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docsor1212/aesthete-agent

Mechanically validated frontend aesthetics for AI agents: 89-palette evidence library, OKLCH generation, WCAG/APCA contrast, color-blind-safe data colors, AI-slop detection, theme packs, W3C design tokens. Skill + MCP server.

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1skill in this repository

44commits in 30 days

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Individual skills in this repository

aesthete-agent /

How it works

aesthete-agent

When your agent uses it

Color palette generation, frontend aesthetics, UI color schemes — mechanically validated color output for UI/HTML, SVG slides, video covers, charts and posters. An 119-palette evidence library matched by register, OKLCH harmony generation, luminance ramps and image extraction; 60-30-10 role mapping with semantic colors; a 5-dimension scorecard plus WCAG contrast, color-blind simulation and AI-slop detection as four mechanical gates; card and six-scene visualizer previews; a preference-learning profile that evolves with every verdict. Named theme packs, full contrast matrices, CB-safe data-viz palettes, five-lens critique reports, and APCA (WCAG 3 draft) perceptual contrast included. Pure stdlib, offline. Skip when pure text layout, translation or polishing, copywriting, or any task unrelated to color and frontend aesthetics. Trigger words — color palette, color scheme, palette generation, frontend aesthetics, UI color, design aesthetics, hex, contrast, WCAG, color blind, visual taste, aesthete-agent.

What it loads into context

Frontmatter

231 tokens

Always available to the agent

SKILL.md

4,563 tokens

When the skill is activated

Reference documents

34,888 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Capability × Boundary Quick Reference
Six-Step Method
Verdict write-back & customization
Reference docs (30-second routing)
Selection methodology

Scripts executed separately

mcp/server.py
scripts/_showcase_scenes.py
scripts/build_library.py
scripts/chart_kit.py
scripts/color_director.py
scripts/exemplar_kit.py
scripts/font_kit.py
scripts/layout_recipes.py
scripts/lint_page.py
scripts/loop_kit.py
scripts/make_cjk_subset.py
scripts/make_exemplars.py
scripts/make_variants.py
scripts/narrate_kit.py
scripts/page_audit.py
scripts/palette_forge.py
scripts/qc_kit.py
scripts/render_probe.js
scripts/scaffold_kit.py
scripts/scene_kit.py
scripts/token_sheet.py
scripts/type_kit.py
tests/__init__.py
tests/test_v00202.py
tests/test_v00300.py
tests/test_v00400.py
tests/test_v00500.py
tests/test_v00501.py
tests/test_v00600.py
tests/test_v00601.py
tests/test_v00700.py
tests/test_v00800.py
tests/test_v00900.py
tests/test_v01000.py
tests/test_v01100.py
tests/test_v01200.py
tests/test_v01300.py
tests/test_v01400.py
tests/test_v01500.py
tests/test_v01600.py
tests/test_v01700.py
tests/test_v01800.py
tests/test_v01900.py

Files

.gitignoreasset25 bytes
LICENSEasset1,063 bytes
README.mddoc9,625 bytes
README.zh-CN.mddoc9,196 bytes
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profile.jsonasset1,849 bytes
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Read SKILL.md


# aesthete-agent — Frontend Aesthetics Engine

Why LLM color output is bad, with evidence: models treat hex codes as text, regress to the median of training data (the frontend-tutorial median is purple/indigo), and cannot actually see color. The fix is not a better model — it is **outsourcing taste to process**: manifesto first, role mapping, mechanical validation, in-context self-review.

⛔ Iron rules:
1. **No bare palette writing.** Every color task goes through the six-step method; step 6 (five-lens review) is not skippable.
2. **No runtime access to the source site** — no public API, direct connections hit Cloudflare 403; all data ships offline.
3. **The brief is law**: colors and aesthetics pinned by the user are binding constraints. Already-shipped brand systems are out of scope for re-paletteing.
4. **Bounded verification**: build fully → one batched review → one batched fix round → at most one more confirmation → **stop polishing**.
5. **Candidate discipline**: user verdicts require ≥2 full-page candidates (`make_variants.py` builds the comparison sheet); a single proposal is not sent for review.
6. **Verdict write-back**: every accept/reject lands in `profile.json` (machine-read) and `critique.md` necropsies (failure modes) — no write-back, no growth.

