canvas-design

canvas-design is a skill for Claude Code, Codex from liyecom/liye-ai. It costs 10 tokens per session (915 once invoked), scanned A, original, Apache-2.0.

A visual-design guide for creating posters, infographics, presentation graphics, and other static artwork as PNG images or PDF documents.

In plain words
What is it for?
Use it to create or refine promotional posters, data infographics, product graphics, social-media artwork, and print-ready visual materials.
Why use it?
It provides a structured way to choose layout, typography, colour, spacing, and visual emphasis for readable designs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit Use it to create or refine promotional posters, data infographics, product graphics, social-media artwork, and print-ready visual materials.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liyecom/liye-ai/canvas-design
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add liyecom/liye-ai --skill canvas-design
Clone the repo
git clone --depth 1 https://github.com/liyecom/liye-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for canvas-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/liyecom/liye-ai/canvas-design/github.svg)](https://agentmods.dev/skills/liyecom/liye-ai/canvas-design)
Your own site
<a href="https://agentmods.dev/skills/liyecom/liye-ai/canvas-design"><img src="https://agentmods.dev/badge/skills/liyecom/liye-ai/canvas-design/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for canvas-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/liyecom/liye-ai/canvas-design"><img src="https://agentmods.dev/badge/skills/liyecom/liye-ai/canvas-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 915 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00010 $0.00915
Opus 5 $0.00005 $0.00458
Sonnet 5 $0.00002 $0.00183
Haiku 4.5 $0.00001 $0.00092

Measured 12d ago against content hash a9800b42b7ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

canvas-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Skills/00_Core_Utilities/creative/canvas-design/SKILL.md · 124 lines

What it actually says

Canvas Design

来源: ComposioHQ/awesome-claude-skills 适配: LiYe OS 三层架构

使用设计哲学创建视觉艺术作品,输出 PNG 和 PDF 格式,适用于海报、设计稿、静态作品。

When to Use This Skill

当需要创建视觉设计时:

  • 创建海报和宣传材料
  • 设计信息图表
  • 制作演示用视觉素材
  • 创作静态艺术作品
  • 生成 PNG/PDF 格式输出

Core Capabilities

1. 视觉设计原则

  • 对比 (Contrast): 突出重要元素
  • 重复 (Repetition): 建立一致性
  • 对齐 (Alignment): 创造秩序感
  • 亲密 (Proximity): 组织相关元素

2. 排版与构图

  • 网格系统应用
  • 视觉层次建立
  • 留白运用
  • 焦点引导

3. 色彩理论

  • 色彩搭配原则
  • 情绪与色彩关联
  • 品牌色应用
  • 对比度与可读性

4. 输出格式

  • PNG: 高质量位图,适合网络
  • PDF: 矢量格式,适合打印
  • 分辨率优化
  • 尺寸适配

5. 设计迭代

  • 快速原型
  • 版本对比
  • 反馈整合
  • 持续优化

Usage Examples

示例 1: 产品海报

用户: 帮我设计一个 Amazon 产品的促销海报
Claude: [使用 canvas-design 创建视觉吸引的促销海报]

示例 2: 信息图表

用户: 把这些数据做成一个信息图表
Claude: [使用 canvas-design 设计数据可视化信息图]

示例 3: 社交媒体素材

用户: 帮我创建一套 Instagram 帖子素材
Claude: [使用 canvas-design 设计统一风格的社交媒体图片]

Dependencies

  • PNG/PDF 生成库
  • 设计渲染引擎
  • 可选:Canvas API、SVG 库

LiYe OS Integration

业务域引用

此技能被以下业务域引用:

  • 03_Creative_Production: 视觉设计(主域)
  • 02_Operation_Intelligence: 产品图设计
  • 08_Communication: 演示素材

三层架构位置

  • 物理层 (本文件): Skills/00_Core_Utilities/creative/canvas-design/
  • 逻辑层索引: Skills/{domain}/index.yaml
  • L3 指令层: .claude/skills/{domain}/canvas-design/

Created: 2025-12-28 | Adapted for LiYe OS

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 124 lines · 10 tokens per session scan A a9800b42b7ec

Subscribe to this mod's changes

canvas-design is a skill published in the GitHub repository liyecom/liye-ai (33 stars, last pushed today), licensed Apache-2.0. It adds 10 tokens to every session and 915 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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