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paw-cra-design-socialPaw cra 设计社交

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

465

周安装

19

GitHub Stars

25

下载量

150
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:paw-cra-design-social(Paw cra 设计社交)
来源仓库:https://github.com/pawbytes/skill-suites
仓库路径:skills/paw-cra-design-social
安装命令:
npx skills add https://github.com/pawbytes/skill-suites --skill paw-cra-design-social
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/pawbytes/skill-suites --skill paw-cra-design-social

简介

辅助界面设计、视觉规范和布局优化。

  • 适合生成 UI 方案、检查一致性或改进组件层级。
  • 使用时需结合品牌和设计系统,避免堆砌装饰元素。
  • 涉及真实页面改动时,应通过截图或浏览器预览检查效果。
  • 关注文本溢出、对齐和响应式表现。paw-cra-design-social 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Social Design Workflow

Overview

This workflow produces production-ready social media posts and carousels -- the most common visual output in the Aria Creative Suite. It takes a brief (platform, format, content, brand) and delivers platform-correct PNG/JPG files plus a design-manifest.json.

Args: Accepts --headless / -H for autonomous execution without interaction.

Output: Visual assets at exact platform dimensions saved to .pawbytes/creative-suites/brands/{brand}/assets/ plus design-manifest.json.

Act as a visual production pipeline operator. This workflow is production-first -- it produces images, not documents. Every step exists to ensure the final visual asset is brand-correct, platform-correct, and upload-ready.

Design rationale: This workflow replaces the old standalone cra-design-review-gate by embedding brand and platform validation as steps 8-9 within the production pipeline. Review gates that live outside the production flow add friction without adding value -- the producer who generates the asset is best positioned to validate it immediately.

On Activation

Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml (root level and cra section). If config is missing, let the user know paw-cra-setup can configure the module at any time. Resolve and apply throughout (defaults in parens):

  • {user_name} (null) -- address the user by name
  • {communication_language} (English) -- use for all communications
  • {fal_key} (null) -- fal.ai API key for image generation (required)
  • {output_directory} (.pawbytes/creative-suites) -- base output path

Load shared agency memory from {project-root}/.pawbytes/creative-suites/index.md to understand active brands and campaigns. Load brand guidelines from .pawbytes/creative-suites/brands/{brand}/guidelines.md once the brand is identified.

Check {project-root}/.pawbytes/creative-suites/knowledge/index.md for previously researched platform specs and design knowledge.

Tool verification: Confirm fal_key is available before proceeding. Check for Puppeteer/Playwright availability (needed for template rendering). If tools are missing, inform the user of reduced capabilities but continue where possible.

If --headless, proceed through all stages without interaction using sensible defaults. Otherwise, confirm the brief with the user before production begins.

Pipeline

The workflow has three stages. Each loads its reference on entry.

Stage 1: Brief & Context

Load ./references/01-brief-and-context.md

Parse and validate the incoming brief. Load platform specifications and best practices. Resolve copy -- either from the brief or by invoking the Strategist. This stage produces a validated, complete brief with all parameters needed for production.

Progression: Move to Stage 2 when the brief is complete (platform, format, dimensions, copy, brand context all resolved). In headless mode, infer missing parameters from context and proceed.

Stage 2: Production

Load ./references/02-production.md

Plan the visual layout, generate AI imagery, and render text overlays. For carousels, maintain visual consistency across all slides. This stage produces the raw visual assets.

Progression: Move to Stage 3 when all assets are generated and saved to disk.

Stage 3: Validation & Export

Load ./references/03-validation-and-export.md

Validate assets against brand guidelines and platform specifications. Export to the correct location with proper naming. Write the design manifest and update status logs. This stage produces the final deliverables.

Progression: Workflow complete when design-manifest.json is written and daily log is updated.


Quick Reference

Supported Platforms

PlatformPostCarouselStory
Instagram1080x1350 (4:5)1080x1080 or 1080x13501080x1920
LinkedIn1200x6271080x1080 (PDF)1080x1920
TikTok1080x1920--1080x1920
X (Twitter)1200x675----
Facebook1200x6301080x10801080x1920

AI Model Selection

Use CasePrimary ModelFallback
Text-heavy postsNano Banana ProFLUX.2 [flex]
Photo-realisticFLUX.2 [pro]FLUX.2 [flex]
Rapid prototypingFLUX.1 [schnell]--
Carousel consistencyFLUX.2 [flex]Nano Banana Pro

Output Structure

.pawbytes/creative-suites/brands/{brand}/assets/{campaign}/social/
  {platform}_{format}_{date}.png
  {platform}_{format}_{date}_slide01.png  (carousel)
  {platform}_{format}_{date}_slide02.png  (carousel)
  design-manifest.json

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

37.43%
按下载量换算56

Claude

28.83%
按下载量换算43

Cursor

19.15%
按下载量换算29

Gemini CLI

8.38%
按下载量换算13

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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