### Task → command (30 seconds)

View the complete source on GitHub

Skills included

aesthete-agent

Repository facts

License: MIT
Created: Oct 14, 2026
Last pushed: Oct 25, 2026
Forks: 0
Open issues: 0
Project activity: Active

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 5, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

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No broad tool permissions
No dangerous shell commands
128 network referencesin 20 files: docs/index.html:6 README.md:1 README.zh-CN.md:1 and 17 more
No hidden or obfuscated text
No instruction overrides
43 executable scriptsin 43 files: mcp/server.py:1 scripts/_showcase_scenes.py:1 scripts/build_library.py:1 and 40 more
No access to secrets
No requests to vote in Hot

Show all 171 signals by file

`README.md`

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<p align="center"> <b>English</b> | <a href="README.zh-CN.md">简体中文</a> | <a href="https://docsor1212.github.io/aesthete-agent/">Online demo</a>

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<b>English</b> | <a href="README.zh-CN.md">简体中文</a> | <a href="https://docsor1212.github.io/aesthete-agent/">Online demo</a>

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[![install](https://img.shields.io/badge/install-npx%20skills%20add%20docsor1212%2Faesthete--agent-blue)](https://github.com/docsor1212/aesthete-agent)

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[![license](https://img.shields.io/badge/license-MIT-green)](LICENSE)

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[![palette library](https://img.shields.io/badge/palette%20library-119%20curated-orange)](#the-evidence-library)

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[![tests](https://img.shields.io/badge/tests-125%20passing-brightgreen)](tests/)

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Every image below is a real deliverable produced by the engine — roles derived in OKLCH, contrast gated, color-blind simulated, slop checked, then rendered into a full scene. No hand-picked colors. Live versions: [visual showcase](https://d

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or open [skillhub.cn/skills/aesthete-agent](https://skillhub.cn/skills/aesthete-agent) and click 安装到本地 Agent.

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| Platform | Handle | Link | |---|---|---| | GitHub (source of truth) | [docsor1212/aesthete-agent](https://github.com/docsor1212/aesthete-agent) | install above |

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|---|---|---| | GitHub (source of truth) | [docsor1212/aesthete-agent](https://github.com/docsor1212/aesthete-agent) | install above | | SkillHub (中文站) | [aesthete-agent](https://skillhub.cn/skills/aesthete-agent) | `skillhub install aesthe

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| GitHub (source of truth) | [docsor1212/aesthete-agent](https://github.com/docsor1212/aesthete-agent) | install above |

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| SkillHub (中文站) | [aesthete-agent](https://skillhub.cn/skills/aesthete-agent) | `skillhub install aesthete-agent` |

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| ClawHub | [aesthete-agent](https://clawhub.ai/skills/aesthete-agent) | `npx clawhub install aesthete-agent` |

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| PyPI (MCP) | [aesthete-agent-mcp](https://pypi.org/project/aesthete-agent-mcp/) | `uvx aesthete-agent-mcp` |

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| Smithery (MCP) | [docsor1212/aesthete-agent-mcp](https://smithery.ai/server/docsor1212/aesthete-agent-mcp) | `npx -y @smithery/cli install ...` |

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| Online demo | [GitHub Pages](https://docsor1212.github.io/aesthete-agent/) | showcase + live visualizers |

`README.zh-CN.md`

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<p align="center"> <a href="README.md">English</a> | <b>简体中文</b> | <a href="https://docsor1212.github.io/aesthete-agent/">在线演示</a>

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<a href="README.md">English</a> | <b>简体中文</b> | <a href="https://docsor1212.github.io/aesthete-agent/">在线演示</a>

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[![install](https://img.shields.io/badge/install-npx%20skills%20add%20docsor1212%2Faesthete--agent-blue)](https://github.com/docsor1212/aesthete-agent)

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[![license](https://img.shields.io/badge/license-MIT-green)](LICENSE)

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[![palette library](https://img.shields.io/badge/palette%20library-119%20curated-orange)](#实证色板库)

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[![tests](https://img.shields.io/badge/tests-125%20passing-brightgreen)](tests/)

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下面每张图都是引擎的真实产出——OKLCH 角色派生、对比度过闸、色盲模拟、AI 味检查，然后渲染成完整场景。没有一张是手工挑色的。在线版：[视觉 showcase](https://docsor1212.github.io/aesthete-agent/demo/showcase.html)（30 个场景 × 精选色板）。

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或打开 [skillhub.cn/skills/aesthete-agent](https://skillhub.cn/skills/aesthete-agent)，点「安装到本地 Agent」。

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| 平台 | 句柄 | 链接 | |---|---|---| | GitHub（源） | [docsor1212/aesthete-agent](https://github.com/docsor1212/aesthete-agent) | 安装命令见上 |

