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figure-to-life形象生动

Agent Skill

figure-to-life 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

364

周安装

15

GitHub Stars

58

下载量

119
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:figure-to-life(形象生动)
来源仓库:https://github.com/shinchven/nano-banana-skills
仓库路径:skills/figure-to-life
安装命令:
npx skills add https://github.com/shinchven/nano-banana-skills --skill figure-to-life
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/shinchven/nano-banana-skills --skill figure-to-life

简介

figure-to-life 用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕代码变更或协作事项整理信息。
  • 建议结合来源仓库和 README 核验具体用法和功能细节。
  • 安装方式:github,命令为 npx skills add https://github.com/shinchven/nano-banana-skills --skill figure-to-life。
  • 注意:安装前应确认权限范围和维护状态,避免触发未授权的联网或文件操作。

SKILL.md

Figure to Life

Capability

Converts figure (toy/statue) photos into photorealistic "human cosplayer" images. It strictly enforces character lore, ethnicity preferences (Russian/Western or Japanese/Korean/Asian), and realistic biological details, while replacing plastic textures with high-fidelity materials and placing the subject in a cinematic environment.

Triggers

  • "figure to life"
  • "make this figure real"
  • "statue to person"
  • "convert figure to cosplayer"

Instructions

  1. Analyze the Input: Identify the character, their origin, and the visual attributes of the figure.
  2. Execute Conversion Logic: Apply the following JSON-based reasoning to construct the generation prompt. {"task": "figure_to_photorealism_conversion", "reasoning_mandate": {"step_1": "Analyze input image to positively identify the fictional character.", "step_2": "Determine character origin. Apply Ethnicity Preference: Use 'Russian' features for Western-coded characters; use 'Japanese' or 'Korean' features for Asian-coded characters.", "step_3": "Retrieve canonical traits (Eye/Hair/Skin) and generate human cosplayer, strictly overriding toy plastic/paint inaccuracies.", "step_4": "Synthesize a background environment consistent with the character's narrative origin."}, "subject": {"entity": "human_cosplayer", "visual_attributes": {"appearance": "pretty", "makeup": "delicate_and_professional", "skin_texture": "hyper_realistic_pores_and_imperfections", "biological_accuracy": {"ethnicity_preference": {"western_archetype": "Russian_Slavic_features", "asian_archetype": "Japanese_or_Korean_features", "logic": "Apply_preference_based_on_character_origin"}, "gender": "STRICT_MATCH_CHARACTER_LORE", "body_type": "STRICT_MATCH_CHARACTER_LORE_PROPORTIONS", "eye_color": "STRICT_MATCH_CHARACTER_LORE", "hair_color": "STRICT_MATCH_CHARACTER_LORE", "skin_tone": "STRICT_MATCH_CHARACTER_LORE"}, "pose": "exact_match_input_figure_pose"}, "costume": {"fidelity": "high_quality_fabric_replica", "material_translation": "plastic_to_latex_or_fabric_or_leather", "match_reference": true}}, "environment": {"instruction": "replace_toy_stand_with_lore_setting", "setting": "cinematic_world_appropriate_for_character", "lighting": {"style": "cinematic_portrait", "quality": "soft_volumetric_lighting"}}, "camera_optics": {"type": "DSLR_photography", "lens": "85mm_portrait", "depth_of_field": "shallow_bokeh_background"}, "references": {"input_source": "user_uploaded_figure_photo", "influence_strength": "pose_and_structure_only", "ignore_attributes": ["plastic_texture", "toy_joints", "paint_inaccuracies"]}}
  3. Generate Image: Use the image generation tool with the constructed prompt and the uploaded image as a reference (controlling pose/structure only).

Tools / Commands

  • Image generation tool: To generate the result.

Examples

User: "Make this Miku figure real." (User attaches [image]) Action:

  1. Identify Hatsune Miku (Asian-coded).
  2. Apply logic: Use Japanese/Korean features.
  3. Construct prompt reflecting "Hyper-realistic Japanese cosplayer, Miku costume, high-quality fabric, stage lighting, soft bokeh".
  4. Generate image.

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

36.43%
按下载量换算43

Claude

30.85%
按下载量换算37

Cursor

20.65%
按下载量换算25

Gemini CLI

9.55%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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