questions to ask:

QuestionWhen to Ask
Storyboard variantAlways (required)
Visual styleAlways (required)
LanguageOnly if source_language ≠ user_language
Aspect ratioOnly if user might prefer non-default (e.g., landscape content)

Language handling:

  • If source language = user language: Just inform user (e.g., "Comic will be in Chinese")
  • If different: Ask which language to use

All storyboards and prompts are generated in user's selected/preferred language.

Aspect ratio handling:

  • Default: 3:4 (portrait) - standard comic format
  • Offer 4:3 (landscape) if content suits it (e.g., panoramic scenes, technical diagrams)
  • Offer 16:9 (widescreen) for cinematic content

AskUserQuestion format (example with all questions):

Question 1 (Storyboard): Which storyboard variant?
- A: Chronological + sepia (Recommended)
- B: Thematic + ohmsha
- C: Character-focused + warm
- Custom

Question 2 (Style): Which visual style?
- sepia (Recommended from variant)
- classic / dramatic / warm / sepia / vibrant / ohmsha / realistic / wuxia
- Custom description

Question 3 (Language) - only if mismatch:
- Chinese (source material language)
- English (your preference)

Question 4 (Aspect) - only if relevant:
- 3:4 Portrait (Recommended)
- 4:3 Landscape
- 16:9 Widescreen

After confirmation:

  1. Copy selected storyboard → storyboard.md
  2. Copy selected characters → characters/
  3. Update YAML front matter with confirmed style, language, aspect_ratio
  4. If style differs from variant's recommended: regenerate characters/characters.png
  5. User may edit files directly for fine-tuning

Step 4: Generate Images

With confirmed storyboard + style + aspect ratio:

For each page (cover + pages):

  1. Save prompt to prompts/NN-{cover|page}-[slug].md (in user's preferred language)
  2. Generate image using confirmed style and aspect ratio
  3. Report progress after each generation

Image Generation Skill Selection:

  • Check available image generation skills
  • If multiple skills available, ask user preference

Character Reference Handling:

  • If skill supports reference image: pass characters/characters.png
  • If skill does NOT support reference image: include characters/characters.md content in prompt

Session Management: If image generation skill supports --sessionId:

  1. Generate unique session ID: comic-{topic-slug}-{timestamp}
  2. Use same session ID for all pages
  3. Ensures visual consistency across generated images

Step 5: Merge to PDF

After all images generated:

npx -y bun ${SKILL_DIR}/scripts/merge-to-pdf.ts <comic-dir>

Creates {topic-slug}.pdf with all pages as full-page images.

Step 6: Completion Report

Comic Complete!
Title: [title] | Style: [style] | Pages: [count] | Aspect: [ratio] | Language: [lang]
Location: [path]
✓ analysis.md
✓ characters.png
✓ 00-cover-[slug].png ... NN-page-[slug].png
✓ {topic-slug}.pdf

Page Modification

Support for modifying individual pages after initial generation.

Edit Single Page

Regenerate a specific page with modified prompt:

  1. Identify page to edit (e.g., 03-page-enigma-machine.png)
  2. Update prompt in prompts/03-page-enigma-machine.md if needed
  3. If content changes significantly, update slug in filename
  4. Regenerate image using same session ID and aspect ratio
  5. Regenerate PDF

Add New Page

Insert a new page at specified position:

  1. Specify insertion position (e.g., after page 3)
  2. Create new prompt with appropriate slug (e.g., 04-page-bletchley-park.md)
  3. Generate new page image (same aspect ratio)
  4. Renumber files: All subsequent pages increment NN by 1

- 04-page-tragedy.png → 05-page-tragedy.png - Slugs remain unchanged

  1. Update storyboard.md with new page entry
  2. Regenerate PDF

Delete Page

Remove a page and renumber:

  1. Identify page to delete (e.g., 03-page-enigma-machine.png)
  2. Remove image file and prompt file
  3. Renumber files: All subsequent pages decrement NN by 1

- 04-page-tragedy.png → 03-page-tragedy.png - Slugs remain unchanged

  1. Update storyboard.md to remove page entry
  2. Regenerate PDF

File Naming Convention

Files use meaningful slugs for better readability:

NN-cover-[slug].png / NN-page-[slug].png
NN-cover-[slug].md / NN-page-[slug].md (in prompts/)

Examples:

  • 00-cover-turing-story.png
  • 01-page-early-life.png
  • 02-page-cambridge-years.png
  • 03-page-enigma-machine.png

Slug rules:

  • Derived from page title/content (kebab-case)
  • Must be unique within comic
  • When page content changes significantly, update slug accordingly

Renumbering:

  • After add/delete, update NN prefix for affected pages
  • Slug remains unchanged unless content changes
  • Maintain sequential numbering with no gaps

Style-Specific Guidelines

Ohmsha Style (--style ohmsha)

Additional requirements for educational manga:

  • Default: Use Doraemon characters directly - No need to create new characters

- 大雄 (Nobita): Student role, curious learner - 哆啦A梦 (Doraemon): Mentor role, explains concepts with gadgets - 胖虎 (Gian): Antagonist/challenge role, represents obstacles or misconceptions - 静香 (Shizuka): Supporting role, asks clarifying questions

  • Custom characters only if explicitly requested: --characters "Student:小明,Mentor:教授"
  • Must use visual metaphors (gadgets, action scenes) - NO talking heads
  • Page titles: narrative style, not "Page X: Topic"

Reference: references/ohmsha-guide.md for detailed guidelines.

References

Detailed templates and guidelines in references/ directory:

  • analysis-framework.md - Deep content analysis for comic adaptation
  • character-template.md - Character definition format and examples
  • storyboard-template.md - Storyboard structure and panel breakdown
  • ohmsha-guide.md - Ohmsha manga style specifics
  • styles/ - Detailed style definitions
  • layouts/ - Detailed layout definitions

Extension Support

Custom styles and configurations via EXTEND.md.

Check paths (priority order):

  1. .content-gen-skills/comic/EXTEND.md (project)
  2. ~/.content-gen-skills/comic/EXTEND.md (user)

If found, load before Step 1. Extension content overrides defaults.

平台分布

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22.76%
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18.27%
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windsurf

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OpenCode

3.53%
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安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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