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|---|---|---| | GitHub（源） | [docsor1212/aesthete-agent](https://github.com/docsor1212/aesthete-agent) | 安装命令见上 | | SkillHub（中文站） | [aesthete-agent](https://skillhub.cn/skills/aesthete-agent) | `skillhub install aesthete-agent` |

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| GitHub（源） | [docsor1212/aesthete-agent](https://github.com/docsor1212/aesthete-agent) | 安装命令见上 |

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| SkillHub（中文站） | [aesthete-agent](https://skillhub.cn/skills/aesthete-agent) | `skillhub install aesthete-agent` |

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| ClawHub | [aesthete-agent](https://clawhub.ai/skills/aesthete-agent) | `npx clawhub install aesthete-agent` |

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| PyPI（MCP） | [aesthete-agent-mcp](https://pypi.org/project/aesthete-agent-mcp/) | `uvx aesthete-agent-mcp` |

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| Smithery（MCP） | [docsor1212/aesthete-agent-mcp](https://smithery.ai/server/docsor1212/aesthete-agent-mcp) | `npx -y @smithery/cli install ...` |

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| 在线演示 | [GitHub Pages](https://docsor1212.github.io/aesthete-agent/) | showcase + 在线 visualizer |

`assets/fonts/README-OFL.txt`

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Fonts in this directory are subsets of Noto Serif SC (SIL Open Font License 1.1). Copyright 2014-2021 Adobe (originally), published by Google. OFL 1.1 full text: https://openfontlicense.org

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Copyright 2014-2021 Adobe (originally), published by Google. OFL 1.1 full text: https://openfontlicense.org Subsets generated by aesthete-agent font pipeline (--fonts preset/auto).

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OFL 1.1 full text: https://openfontlicense.org

`docs/demo/showcase.html`

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.divbar{height:3px;background:#1F2328;width:64px;border-radius:2px;margin:18px 0 10px} footer{padding:48px 0 72px;font:400 13px system-ui;color:#6B7280;text-align:center} </style></head><body><div class='topnav'><div class='bar'><a class='b

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footer{padding:48px 0 72px;font:400 13px system-ui;color:#6B7280;text-align:center} </style></head><body><div class='topnav'><div class='bar'><a class='brand' href='../'><span class='mark'><i style='background:#FFA69E'></i><i style='backgro

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</style></head><body><div class='topnav'><div class='bar'><a class='brand' href='../'><span class='mark'><i style='background:#FFA69E'></i><i style='background:#B8F2E6'></i></span>aesthete-agent <span class='chip'>v0.7.0</span></a><nav><a h

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<section class='scene' id='sD2'><div class='shead'><span class='sno'>D2</span><h2>Dashboard — KPI + revenue — bright dark</h2><div class='badges'><span class='b ok'>text/bg 8.0:1 AA</span><span class='b ok'>color-blind safe</span><span clas

`docs/index.html`

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<title>aesthete-agent — color systems that pass the review</title> <meta name="description" content="A mechanical color engine for front-end work: register-matched palette library, OKLCH role derivation, and four gates that catch contrast f

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<meta name="description" content="A mechanical color engine for front-end work: register-matched palette library, OKLCH role derivation, and four gates that catch contrast failures, color-blindness collisions and AI-slop signatures before a

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<link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' rx='7' fill='%233D405B'/%3E%3Crect x='6' y='6' width='9' height='20' rx='2' fill='%23FFA69E'/%3E%3Crect

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<a href="#how">How it works</a>         <a href="#install">Install</a>         <a href="https://github.com/docsor1212/aesthete-agent">GitHub</a>

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<a href="#install">Install</a>         <a href="https://github.com/docsor1212/aesthete-agent">GitHub</a>       </span>

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<a href="https://github.com/docsor1212/aesthete-agent">GitHub</a>

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<a href="#how">工作原理</a>         <a href="#install">安装</a>         <a href="https://github.com/docsor1212/aesthete-agent">GitHub</a>

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<a href="#install">安装</a>         <a href="https://github.com/docsor1212/aesthete-agent">GitHub</a>       </span>

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<a href="https://github.com/docsor1212/aesthete-agent">GitHub</a>

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<span class="lbl l-en">SkillHub (CN)</span><span class="lbl l-zh">SkillHub（国内）</span>         <code>skillhub install aesthete-agent --dir ~/.claude/skills</code>         <span class="note l-en"><a href="https://skillhub.cn/skills/aesthete-a

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<code>skillhub install aesthete-agent --dir ~/.claude/skills</code>         <span class="note l-en"><a href="https://skillhub.cn/skills/aesthete-agent">skillhub.cn</a></span>         <span class="note l-zh"><a href="https://skillhub.cn/skil

