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Agent Skill · 研究检索

providing-feedback(提供反馈)

providing-feedback 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

providing-feedback 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,权限为只读;许可证为 MIT,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 47,712。

总安装 722周安装 31GitHub Stars 350下载 253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
MIT

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:providing-feedback(提供反馈)
来源仓库:https://github.com/ancoleman/ai-design-components
仓库路径:skills/providing-feedback
安装命令:
npx skills add https://github.com/ancoleman/ai-design-components --skill providing-feedback
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/ancoleman/ai-design-components --skill providing-feedback

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。

providing-feedback 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定仓库安装,需结合原始 README 核验具体用法。

安装前建议确认权限范围、维护状态及是否会触发联网、命令执行或文件读写。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/providing-feedback

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/ancoleman/ai-design-components --skill providi…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

providing-feedback 怎么安装?

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

providing-feedback 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。

providing-feedback 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

providing-feedback 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

providing-feedback 用的人多吗?

公开数据是累计安装 722 次,近一周安装 31 次,下载 253 次,GitHub 350 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。

providing-feedback 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
providing-feedback

提供反馈 · 本页

722350只读MIT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

Providing User Feedback and Notifications

This skill implements comprehensive feedback and notification systems that enhance all other component skills by providing consistent patterns for communicating system state, displaying messages, and handling user confirmations.

When to Use This Skill

Activate this skill when:

  • Implementing toast notifications or snackbars
  • Displaying success, error, warning, or info messages
  • Creating modal dialogs or confirmation dialogs
  • Implementing progress indicators (spinners, progress bars, skeleton screens)
  • Designing empty states or zero-result displays
  • Adding tooltips or contextual help
  • Determining notification timing, stacking, or positioning
  • Implementing accessible feedback patterns with ARIA
  • Communicating any system state to users

Feedback Type Decision Matrix

Choose the appropriate feedback mechanism based on urgency and attention requirements:

Critical + Blocking       → Modal Dialog
Important + Non-blocking  → Alert Banner
Success/Info + Temporary  → Toast/Snackbar
Contextual Help          → Tooltip/Popover
In-progress              → Progress Indicator
No Data                  → Empty State

Quick Reference by Urgency

Urgency LevelComponentDurationBlocks Interaction
CriticalModal DialogUntil actionYes
ImportantAlert BannerUntil dismissedNo
StandardToast3-7 secondsNo
ContextualInline MessagePersistentNo
HelpTooltipOn hoverNo
ProgressSpinner/BarDuring operationOptional

Implementation Approach

Step 1: Determine Feedback Type

Assess the situation using these criteria:

  1. Urgency: How critical is the information?
  2. Duration: How long should it persist?
  3. Action Required: Does user need to respond?
  4. Context: Is it related to specific UI element?

Step 2: Choose Implementation Pattern

For Toasts/Snackbars:

  • Position: Bottom-right (recommended)
  • Duration: 3-4s (success), 5-7s (warning), 7-10s (error)
  • Stack limit: 3-5 maximum
  • See references/toast-patterns.md for detailed patterns

For Modal Dialogs:

  • Focus management: Trap focus within modal
  • Accessibility: ESC to close, proper ARIA labels
  • Backdrop: Click outside to close (optional)
  • See references/modal-patterns.md for implementation

For Progress Indicators:

  • <100ms: No indicator needed
  • 100ms-5s: Spinner with message
  • 5s-30s: Progress bar (determinate if possible)
  • 30s: Progress bar + time estimate + cancel
  • See references/progress-indicators.md for patterns

For Empty States:

  • Include: Illustration, headline, body text, CTA
  • Types: First use, zero results, error, permission denied
  • See references/empty-states.md for designs

Step 3: Implement with Recommended Libraries

Modern React Stack (Recommended):

npm install sonner @radix-ui/react-dialog

For Toasts - Use Sonner:

import { Toaster, toast } from 'sonner';

// In your app root
<Toaster position="bottom-right" />

// Trigger notifications
toast.success('Changes saved successfully');
toast.promise(saveData(), {
  loading: 'Saving...',
  success: 'Saved!',
  error: 'Failed to save'
});

For Modals - Use Radix UI:

import * as Dialog from '@radix-ui/react-dialog';

<Dialog.Root>
  <Dialog.Trigger>Open</Dialog.Trigger>
  <Dialog.Portal>
    <Dialog.Overlay />
    <Dialog.Content>
      <Dialog.Title>Confirm Action</Dialog.Title>
      <Dialog.Description>Are you sure?</Dialog.Description>
      <Dialog.Close>Cancel</Dialog.Close>
    </Dialog.Content>
  </Dialog.Portal>
</Dialog.Root>

See references/library-comparison.md for alternative libraries and selection criteria.

