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comfyui-retro-animecomfyui 复古 动漫

Agent Skill

comfyui-retro-anime 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

总安装

2,280

周安装

95

GitHub Stars

公开资料未说明

下载量

760
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:comfyui-retro-anime(comfyui 复古 动漫)
来源仓库:https://github.com/tippyentertainment/skills
仓库路径:skills/comfyui-retro-anime
安装命令:
npx skills add https://github.com/tippyentertainment/skills --skill comfyui-retro-anime
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。

skills.shnpx skills
npx skills add https://github.com/tippyentertainment/skills --skill comfyui-retro-anime

简介

comfyui-retro-anime 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适用于围绕仓库状态、代码变更或协作事项进行整理和分析的场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Provided by TippyEntertainment

https://github.com/tippyentertainment/skills.git

This skill is designed for use on the Tasking.tech agent platform (https://tasking.tech) and is also compatible with assistant runtimes that accept skill-style handlers such as.claude,.openai, and.mistral. Use this skill for both Claude code and Tasking.tech agent source.

ComfyUI Retro Anime Skill

You control workflows in c:\anime-creator that generate images, videos/movie frames, sound effects, and voices using ComfyUI.

Your job is to turn natural-language requests into concrete prompts that follow one global style template so all assets look and feel like they belong to the same late‑90s / early‑2000s anime universe.


Global Prompt Template

For all creations (characters, movie frames, sound effects, voices, images), start from this base template:

Retro anime style of the late 1990s and early-2000s, full body shot [GENDER and RACE] [PHYSICAL DESCRIPTION], retro anime screen still --ar 16:9 --v 7.0

Filling the placeholders

  • [GENDER and RACE] Short phrase, e.g.:

- young Japanese woman - Black teenage boy - Latina girl - middle-aged white man

  • [PHYSICAL DESCRIPTION] 1–2 short clauses covering:

- body type - hair (style/color) - clothing / outfit - key props or vibe

Example prompts:

  • Retro anime style of the late 1990s and early-2000s, full body shot young Japanese woman with short black hair, blue school uniform and messenger bag, retro anime screen still --ar 16:9 --v 7.0
  • Retro anime style of the late 1990s and early-2000s, full body shot tall Black man with dreadlocks, green bomber jacket and headphones, retro anime screen still --ar 16:9 --v 7.0

You may optionally add a scene clause after the physical description for movie frames (e.g., “standing on a rainy neon-lit city street at night”) while keeping everything else unchanged.


Modalities

You use the same character/scene description across modalities so they feel coherent.

1. Images (Characters & Frames)

  • Use the template directly as the main positive prompt.
  • For characters, keep backgrounds simple unless specified.
  • For movie frames, add a scene or action clause:

- ..., running through a crowded train station, retro anime screen still --ar 16:9 --v 7.0

  • Keep [GENDER and RACE] and [PHYSICAL DESCRIPTION] identical across multiple frames of the same character so design stays consistent.

2. Sound Effects

  • Still anchor the description in the same retro-anime world.
  • Use the character/scene text as context, then specify the sound: Example (internal text for the SFX model):

- Retro anime style of the late 1990s and early-2000s. Full body shot young Japanese woman with short black hair in a school uniform running through a rainy city street. Generate the diegetic soundscape that matches this anime screen still: footsteps splashing in puddles, distant traffic, soft rain.

  • Ensure the mood and energy match the described shot (calm, tense, action, etc.).

3. Voices

  • Use the same character description and era/style as context.
  • Specify: Example internal prompt:

- gender/age, - emotional tone, - language/accent, - speaking style (e.g., “typical late-90s shounen protagonist”): - Retro anime style of the late 1990s and early-2000s. Full body shot teenage white boy with messy blond hair, school uniform and skateboard. Generate his voice: energetic male teen, slightly raspy, expressive, Japanese-accented English, sounds like a late-90s shounen anime protagonist.

  • Use the same description whenever this character speaks again.

When to Use This Skill

Use this skill when the user asks to:

  • Create or update anime characters.
  • Generate movie frames/scenes, storyboards, or key art.
  • Produce sound effects or voices tied to these characters/scenes.
  • Maintain a cohesive retro‑anime aesthetic across a project.

Do not use this skill for:

  • Non-anime styles (realistic photos, Western cartoons, UI mockups, logos).
  • Assets that must match a different, explicitly specified art direction.

Workflow

  1. Parse the request

- Identify: character(s), scene, mood, modality (image, frame, sfx, voice). - If gender, race, or physical description are missing or ambiguous, ask 2–3 clarifying questions.

  1. Construct the base prompt

- Fill [GENDER and RACE] and [PHYSICAL DESCRIPTION]. - Add optional scene/action clause for frames and audio. - Preserve --ar 16:9 --v 7.0 suffix for visual generations.

  1. Map to modality

- Images/frames: use prompt directly. - SFX/voices: reuse the same descriptive text as context, then add explicit audio instructions.

  1. Maintain consistency

- For existing characters, reuse the same gender/race/physical description and only adjust pose, scene, or emotion per request. - Keep era and style language (retro late‑90s / early‑2000s anime) unchanged.


Output Format

When this skill is invoked, respond with a concise, structured object:

  • For images/frames:

- type: image or frame - prompt: final text prompt string - character_id (optional): stable identifier if provided

  • For sound/voice:

- type: sfx or voice - context_prompt: full descriptive text - character_id (if applicable)

This output will be passed into the corresponding ComfyUI workflow nodes.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.79%
按下载量换算295

Claude

27.76%
按下载量换算211

Cursor

17.75%
按下载量换算135

Gemini CLI

8.89%
按下载量换算68

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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