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<span class="note l-en"><a href="https://skillhub.cn/skills/aesthete-agent">skillhub.cn</a></span>

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<span class="note l-zh"><a href="https://skillhub.cn/skills/aesthete-agent">skillhub.cn</a></span>

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<span class="lbl l-en">ClawHub</span><span class="lbl l-zh">ClawHub</span>         <code>npx clawhub install aesthete-agent</code>         <span class="note l-en"><a href="https://clawhub.ai/skills/aesthete-agent">clawhub.ai</a></span>

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<code>npx clawhub install aesthete-agent</code>         <span class="note l-en"><a href="https://clawhub.ai/skills/aesthete-agent">clawhub.ai</a></span>         <span class="note l-zh"><a href="https://clawhub.ai/skills/aesthete-agent">claw

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<span class="note l-en"><a href="https://clawhub.ai/skills/aesthete-agent">clawhub.ai</a></span>

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<span class="note l-zh"><a href="https://clawhub.ai/skills/aesthete-agent">clawhub.ai</a></span>

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<span class="lbl l-en">DeepSeek Harness plugin</span><span class="lbl l-zh">DeepSeek Harness 原生插件</span>         <code>dsh plugin --profile web add github:docsor1212/dsh-aesthete-agent</code>         <span class="note l-en"><a href="https:/

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<code>dsh plugin --profile web add github:docsor1212/dsh-aesthete-agent</code>         <span class="note l-en"><a href="https://github.com/docsor1212/dsh-aesthete-agent">8 native tools, local engine</a></span>         <span class="note l-zh

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<span class="note l-en"><a href="https://github.com/docsor1212/dsh-aesthete-agent">8 native tools, local engine</a></span>

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<span class="note l-zh"><a href="https://github.com/docsor1212/dsh-aesthete-agent">8 个原生工具，本地引擎</a></span>

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<span class="lbl l-en">MCP server</span><span class="lbl l-zh">MCP 服务器</span>         <code>uvx aesthete-agent-mcp</code>         <span class="note l-en">13 tools from PyPI, any MCP client · or via <a href="https://smithery.ai/server/docsor

Network accessline 328

<code>uvx aesthete-agent-mcp</code>         <span class="note l-en">13 tools from PyPI, any MCP client · or via <a href="https://smithery.ai/server/docsor1212/aesthete-agent-mcp">Smithery</a></span>         <span class="note l-zh">来自 PyPI 的

Network accessline 329

<span class="note l-en">13 tools from PyPI, any MCP client · or via <a href="https://smithery.ai/server/docsor1212/aesthete-agent-mcp">Smithery</a></span>

Network accessline 330

<span class="note l-zh">来自 PyPI 的 13 个工具，任何 MCP 客户端 · 或经 <a href="https://smithery.ai/server/docsor1212/aesthete-agent-mcp">Smithery</a></span>

Network accessline 337

<div class="wrap">     <nav>       <a href="https://github.com/docsor1212/aesthete-agent">GitHub</a>

Network accessline 338

<nav>       <a href="https://github.com/docsor1212/aesthete-agent">GitHub</a>       <a href="https://pypi.org/project/aesthete-agent-mcp/">PyPI</a>

Network accessline 339

<a href="https://github.com/docsor1212/aesthete-agent">GitHub</a>

Network accessline 340

<a href="https://pypi.org/project/aesthete-agent-mcp/">PyPI</a>

Network accessline 341

<a href="https://smithery.ai/server/docsor1212/aesthete-agent-mcp">Smithery</a>

Network accessline 342

<a href="https://skillhub.cn/skills/aesthete-agent">SkillHub</a>

Network accessline 343

<a href="docs.html">技术文档</a>       <a href="https://docsor.cn/">docsor.cn</a>     </nav>

Network accessline 344

<a href="https://docsor.cn/">docsor.cn</a>

`glama.yml`

Network accessline 1

# Glama.ai platform configuration # https://glama.ai/mcp/servers/docsor1212/aesthete-agent

Network accessline 2

# https://glama.ai/mcp/servers/docsor1212/aesthete-agent

Network accessline 6

author: "SorSor"   license: "MIT"   homepage: "https://github.com/docsor1212/aesthete-agent"

Network accessline 7

license: "MIT"   homepage: "https://github.com/docsor1212/aesthete-agent"   repository: "https://github.com/docsor1212/aesthete-agent"

Network accessline 8

homepage: "https://github.com/docsor1212/aesthete-agent"

Network accessline 9

repository: "https://github.com/docsor1212/aesthete-agent"

