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1
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在 OpenClaw 中安装
/install design
功能描述
Auto-learns your visual preferences. Adapts to UI, graphics, video, and any creative work.
使用说明 (SKILL.md)
Auto-Adaptive Design Preferences
This skill auto-evolves. Edit sections below as you learn user's visual taste.
Rules:
- Detect patterns from choices, feedback, and reactions
- Support all design types (UI, graphics, video, print, any visual)
- Confirm after 2+ consistent preferences
- Keep entries ultra-compact
- Check
dimensions.mdfor categories,criteria.mdfor format
Aesthetic
\x3C!-- General visual taste. Format: "trait" -->
By Medium
\x3C!-- Different preferences by type. Format: "medium: traits" -->
Brands
\x3C!-- Named projects/brands with distinct styles. Format: "name: traits" -->
Never
\x3C!-- Things user rejected or dislikes visually -->
Empty sections = no preference yet. Observe and fill.
安全使用建议
This skill appears internally consistent for learning design preferences and asks for nothing sensitive, but take these precautions before installing: 1) Note the package has no source/homepage — provenance is unknown; prefer skills with identifiable authors. 2) Confirm where learned preferences will be stored and whether the agent has permission to modify SKILL.md or other files; restrict write permissions if you want to prevent persistent changes. 3) If you do not want the skill to adapt autonomously, disable autonomous invocation or monitor changes/logs. 4) Avoid sending private credentials or sensitive images to the skill; it is intended to learn from conversational feedback and examples only. If you want higher assurance, ask the publisher for a repo or contact information before use.
功能分析
Type: OpenClaw Skill
Name: design
Version: 1.0.0
The OpenClaw skill bundle is designed to auto-learn user design preferences by instructing the AI agent to read `criteria.md` and `dimensions.md` for guidelines and then update/edit its own `SKILL.md` file. This behavior, including file read/write within its own skill bundle, is consistent with the stated purpose of an 'auto-evolving' skill. There is no evidence of malicious intent such as data exfiltration, unauthorized command execution, persistence mechanisms, or prompt injection aiming to subvert the agent for harmful actions. All instructions and content are focused on the skill's stated functionality.
能力评估
Purpose & Capability
Name and description (auto-learns visual preferences) align with what the skill actually contains: instruction-only guidance and two reference files. There are no unrelated env vars, binaries, or install steps requested that would be out of scope for a design-preferences assistant.
Instruction Scope
SKILL.md stays within the domain of observing user choices/feedback and updating a compact preferences file; it references only bundled docs (dimensions.md, criteria.md). It is vague about the exact data sources ('choices, feedback, and reactions') and where/when updates are written, which could lead to broader data collection depending on how the agent implements 'observe and fill'. It does not instruct reading system config, secrets, or contacting external endpoints.
Install Mechanism
No install spec and no code files — lowest-risk pattern. Nothing is downloaded or written as part of an install step according to the manifest.
Credentials
The skill requests no environment variables, credentials, or config paths. There are no disproportionate secret requirements relative to its stated purpose.
Persistence & Privilege
The instructions imply updating SKILL.md (or storing compact preference entries). That is reasonable for a personalization skill but does require write access to the agent's skill files or storage. always is false (not forced into every run), but autonomous invocation is allowed by default — combined with write capability this could let the skill adapt without frequent explicit consent. Also, the skill lacks author/homepage metadata, increasing provenance risk.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install design - 安装完成后,直接呼叫该 Skill 的名称或使用
/design触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release - Auto-adaptive design preferences
元数据
常见问题
Design 是什么?
Auto-learns your visual preferences. Adapts to UI, graphics, video, and any creative work. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2053 次。
如何安装 Design?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install design」即可一键安装,无需额外配置。
Design 是免费的吗?
是的,Design 完全免费(开源免费),可自由下载、安装和使用。
Design 支持哪些平台?
Design 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Design?
由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。
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