Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计通过

designkit-skills设计套件技能

Agent Skill

designkit-skills 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

14,423

周安装

595

GitHub Stars

7

下载量

4,712
OpenClaw

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

MIT-0

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:designkit-skills(设计套件技能)
来源仓库:https://github.com/meituskills/designkit-skills
安装命令:
openclaw skills install designkit-skills
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install designkit-skills

简介

用于查找、检索和筛选相关信息。designkit-skills 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合在 OpenClaw 中根据关键词或任务场景快速定位候选结果。
  • 可处理 DesignKit 图像编辑或电子商务产品图像生成。
  • 使用时需结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态,注意可能触发联网或文件操作。

SKILL.md

name
designkit-skills
description
Use when users need DesignKit image editing or ecommerce product-image generation, with public metadata optimized for ClawHub and runtime guidance defaulting to Simplified Chinese.
version
1.0.0
metadata
openclaw
requires
env
bins
primaryEnv
DESIGNKIT_OPENCLAW_AK
homepage
https://www.designkit.cn/openclaw

DesignKit Skills

Public ClawHub bundle for DesignKit image editing and ecommerce product-image workflows. 实际运行时默认面向中文用户,用简体中文收集参数、确认操作并返回结果。

Purpose

  • Route to designkit-edit-tools for single-image background removal or image restoration.
  • Route to designkit-ecommerce-product-kit for multi-step ecommerce product-image generation.
  • Keep the public package description English-friendly for ClawHub, while keeping the actual user conversation natural in Simplified Chinese.

Public Installation Posture

  • Explain actions in product terms such as background removal, image restoration, or ecommerce image generation.
  • Default user-facing replies to Simplified Chinese unless the user explicitly prefers another language.
  • Only process image URLs or local file paths that the user explicitly provides for the requested task.
  • If the user supplies a local image path, make clear that the file will be uploaded to the remote DesignKit / OpenClaw service.
  • Do not expose credentials, raw request or response payloads, internal headers, or local script paths unless the user explicitly asks for technical details.

Routing Rules

1. designkit-edit-tools

Route here when user intent matches:

  • Background removal, cutout, transparent background, white background
  • Image restoration, blurry photo fix, image enhancement, sharpening

Common search terms: 抠图, 去背景, 透明底, 白底图, 画质修复, 变清晰, image restoration, background removal

2. designkit-ecommerce-product-kit

Route here when user intent matches:

  • Ecommerce listing image sets
  • Product hero images and detail images
  • Launch-ready marketplace image packs from an existing product photo

Common search terms: 电商套图, 商品套图, 主图详情图, listing images, amazon listing images, product image set

If the request is ambiguous, ask one short clarification question before routing.

Conversation Flow (Required)

  1. Recognize the user intent and route to the matching sub-skill.
  2. Ask for the missing image first if the user has not already provided one.
  3. Ask only the 1-2 most important missing inputs in each turn. Do not turn the conversation into a long form.
  4. Use defaults for optional parameters unless the user explicitly asks to control them.
  5. Once enough information is available, briefly restate the action in Chinese and execute it directly.

Execution

For single-image editing:

bash __SKILL_DIR__/scripts/run_command.sh <action> --input-json '<params_json>'

For ecommerce listing images:

  1. Read __SKILL_DIR__/skills/designkit-ecommerce-product-kit/SKILL.md.
  2. Follow its staged conversation flow exactly.
  3. Execute run_ecommerce_kit.sh only after the staged inputs are complete.

These commands are internal execution guidance for the agent. Do not quote command lines to end users unless they explicitly ask for implementation details.

Runtime And Safety

  • Requires DESIGNKIT_OPENCLAW_AK.
  • Local file uploads are limited to JPG/JPEG/PNG/WEBP/GIF image files.
  • Local images supplied by the user may be uploaded to the remote DesignKit / OpenClaw API.
  • Ecommerce renders are downloaded back to a local output directory after completion.
  • Request logging is off by default. Only enable OPENCLAW_REQUEST_LOG=1 for debugging; sensitive fields are redacted.
  • Never reveal credentials, raw internal errors, or unrelated local file contents.

Result Handling

  • If the script returns ok: true, render the returned image URLs for the user.
  • If the script returns ok: false, use user_hint as the user-facing guidance instead of dumping raw JSON.

Privacy Defaults

  • Request logging is disabled by default.
  • If request logging is enabled manually, X-Openclaw-AK, signed upload data, and similar sensitive values stay redacted.
  • Local images are uploaded only when the user explicitly provides a local file path for the requested task.
  • The default runtime conversation language is Simplified Chinese.

Error Types

error_typeGuidance
CREDENTIALS_MISSINGAsk the user to configure DESIGNKIT_OPENCLAW_AK
AUTH_ERRORAsk the user to verify the API key
ORDER_REQUIREDTell the user to top up credits before retrying
QPS_LIMITTell the user to retry later
TEMPORARY_UNAVAILABLETell the user the service is temporarily unavailable
PARAM_ERRORAsk the user to provide or correct the missing input
UPLOAD_ERRORAsk the user to check the image or network
API_ERRORAsk the user to retry or use a different image

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

81.43%
按下载量换算3,837

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。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

继续浏览同类 Skills