Network accessline 10

documentation: "https://github.com/docsor1212/aesthete-agent#readme"

Network accessline 11

support: "https://github.com/docsor1212/aesthete-agent/issues"

`mcp/README.md`

Network accessline 8

uvx --from "git+https://github.com/docsor1212/aesthete-agent#subdirectory=mcp" aesthete-agent-mcp

Network accessline 33

"aesthete-agent": {       "command": "uvx",       "args": ["--from", "git+https://github.com/docsor1212/aesthete-agent#subdirectory=mcp", "aesthete-agent-mcp"]

Network accessline 34

"command": "uvx",       "args": ["--from", "git+https://github.com/docsor1212/aesthete-agent#subdirectory=mcp", "aesthete-agent-mcp"]     }

Network accessline 35

"args": ["--from", "git+https://github.com/docsor1212/aesthete-agent#subdirectory=mcp", "aesthete-agent-mcp"]

`mcp/server.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 5

Run (FastMCP environment):     uvx aesthete-agent-mcp            # PyPI (self-contained wheel)     # or: uvx --from "git+https://github.com/docsor1212/aesthete-agent#subdirectory=mcp" aesthete-agent-mcp

Network accessline 6

uvx aesthete-agent-mcp            # PyPI (self-contained wheel)     # or: uvx --from "git+https://github.com/docsor1212/aesthete-agent#subdirectory=mcp" aesthete-agent-mcp     # or: python mcp/server.py            # stdio mode

Network accessline 7

# or: uvx --from "git+https://github.com/docsor1212/aesthete-agent#subdirectory=mcp" aesthete-agent-mcp

`references/design-techniques.md`

Network accessline 27

<!-- 颗粒噪点(data-URI,零外链) --> :root{--grain:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' height='240'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3C/filter%3

Network accessline 28

:root{--grain:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' height='240'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3C/filter%3E%3Crect width='240' height=

`references/exemplars/blueprint-dark.html`

Network accessline 64

body{background:var(--night);color:var(--pale)} .frame{background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24'%3E%3Cpath d='M24 0H0V24' fill='none' stroke='%23DBEAFE' stroke-opacity='.10'/%3

Network accessline 65

.frame{background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24'%3E%3Cpath d='M24 0H0V24' fill='none' stroke='%23DBEAFE' stroke-opacity='.10'/%3E%3C/svg%3E");background-size:24px 24px}

`references/exemplars/dark-four-act-dark.html`

Network accessline 25

--serif:'Noto Serif SC','Source Han Serif SC','Songti SC',Georgia,serif;   --sans:-apple-system,'PingFang SC','Microsoft YaHei','Segoe UI',sans-serif;   --grain:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' h

Network accessline 26

--sans:-apple-system,'PingFang SC','Microsoft YaHei','Segoe UI',sans-serif;   --grain:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' height='240'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFr

Network accessline 27

--grain:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' height='240'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3C/filter%3E%3Crect width='240' height='240'

`references/exemplars/editorial-mag-light.html`

Network accessline 64

.bleed{height:60vh;background:var(--night);position:relative;overflow:hidden;         display:flex;align-items:flex-end} .bleed::after{content:"";position:absolute;inset:0;background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3

Network accessline 65

display:flex;align-items:flex-end} .bleed::after{content:"";position:absolute;inset:0;background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' height='240'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fra

Network accessline 66

.bleed::after{content:"";position:absolute;inset:0;background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' height='240'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numO

`references/expressive-design.md`

Network accessline 36

--grain:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' height='240'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3C/filter%3E%3Crect width='240' height='240'

`references/harvest-playbook.md`

Network accessline 11

- **无公开 API**:`the source site/api/*`、`/api/palettes/*` 等 curl 直连全部 HTTP 403(Cloudflare "Just a moment"),无论带什么 UA。WebFetch 同样 403。

Network accessline 19

1. **开页**:`agent.browsers.getForUrl("https://the source site/palettes/trending")` → 新 tab → goto → `waitForLoadState("domcontentloaded")`。Cloudflare 挑战页标题是"请稍候…",**等 5-8 秒**自动放行(无需点击),以 `tab.title()` 变为 "Trending Color Palettes - the source

`scripts/_showcase_scenes.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 701

"<a href='#vivid'>Vivid &amp; Bold</a><a href='#elegant'>Elegant &amp; Deep</a>"             "<a href='#dark'>Bright dark</a><a class='x' href='../'>&larr; Overview</a>"             "<a class='x' href='https://github.com/docsor1212/aesthete

