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picturepicture 效率

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

1,102

周安装

45

GitHub Stars

1

下载量

353
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:picture(picture 效率)
来源仓库:https://github.com/spm1001/claude-suite
仓库路径:skills/picture
安装命令:
npx skills add https://github.com/spm1001/claude-suite --skill picture
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/spm1001/claude-suite --skill picture

简介

picture 用于辅助图像生成和图片编辑,支持视觉素材处理和图像模型工作流。

  • 适用于根据文本生成图片、处理背景或整理视觉提示词等场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装并调用。
  • 需确认输入图片、版权来源和输出格式,涉及人物或品牌时应核对授权。
  • 建议结合项目需求调整参数,避免生成不符合预期的内容。

SKILL.md

Image Generation

Generate AI images using Google Imagen via the Gemini API.

When to Use

  • Presentation images (hero visuals, section dividers)
  • Conceptual illustrations (visual metaphors, abstract concepts)
  • Photo-realistic images (product mockups, scenarios)
  • Visual explanations that benefit from AI generation

When NOT to Use

  • Precise diagrams or charts — use diagramming skill (editable SVG, exact data)
  • Screenshots — use screenshot skill
  • Simple icons — often faster to find stock or use emoji

Overlap with diagramming: There's fuzzy boundary. A "chart for a presentation" could go either way:

  • Need precise data, editability → diagramming
  • Need striking visual punch → image-generation
  • Use judgement; ask if unclear.

Workflow

1. Understand the Need

Clarify with user:

  • Purpose — presentation, concept illustration, visual metaphor?
  • Style — photorealistic, illustration, abstract?
  • Brand — does it need ITV styling? (if so, read itv-styling skill)

2. Draft with Flash

Use the fast model for initial iterations:

${CLAUDE_SKILL_DIR}/imagen.sh "prompt" --model gemini-2.5-flash-image

3. Review and Refine

Open the image, assess, iterate:

# Edit mode: refine previous output
${CLAUDE_SKILL_DIR}/imagen.sh "make it warmer, add more contrast" --input ./images/previous.png

4. Final Render with Pro

For client-facing or final deliverables:

${CLAUDE_SKILL_DIR}/imagen.sh "prompt" --model gemini-3-pro-image-preview

Command Reference

# Basic generation
imagen.sh "prompt" [--output ./images] [--model MODEL]

# Edit existing image
imagen.sh "refinement prompt" --input previous.png

# Models
--model gemini-2.5-flash-image     # Fast, cheap (default)
--model gemini-3-pro-image-preview # Higher quality
--model imagen-4.0-generate-preview-06-06  # Imagen 4

Output: Saves to ./images/ with timestamped filename, prints path.

Prompting Framework

Based on Max Woolf's Nano Banana research.

Structure

[Specific object description with exact requirements in CAPS]

Aspects that MUST be followed EXACTLY:
- [Compositional rule 1]
- [Compositional rule 2]

[Publication/camera details for style elevation]

Do not include [unwanted elements].

Key Techniques

TechniqueExample
Structured bulletsRequirements as dashed list, not prose
ALL CAPS constraints"MUST", "EXACTLY" increases adherence
Hex colors#9F2B68 more precise than "magenta"
Composition rules"rule of thirds", "negative space", "depth of field"
Style elevators"Pulitzer Prize-winning cover photo for NYT"
Camera specs"Canon EOS 90D DSLR camera"
Publication targets"Vanity Fair cover profile"
Negative constraints"Do not include text, watermarks, or line overlays"

Example Prompt

A professional headshot of a confident business executive.

Aspects that MUST be followed EXACTLY:
- Shot from shoulders up, rule of thirds composition
- Neutral background with soft gradient #E8E8E8 to #FFFFFF
- Natural 3PM diffuse lighting from left
- Sharp focus on eyes, slight bokeh on background

Pulitzer Prize-winning portrait, Canon EOS R5, 85mm f/1.4.

Do not include any text, logos, or watermarks.

Composing with Brand Skills

With itv-styling

When creating ITV-branded images:

  1. Read itv-styling for color palette and principles
  2. Bake brand constraints into prompt:
Corporate presentation image for ITV.

Aspects that MUST be followed EXACTLY:
- Dark background #0F2323 (ITV dark green)
- Accent elements in #E8E557 (ITV yellow) or #4ECDC4 (ITV teal)
- Clean, modern, professional aesthetic
- No busy patterns or off-brand colors

Professional corporate photography style.

With diagramming

For hybrid needs (visual + precise data):

  • Generate AI background/illustration with image-generation
  • Overlay precise elements with diagramming
  • Composite manually if needed

Limitations

LimitationWorkaround
Style transfer fails ("Studio Ghibli style")Use structural descriptions instead
Text generation imperfectAdd text as overlay after generation
Exact positioning difficultIterate with refinement prompts
Rate limitsUse Flash for drafts, Pro only for finals

Output Location

Images save to ./images/ in the project directory:

  • Created on first use
  • Timestamped filenames for uniqueness
  • Stays with project for easy reference

Anti-Patterns

PatternProblemFix
Skip brand checkInconsistent stylingLoad itv-styling first when brand applies
Vague promptsPoor resultsUse specific, concrete descriptions
Wrong tool for dataInaccurate chartsUse diagram skill for precise data

See Also

  • references/prompting.md — Extended prompting reference
  • diagramming skill — For precise diagrams and charts
  • itv-styling skill — For brand-constrained outputs

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

36.61%
按下载量换算129

Claude

31.99%
按下载量换算113

Cursor

16.92%
按下载量换算60

Gemini CLI

8.75%
按下载量换算31

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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