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Agent Skill · 研究检索

design-refinement(设计细化)

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-refinement 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,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 64,557。

总安装 297周安装 12GitHub Stars 1下载 93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-refinement(设计细化)
来源仓库:https://github.com/freeacger/loom
仓库路径:skills/design-refinement
安装命令:
npx skills add https://github.com/freeacger/loom --skill design-refinement
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-refinement

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。

将模糊的设计分支深化为具体可实现的细节节点,增强边界与失败处理逻辑。适合已有设计树但缺乏接口定义或验证细节的情况,推动向实施靠拢。重点在于增加约束、明确行为与补充异常路径,而非推翻原有结构。安装需通过 npx 添加指定 GitHub 仓库,适用于设计细化迭代阶段。

design-refinement 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-refinement

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-refinement;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

    它需要执行命令,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-refinement 怎么安装?

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

design-refinement 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-refinement 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/freeacger/loom --skill design-refinement 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

design-refinement 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-refinement 用的人多吗?

公开数据是累计安装 297 次,近一周安装 12 次,下载 93 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-refinement 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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-refinement

设计细化 · 本页

2971执行命令未明确通过

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 Refinement

Overview

This skill deepens an existing design tree.

Its job is to take major branches that are still vague and push them toward implementable leaf nodes. It should make the design more specific, more bounded, and harder to misread during implementation.

When to Use

Use this skill when:

  • the design tree already exists
  • the design is still too high-level to guide implementation planning
  • important branches lack interfaces, boundaries, failure behavior, or validation detail
  • the user asks to make the design more concrete, more detailed, or more complete

Do not use this skill when:

  • there is no design tree yet
  • the main problem is a single bounded decision with multiple options
  • the main question is whether the current design is ready for planning
  • design_target_type is missing from the current design state
  • the task is really a report, note, or SOP draft

Required Input

Do not continue refinement without an explicit design_target_type.

If the design state is missing that field:

  • stop refinement
  • do not silently assume system
  • hand back to design-orchestrator or design-structure so the type can be set explicitly

Leaf Node Standard

Use the target-type-specific completion standard from ../design-tree-core/REFERENCE.md.

In summary:

  • system: responsibility, non-responsibility, adjacent interaction, failure, validation
  • workflow: stage goal, input/output, owner, rollback, quality gate
  • methodology: applicability, non-applicability, decision rules, handoff form, exit condition
  • framework: dimension or module, non-ownership, routing rule, handoff form, completion rule

If those answers are still missing for the current target type, the branch is not done.

Refinement vs Derivation Boundary

Refinement should continue only while a branch remains part of the current tree's original core question.

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

Stop refining inline when a branch begins to show all of the following:

  • it is answering a second distinct core question
  • it requires repeated local routing decisions of its own
  • it needs its own scope boundary
  • it needs its own completion check
  • continuing inline refinement would make the parent tree harder to route

When those conditions appear:

  • do not keep expanding the branch inline
  • surface the branch as a candidate for derivation
  • hand back to design-orchestrator or design-structure for explicit derived-tree creation

Core Responsibilities

Your responsibilities are:

  1. Walk unresolved design branches one at a time.
  2. Prioritize high-risk, high-dependency, or high-ambiguity branches first.
  3. Expand branches into concrete sub-branches and leaf nodes using the current design_target_type.
  4. Surface hidden assumptions and edge cases.
  5. Add failure-path and validation detail where missing.
  6. Explicitly mark newly discovered decision nodes instead of pretending they are settled.
  7. Resolve [RESEARCH] nodes by performing deep validation of external dependencies (API compatibility, version constraints, integration patterns, error handling, rate limits). Replace [RESEARCH] with ✓ when validated, ✗ when rejected, or [DECISION] if alternatives need evaluation. If validation cannot be completed in the current context, document what was learned and retain [RESEARCH].

Expected Outputs

Produce or update a design_state that includes:

  • design_target_type
  • refined design_tree branches
  • updated open_branches
  • confirmed_assumptions
  • risks
  • validation
  • updated external_dependencies if any [RESEARCH] nodes were resolved
  • new decision_nodes if discovered

Diagram Conventions

Use character diagrams inside code blocks (no language tag) to visualize component interactions, failure paths, and state transitions.

Sequence Diagrams

Use when a leaf node describes "how it interacts with adjacent parts" and involves 3+ components.

Client          API Server      Auth Service     DB
  │                │                │             │
  │── request ────→│                │             │
  │                │── verify ────→│             │
  │                │←── ok ────────│             │
  │                │── insert ─────────────────→│
  │←── response ───│                │             │

Rules:

  • Three-column maximum; split into two diagrams if more participants
  • Lifelines use │; messages use ──→ (right) or ←── (left)
  • Labels sit on the arrow line: ── label ──→
  • Participant names ≤20 chars, left-aligned at top
  • Omit ACK returns unless they carry meaningful data

Data Flow Diagrams

Use when showing data pipelines or transformation chains.

Source
    │
    ▼
Transform ──── enrich ────→ Enrichment
    │                            │
    ▼                            ▼
Sink A                     Cache Store
  • Components as plain text (no brackets)
  • Vertical: │ and ▼; horizontal: ──→; return: ◄────

State Machine Diagrams

Use when a component has 3+ states with transitions.

┌──────────┐     approve     ┌───────────┐
│ Pending  │───────────────→│ Approved  │
└──────────┘                 └───────────┘
     │                            │
     │ timeout               │ start
     ▼                            ▼
┌──────────┐             ┌──────────┐     ok     ┌───────────┐
│ Expired  │             │ Running  │───────────→│ Succeeded │
└──────────┘             └──────────┘             └───────────┘
  • State boxes use ┌ ┐ └ ┘ ─ │
  • Transitions: ──→ with label above/below
  • Terminal states can include ✓ or ✗

When to Add Diagrams

  • Sequence: 3+ components exchanging messages
  • Data flow: pipeline with 3+ stages or branching paths
  • State machine: a component has 3+ states with transitions
  • Do NOT add a diagram for 2-node linear flows — use a numbered list instead
  • Max width: 78 characters

Entry and Exit Criteria

Enter when:

  • a design tree already exists
  • important branches remain vague or incomplete

Exit when:

  • key branches have been refined to implementation-ready leaves
  • the remaining work is mainly decision evaluation or readiness checking

Handoff Rules

  • Hand off to decision-evaluation when you surface a clear decision node with multiple real options.
  • Hand off to design-readiness-check when key branches are closed and the main question becomes readiness.
  • Hand back to design-structure if the design tree itself is missing a foundational branch.
  • Hand back to design-orchestrator or design-structure immediately if design_target_type is missing.
  • Do not invent fake option comparisons just to make progress.
  • Do not use refinement to absorb a branch that should become a derived tree.
  • Do not force workflow, methodology, or framework branches into system-shaped leaves.

平台分布

Codex

38.26%
按下载量换算36

Claude

32.08%
按下载量换算30

Cursor

17.54%
按下载量换算16

Gemini CLI

9.01%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/freeacger/loom --skill design-refinement 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

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