Network accessline 702

"<a href='#dark'>Bright dark</a><a class='x' href='../'>&larr; Overview</a>"             "<a class='x' href='https://github.com/docsor1212/aesthete-agent'>GitHub</a></nav>"             "</div></div>"

Network accessline 703

"<a class='x' href='https://github.com/docsor1212/aesthete-agent'>GitHub</a></nav>"

Network accessline 719

+ dark_scenes +             "<footer>aesthete-agent v0.5.0 — every canvas above passed contrast / color-blind / AI-slop / scorecard gates before rendering."             "<br><a href='../'>&larr; Overview</a> · <a href='https://github.com/do

Network accessline 720

"<footer>aesthete-agent v0.5.0 — every canvas above passed contrast / color-blind / AI-slop / scorecard gates before rendering."             "<br><a href='../'>&larr; Overview</a> · <a href='https://github.com/docsor1212/aesthete-agent'>Git

Network accessline 721

"<br><a href='../'>&larr; Overview</a> · <a href='https://github.com/docsor1212/aesthete-agent'>GitHub</a> · "

Network accessline 722

"<a href='https://pypi.org/project/aesthete-agent-mcp/'>PyPI</a> · <a href='#top'>Back to top</a></footer>"

`scripts/build_library.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/chart_kit.py`

Executable scriptline 1
```
Executable file
```

`scripts/color_director.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/exemplar_kit.py`

Executable scriptline 1
```
Executable file
```

`scripts/font_kit.py`

Executable scriptline 1
```
Executable file
```

`scripts/layout_recipes.py`

Executable scriptline 1
```
Executable file
```

Network accessline 19

def _grain():     return ("url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' "

Network accessline 20

return ("url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' "

Network accessline 26

def _grid_bg(line_color):     svg = ("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24'%3E"

Network accessline 27

svg = ("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='24' height='24'%3E"

`scripts/lint_page.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/loop_kit.py`

Executable scriptline 1
```
Executable file
```

`scripts/make_cjk_subset.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 24

# Source Han Serif release assets (Adobe, OFL-1.1). Weight name -> file name # in https://github.com/adobe-fonts/source-han-serif/releases (SubsetOTF/CN/)

Network accessline 25

# in https://github.com/adobe-fonts/source-han-serif/releases (SubsetOTF/CN/)

Network accessline 31

"Regular": "SourceHanSerifCN-Regular.otf", } DOWNLOAD_URL = ("https://github.com/adobe-fonts/source-han-serif/releases/download/"

Network accessline 32

} DOWNLOAD_URL = ("https://github.com/adobe-fonts/source-han-serif/releases/download/"                 "2.003R/09_SourceHanSerifCN.zip")

Network accessline 33

DOWNLOAD_URL = ("https://github.com/adobe-fonts/source-han-serif/releases/download/"

`scripts/make_exemplars.py`

Executable scriptline 1
```
Executable file
```

`scripts/make_variants.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/narrate_kit.py`

Executable scriptline 1
```
Executable file
```

`scripts/page_audit.py`

Executable scriptline 1
```
Executable file
```

`scripts/palette_forge.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 2253

elif args.format == "svg":         w = 120 * len(hexes)         parts = [f'<svg xmlns="http://www.w3.org/2000/svg" width="{w}" height="120">']

Network accessline 2254

w = 120 * len(hexes)         parts = [f'<svg xmlns="http://www.w3.org/2000/svg" width="{w}" height="120">']         for i, h in enumerate(hexes):

Network accessline 2255

parts = [f'<svg xmlns="http://www.w3.org/2000/svg" width="{w}" height="120">']

`scripts/qc_kit.py`

Executable scriptline 1
```
Executable file
```

`scripts/render_probe.js`

Executable scriptline 1
```
Executable file
```

`scripts/scaffold_kit.py`

Executable scriptline 1
```
Executable file
```

Network accessline 129

--serif:'Noto Serif SC','Source Han Serif SC','Songti SC',Georgia,serif;   --sans:-apple-system,'PingFang SC','Microsoft YaHei','Segoe UI',sans-serif;   --grain:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' h

Network accessline 130

--sans:-apple-system,'PingFang SC','Microsoft YaHei','Segoe UI',sans-serif;   --grain:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' height='240'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFr

Network accessline 131

--grain:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='240' height='240'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3C/filter%3E%3Crect width='240' height='240'

`scripts/scene_kit.py`

Executable scriptline 1
```
Executable file
```

`scripts/token_sheet.py`

Executable scriptline 1
```
Executable file
```

`scripts/type_kit.py`

Executable scriptline 1
```
Executable file
```

`tests/init.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v00202.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v00300.py`