Step 4: Apply Accessibility Patterns

ARIA Live Regions for Announcements:

<!-- For non-critical notifications -->
<div role="status" aria-live="polite">
  File uploaded successfully
</div>

<!-- For critical alerts -->
<div role="alert" aria-live="assertive">
  Error: Failed to save
</div>

Focus Management for Modals:

  1. Save current focus before opening
  2. Move focus to first interactive element in modal
  3. Trap focus within modal (Tab cycles)
  4. Restore focus to trigger on close

See references/accessibility-feedback.md for complete patterns.

Step 5: Integrate Design Tokens

All feedback components use the design-tokens skill for consistent theming:

/* Example token usage */
.toast {
  background: var(--toast-bg);
  color: var(--toast-text);
  padding: var(--toast-padding);
  border-radius: var(--toast-border-radius);
  box-shadow: var(--toast-shadow);
  animation-duration: var(--toast-enter-duration);
}

Token categories used:

  • Colors: Toast, alert, modal, tooltip backgrounds
  • Spacing: Internal padding for all components
  • Typography: Font sizes for titles and messages
  • Shadows: Elevation for floating elements
  • Motion: Animation durations and easing

Notification Timing Guidelines

Auto-dismiss durations:

  • Success: 3-4 seconds
  • Info: 4-5 seconds
  • Warning: 5-7 seconds
  • Error: 7-10 seconds or manual dismiss
  • With action button: 10+ seconds or no auto-dismiss

Progress indicator thresholds:

  • <100ms: No indicator
  • 100ms-5s: Spinner
  • 5s-30s: Progress bar
  • 30s: Progress bar + cancel option

Resources

Scripts (Token-Free Execution)

  • scripts/generate_toast_manager.js - Generate toast configurations with timing and stacking
  • scripts/format_messages.py - Format user-facing messages based on context
  • scripts/calculate_timing.js - Calculate auto-dismiss timings

References (Detailed Documentation)

  • references/toast-patterns.md - Toast positioning, stacking, animations
  • references/alert-patterns.md - Alert banner implementations
  • references/modal-patterns.md - Modal dialogs with focus management
  • references/progress-indicators.md - Loading states and progress
  • references/empty-states.md - No-data and zero-result patterns
  • references/accessibility-feedback.md - ARIA patterns and focus management
  • references/library-comparison.md - Detailed library analysis

Examples (Implementation Code)

  • examples/success-toast.tsx - Success notification with Sonner
  • examples/confirmation-modal.tsx - Delete confirmation with Radix UI
  • examples/progress-upload.tsx - File upload with progress bar
  • examples/inline-validation.tsx - Form validation errors

Assets (Templates and Configs)

  • assets/message-templates.json - Reusable message templates
  • assets/error-catalog.json - Error code to message mappings
  • assets/timing-config.json - Timing recommendations

Cross-Skill Integration

This skill enhances all other component skills:

  • Forms: Validation feedback, success confirmations
  • Data Visualization: Loading states, error messages
  • Tables: Bulk operation feedback, action confirmations
  • AI Chat: Streaming indicators, rate limit warnings
  • Dashboards: Widget loading, system status
  • Search/Filter: Zero results, search progress
  • Media: Upload progress, processing status
  • Design Tokens: All visual styling via token system

Library Quick Comparison

LibraryTypeSizeBest For
SonnerToastSmallModern React 18+, accessibility
react-hot-toastToast<5KBMinimal bundle size
react-toastifyToast~16KBRTL support, mobile
Radix UIModalSmallDesign systems, headless
Headless UIModalSmallTailwind projects

Choose based on project requirements. See references/library-comparison.md for detailed analysis.

Key Principles

  1. Match urgency to attention: Don't use modals for non-critical info
  2. Be consistent: Same feedback type for similar actions
  3. Provide context: Explain what happened and what to do
  4. Enable recovery: Include undo, retry, or help options
  5. Respect preferences: Honor reduced motion settings
  6. Test accessibility: Verify with screen readers and keyboard

平台分布

github-copilot

28.99%
按下载量换算73

OpenCode

22.17%
按下载量换算56

Gemini CLI

17.9%
按下载量换算45

kilo

12.23%
按下载量换算31

Antigravity

7.34%
按下载量换算19

Claude Code

2.91%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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