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Agent Skill · 研究检索

design-structure(设计结构)

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。

design-structure 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 65,612。

总安装 279周安装 12GitHub Stars 1下载 98核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:design-structure(设计结构)
来源仓库:https://github.com/freeacger/loom
仓库路径:skills/design-structure
安装命令:
npx skills add https://github.com/freeacger/loom --skill design-structure
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/freeacger/loom --skill design-structure

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于将模糊想法转化为初步设计结构树,通过交互确认生成稳定设计框架。适合早期概念梳理和产品架构搭建,支持问题定义、范围划定和假设验证。使用时需逐步确认设计目标类型、痛点和边界,输出结构树并归档为权威参考。首次产出后应及时持久化到 docs/design-tree/,后续步骤依赖该结构进行迭代。

design-structure 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/design-structure

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/freeacger/loom --skill design-structure;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

design-structure 怎么安装?

在终端执行 npx skills add https://github.com/freeacger/loom --skill design-structure。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

design-structure 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

design-structure 需要什么权限?

权限级别是接触敏感数据。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。

design-structure 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

design-structure 用的人多吗?

公开数据是累计安装 279 次,近一周安装 12 次,下载 98 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

design-structure 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
design-structure

设计结构 · 本页

2791接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Design Structure

Overview

This skill turns a vague idea into an initial design tree through a two-phase workflow:

  1. Interactive confirmation — progressively confirm design_target_type, problem, scope, and assumptions with the user
  2. Design tree generation — produce the design tree based on confirmed inputs

Its primary output is design_state. When the initial tree first becomes stable enough to reference safely, persist it as the authoritative design artifact in the designated directory docs/design-tree/ before handing off to the next design step.

When to Use

Use this skill when:

  • the user has an idea but not a design
  • the task lacks scope, boundaries, core objects, or key flows
  • there is no clear design tree yet
  • the current design conversation is still at the "what are we even designing?" stage
  • an existing tree is missing design_target_type and needs that field to be made explicit

Do not use this skill when:

  • a workable design tree already exists
  • the main need is deeper decomposition of existing branches
  • the main need is to compare options for one explicit decision node
  • the main need is to decide whether the design is ready for planning
  • the current tree only needs deeper refinement rather than a true derived tree
  • the task is a report, note, summary, or documentation rewrite
  • the task is a simple linear SOP with no real design-state boundary

Language Strategy

Match the design file language to the user's instruction language.

Use this priority order:

  1. An explicit output-language request from the user
  2. The dominant natural language of the user's current instruction
  3. The dominant natural language of the most recent user instructions in the same task
  4. English if the signal is weak or ambiguous

Rules:

  • Keep the chat response, interactive Q&A, and the design file in the same language
  • Translate section headings into the chosen language
  • Keep file paths, code identifiers, template placeholders (e.g., {{...}}), and literal config keys unchanged
  • Do not mix languages unless the user explicitly asks for bilingual output
  • Interactive Q&A in Phase 1 must also match the chosen language

Default heading examples:

If the output language is English:

  • Problem
  • Scope
  • Included / Excluded
  • Assumptions
  • Design Tree
  • Open Branches
  • Decision Nodes
  • Decisions
  • External Dependencies

Workflow

Phase 1: Interactive Confirmation

Confirm the foundation before generating the design tree. Proceed in order:

  1. Design target type — confirm one of system, workflow, methodology, framework
  2. Problem — confirm the core problem and success metrics
  3. Scope — confirm what is included and excluded
  4. Assumptions — confirm implicit assumptions being made

After each confirmation, update the shared design_state. Do not repeat confirmed content in subsequent conversation.

Skip a section only if the user explicitly provides it upfront (e.g., "the problem is X and the scope is Y" — confirm both in one round).

Phase 2: Design Tree Generation

Based on confirmed inputs, generate the design tree using the branch skeleton that matches design_target_type.

Use ../design-tree-core/REFERENCE.md for shared type definitions and REFERENCE.md for preferred local branch skeletons.

If a branch is not relevant, say so explicitly instead of silently omitting it.

In conversation, show only:

  • the tree diagram
  • decision nodes that need user action
  • open branch names
  • next step recommendation

Derived Tree Creation

This skill may also be used to create a derived tree when a parent tree has already identified a new stable problem domain.

Use the shared derivation and handoff rules in ../design-tree-core/REFERENCE.md as the source of truth.

When creating a derived tree, do all of the following:

  1. Name the parent tree and the derived tree explicitly.
  2. State the reason for derivation.
  3. Define what the derived tree owns.
  4. Define what the derived tree does not own.
  5. Record the minimum parent/child handoff:

- branch being extracted - inherited constraints - unresolved questions - expected output - return conditions

Do not copy the parent tree into the derived tree. Do not use derivation as a way to dump overflow detail.

Interactive Q&A

Intent-Driven Strategy

Use whatever interactive question tool is available in the current environment. Do not hardcode tool names — describe the interaction intent and constraints; the model selects the right tool based on its environment.

Constraints (cross-CLI compatible):

  • 1–3 questions per prompt
  • ≤ 4 options per question
  • Structured text (question + optional choices)

Fallback: If no dedicated question tool is available, use natural language prompts (see format templates below).