Executable scriptline 1
```
Executable file
```

Network accessline 100

svg = os.path.join(TMP, "sh.svg")         open(svg, "w", encoding="utf-8").write(             '<svg xmlns="http://www.w3.org/2000/svg"><rect fill="#E8E4F8"/>'

Network accessline 101

open(svg, "w", encoding="utf-8").write(             '<svg xmlns="http://www.w3.org/2000/svg"><rect fill="#E8E4F8"/>'             '<circle fill="#7C6BD4"/><rect fill="#3A3160"/><path fill="#FFFFFF"/>'

Network accessline 102

'<svg xmlns="http://www.w3.org/2000/svg"><rect fill="#E8E4F8"/>'

Network accessline 123

svg = os.path.join(TMP, "in.svg")         open(svg, "w", encoding="utf-8").write(             '<svg xmlns="http://www.w3.org/2000/svg"><rect width="10" height="10" '

Network accessline 124

open(svg, "w", encoding="utf-8").write(             '<svg xmlns="http://www.w3.org/2000/svg"><rect width="10" height="10" '             'fill="#E8E4F8"/><circle fill="#7C6BD4"/><path fill="#FFFFFF"/>'

Network accessline 125

'<svg xmlns="http://www.w3.org/2000/svg"><rect width="10" height="10" '

`tests/test_v00400.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v00500.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v00501.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v00600.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v00601.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v00700.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v00800.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v00900.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01000.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01100.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01200.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01300.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01400.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01500.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01600.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01700.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01800.py`

Executable scriptline 1
```
Executable file
```

`tests/test_v01900.py`

Executable scriptline 1
```
Executable file
```

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Declared and executed: 3 facts

Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentionscripts/layout_recipes.py:20High confidence
Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentionscripts/palette_forge.py:2255High confidence
Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentionscripts/scaffold_kit.py:131High confidence

Signal confidence: 118 facts

Network access in prose of documentationREADME.md:1Low confidence
Network access in prose of documentationREADME.md:2Low confidence
Network access in prose of documentationREADME.md:15Low confidence
Network access in prose of documentationREADME.md:16Low confidence
Network access in prose of documentationREADME.md:17Low confidence
Network access in prose of documentationREADME.md:18Low confidence
Network access in prose of documentationREADME.md:31Low confidence
Network access in prose of documentationREADME.md:62Low confidence
Network access in prose of documentationREADME.md:139Low confidence
Network access in prose of documentationREADME.md:140Low confidence
Network access in prose of documentationREADME.md:141Low confidence
Network access in prose of documentationREADME.md:142Low confidence
Network access in prose of documentationREADME.md:143Low confidence
Network access in prose of documentationREADME.md:144Low confidence
Network access in prose of documentationREADME.md:145Low confidence
Network access in prose of documentationREADME.md:146Low confidence
Network access in prose of documentationREADME.zh-CN.md:1Low confidence
Network access in prose of documentationREADME.zh-CN.md:2Low confidence
Network access in prose of documentationREADME.zh-CN.md:15Low confidence
Network access in prose of documentationREADME.zh-CN.md:16Low confidence
Network access in prose of documentationREADME.zh-CN.md:17Low confidence
Network access in prose of documentationREADME.zh-CN.md:18Low confidence
Network access in prose of documentationREADME.zh-CN.md:31Low confidence
Network access in prose of documentationREADME.zh-CN.md:62Low confidence
Network access in prose of documentationREADME.zh-CN.md:139Low confidence
Network access in prose of documentationREADME.zh-CN.md:140Low confidence
Network access in prose of documentationREADME.zh-CN.md:141Low confidence
Network access in prose of documentationREADME.zh-CN.md:142Low confidence
Network access in prose of documentationREADME.zh-CN.md:143Low confidence
Network access in prose of documentationREADME.zh-CN.md:144Low confidence
Network access in prose of documentationREADME.zh-CN.md:145Low confidence
Network access in prose of documentationREADME.zh-CN.md:146Low confidence
Network access in prose of documentationassets/fonts/README-OFL.txt:1Low confidence
Network access in prose of documentationassets/fonts/README-OFL.txt:2Low confidence
Network access in prose of documentationassets/fonts/README-OFL.txt:3Low confidence
Network access in code of documentationmcp/README.md:8Low confidence
Network access in code of documentationmcp/README.md:33Low confidence
Network access in code of documentationmcp/README.md:34Low confidence
Network access in code of documentationmcp/README.md:35Low confidence
Executable script in code of a file that runsmcp/server.py:1High confidence
Network access in prose of a file that runsmcp/server.py:5Low confidence
Network access in prose of a file that runsmcp/server.py:6Low confidence
Network access in prose of a file that runsmcp/server.py:7Low confidence
Network access in code of documentationreferences/design-techniques.md:27Low confidence
Network access in code of documentationreferences/design-techniques.md:28Low confidence
Network access in code of documentationreferences/expressive-design.md:36Low confidence
Network access in prose of documentationreferences/harvest-playbook.md:11Low confidence
Network access in prose of documentationreferences/harvest-playbook.md:19Low confidence
Executable script in code of a file that runsscripts/_showcase_scenes.py:1High confidence
Network access in code of a file that runsscripts/_showcase_scenes.py:701High confidence

and 68 more

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

docsor1212/aesthete-agent

History

SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

aesthete-agent

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

README.md

README.zh-CN.md

assets/fonts/README-OFL.txt

docs/demo/showcase.html

docs/index.html

glama.yml

mcp/README.md

mcp/server.py

references/design-techniques.md

references/exemplars/blueprint-dark.html

references/exemplars/dark-four-act-dark.html

references/exemplars/editorial-mag-light.html

references/expressive-design.md

references/harvest-playbook.md

scripts/_showcase_scenes.py

scripts/build_library.py

scripts/chart_kit.py

scripts/color_director.py

scripts/exemplar_kit.py

scripts/font_kit.py

scripts/layout_recipes.py

scripts/lint_page.py

scripts/loop_kit.py

scripts/make_cjk_subset.py

scripts/make_exemplars.py

scripts/make_variants.py

scripts/narrate_kit.py

scripts/page_audit.py

scripts/palette_forge.py

scripts/qc_kit.py

scripts/render_probe.js

scripts/scaffold_kit.py

scripts/scene_kit.py

scripts/token_sheet.py

scripts/type_kit.py

tests/__init__.py

tests/test_v00202.py

tests/test_v00300.py

tests/test_v00400.py

tests/test_v00500.py

tests/test_v00501.py

tests/test_v00600.py

tests/test_v00601.py

tests/test_v00700.py

tests/test_v00800.py

tests/test_v00900.py

tests/test_v01000.py

tests/test_v01100.py

tests/test_v01200.py

tests/test_v01300.py

tests/test_v01400.py

tests/test_v01500.py

tests/test_v01600.py

tests/test_v01700.py

tests/test_v01800.py

tests/test_v01900.py

How the signals fit together

Works with

You might also use

ginader/born-accessible-ui

ckryptickunal/OpenDesigner

fatihaydost/brand-identity-skill

`SKILL.md`

`README.md`

`README.zh-CN.md`

`assets/fonts/README-OFL.txt`

`docs/demo/showcase.html`

`docs/index.html`

`glama.yml`

`mcp/README.md`

`mcp/server.py`

`references/design-techniques.md`

`references/exemplars/blueprint-dark.html`

`references/exemplars/dark-four-act-dark.html`

`references/exemplars/editorial-mag-light.html`

`references/expressive-design.md`

`references/harvest-playbook.md`

`scripts/_showcase_scenes.py`

`scripts/build_library.py`

`scripts/chart_kit.py`

`scripts/color_director.py`

`scripts/exemplar_kit.py`

`scripts/font_kit.py`

`scripts/layout_recipes.py`

`scripts/lint_page.py`

`scripts/loop_kit.py`

`scripts/make_cjk_subset.py`

`scripts/make_exemplars.py`

`scripts/make_variants.py`

`scripts/narrate_kit.py`

`scripts/page_audit.py`

`scripts/palette_forge.py`

`scripts/qc_kit.py`

`scripts/render_probe.js`

`scripts/scaffold_kit.py`

`scripts/scene_kit.py`

`scripts/token_sheet.py`

`scripts/type_kit.py`

`tests/init.py`

`tests/test_v00202.py`

`tests/test_v00300.py`

`tests/test_v00400.py`

`tests/test_v00500.py`

`tests/test_v00501.py`

`tests/test_v00600.py`

`tests/test_v00601.py`

`tests/test_v00700.py`

`tests/test_v00800.py`

`tests/test_v00900.py`

`tests/test_v01000.py`

`tests/test_v01100.py`

`tests/test_v01200.py`

`tests/test_v01300.py`

`tests/test_v01400.py`

`tests/test_v01500.py`

`tests/test_v01600.py`

`tests/test_v01700.py`

`tests/test_v01800.py`

`tests/test_v01900.py`