Question Types and Formats

Confirmation — state understanding, ask to verify
## Problem

Core problem: Build an internal API gateway for unified routing, authentication, and rate limiting.
Success metrics: P99 latency < 50ms, availability > 99.9%

↑ Is this correct? Anything to amend?
Scope — checklist with include/exclude markers
## Scope

My assessment:

Included ✓
- Request routing
- Authentication and authorization
- Rate limiting
- Request logging

Excluded ✗
- Service discovery
- Load balancing

↑ Any adjustments?
Decision — table with star ratings, best option first, max 4 options
## Pending Decision: Auth Mode

| Option | Rating | Pros | Cons |
|--------|--------|------|------|
| JWT (stateless) | ★★★ | Scales horizontally, no server state | Revocation is complex, token size |
| Session (stateful) | ★★ | Instant revocation, mature pattern | Requires shared storage, limited scaling |
| API Key | ★ | Simple to implement | Low security, not suitable for user-level auth |

↑ Which one? Or a different idea?
Supplement — direct question with relaxed prompt
## Supplementary Info

Expected daily request volume?

↑ Please fill in (a rough range is fine if uncertain)

Rules for all types:

  • One question type per message
  • End every question with ↑ marker to signal "your turn"
  • After user confirms, do not repeat the confirmed content (it is already captured in design_state and will be persisted once the tree is stable enough to reference safely)

Persistence

Use REFERENCE.md for the repo-local save and naming contract. This persistence behavior is a repo-local rule for this repository, not a shared default for the design-tree family.

When the tree first reaches a stable-to-reference threshold, save it to the designated directory docs/design-tree/ using the path docs/design-tree/<feature-slug>.md. Mark the saved document status as draft. Do this before handing off to design-refinement or any other next design step.

Design Tree Requirement

Create an initial design tree that:

  • makes design_target_type explicit
  • uses the correct branch skeleton for that target type
  • identifies open branches
  • identifies explicit decision nodes
  • captures assumptions rather than relying on them silently
  • reaches a stable-to-reference threshold before handoff
  • keeps the output as design_state first and the saved artifact as the authoritative persisted record

If a branch is not relevant, say so explicitly instead of silently omitting it.

Core Responsibilities

Your responsibilities are:

  1. Clarify the real goal of the design through interactive confirmation.
  2. Make design_target_type explicit before building the tree.
  3. Capture scope, non-goals, and constraints.
  4. Build an initial design tree with first-level and, where useful, second-level branches.
  5. Identify open branches that still need refinement.
  6. Identify explicit decision nodes that should later go to decision-evaluation.
  7. Record assumptions instead of silently relying on them.
  8. Flag nodes that depend on unverified external tools, APIs, libraries, or services. Perform a lightweight feasibility check (web search or doc lookup) at the time of flagging. If the dependency is clearly infeasible, mark ✗ immediately; if confirmed feasible with open questions, mark [RESEARCH] with initial findings; if fully confirmed, mark ✓.
  9. Persist the design as soon as it first reaches a stable-to-reference threshold into the designated directory docs/design-tree/, and mark the saved document as draft.
  10. If acting on a parent-tree handoff, create a derived tree with explicit parent/child boundaries rather than repeating the parent tree inline.

Expected Outputs

Required Output

Produce or update a design_state that includes:

  • design_target_type
  • problem
  • scope
  • design_tree
  • open_branches
  • decision_nodes
  • external_dependencies
  • status

If the tree being created is a derived tree, also include:

  • parent/child ownership
  • derivation reason
  • parent/child handoff

Conversation Output (concise)

  • Phase 1: one question at a time (see Question Types)
  • Phase 2: tree diagram + decision node summaries + open branch names + saved file path + draft status + next step

You are not expected to fully close every branch.

Diagram Conventions

Render the design tree as a character tree diagram inside a code block (no language tag).

Format:

design_tree
├── 1. Problem definition
│   ├── 1.1 Core problem
│   └── 1.2 Success metrics ✓
├── 2. Core flows [OPEN]
│   ├── 2.1 Happy path
│   └── 2.2 Error path
├── 3. Interfaces and data
│   └── 3.1 API contract [DRAFT]
├── 4. External integrations
│   └── 4.1 Payment SDK [RESEARCH]
└── 5. Decision points
    └── 5.1 Storage choice [DECISION]

Character rules:

  • Branches: ├── (middle), └── (last)
  • Continuation: │ (non-last parent), `` (last parent, 4 spaces)
  • Numbering: 1., 1.1 — required at first two levels
  • Max width: 78 characters

Status markers:

MarkerMeaning
[OPEN]Unresolved, needs refinement or decision
[DECISION]Decision node with multiple real options
[DRAFT]Tentative, may change
[RESEARCH]Depends on an external tool, API, library, or service that has passed initial feasibility check but needs deeper validation
✓Complete / verified
✗Rejected / out of scope

When to render: Always include a tree diagram when the design tree has 3+ branches. Omit only if the design is trivially small (1-2 branches).

Entry and Exit Criteria

Enter when:

  • there is no meaningful design tree yet
  • the request is still mostly unstructured

Exit when:

  • the design tree exists with enough structure for follow-on work
  • the main remaining work is branch refinement or explicit decision analysis

Handoff Rules

  • Persist the tree before any downstream design handoff once it first reaches the stable-to-reference threshold.
  • The first persisted version of the tree must be marked draft.
  • Hand off to design-refinement as the default next step when the main body exists but branches are still too shallow.
  • Hand off to decision-evaluation when there is a concrete decision node with real options.
  • Hand back to design-orchestrator if the design state changed enough that routing should be re-evaluated.
  • Do not continue past Phase 1 if design_target_type is still unresolved.
  • Do not force the conversation into option comparison before the design tree is formed.
  • Do not delay persistence after the stable-to-reference threshold has been reached.

平台分布

Codex

32.7%
按下载量换算32

Claude

30.64%
按下载量换算30

Cursor

17.88%
按下载量换算18

Gemini CLI

9.98%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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