Web Artifacts Builder
anthropics/skills
Builds multi-component claude.ai HTML artifacts as a small React, TypeScript and Tailwind project, then bundles it into one shareable HTML file.
Implements feedback and notification systems including toasts, alerts, modals, progress indicators, and error states.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add ancoleman/ai-design-components --skill providing-feedback -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ancoleman/ai-design-components providing-feedback --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/providing-feedback .claude/skills/providing-feedback && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "providing-feedback" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/providing-feedback into .claude/skills/providing-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "providing-feedback", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ancoleman/ai-design-components/tree/main/skills/providing-feedbackType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ancoleman/ai-design-components --skill providing-feedback -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ancoleman/ai-design-components providing-feedback --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/providing-feedback .agents/skills/providing-feedback && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "providing-feedback" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/providing-feedback into .agents/skills/providing-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "providing-feedback", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ancoleman/ai-design-components --skill providing-feedback -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ancoleman/ai-design-components providing-feedback --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/providing-feedback .cursor/skills/providing-feedback && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "providing-feedback" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/providing-feedback into .cursor/skills/providing-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "providing-feedback", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ancoleman/ai-design-components.git --path skills/providing-feedback--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ancoleman/ai-design-components --skill providing-feedback -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ancoleman/ai-design-components providing-feedback --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/providing-feedback .gemini/skills/providing-feedback && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "providing-feedback" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/providing-feedback into .gemini/skills/providing-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "providing-feedback", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ancoleman/ai-design-components providing-feedbackInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ancoleman/ai-design-components --skill providing-feedback -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/providing-feedback .github/skills/providing-feedback && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "providing-feedback" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/providing-feedback into .github/skills/providing-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "providing-feedback", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ancoleman/ai-design-components --skill providing-feedback -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ancoleman/ai-design-components providing-feedback --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/providing-feedback .opencode/skills/providing-feedback && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "providing-feedback" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/providing-feedback into .opencode/skills/providing-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "providing-feedback", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
providing-feedbackImplements feedback and notification systems including toasts, alerts, modals, progress indicators, and error states.
Providing Feedback is an agent skill from ancoleman/ai-design-components. Implements feedback and notification systems including toasts, alerts, modals, progress indicators, and error states. Use when communicating system state, displaying messages, confirming actions, or showing errors.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including scripts, reference files and assets (for example `assets/error-catalog.json`, `assets/message-templates.json` and `assets/timing-config.json`).
It sits in Frontend & Design. The repository describes itself as: Comprehensive UI/UX and Backend component design skills for AI-assisted development with Claude. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 76551b7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (JavaScript, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
npmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Providing Feedback loads about 2.1k tokens when it runs, and up to ~29k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 729 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
toast.promise(saveData(), {Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from ancoleman/ai-design-components at commit 76551b7, republished under its MIT licence (© ancoleman). 729 words, ~2,109 tokens.
.claude/skills/providing-feedback/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.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.
Activate this skill when:
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| Urgency Level | Component | Duration | Blocks Interaction |
|---|---|---|---|
| Critical | Modal Dialog | Until action | Yes |
| Important | Alert Banner | Until dismissed | No |
| Standard | Toast | 3-7 seconds | No |
| Contextual | Inline Message | Persistent | No |
| Help | Tooltip | On hover | No |
| Progress | Spinner/Bar | During operation | Optional |
Assess the situation using these criteria:
For Toasts/Snackbars:
references/toast-patterns.md for detailed patternsFor Modal Dialogs:
references/modal-patterns.md for implementationFor Progress Indicators:
30s: Progress bar + time estimate + cancel
references/progress-indicators.md for patternsFor Empty States:
references/empty-states.md for designsModern React Stack (Recommended):
npm install sonner @radix-ui/react-dialogFor 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.
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:
See references/accessibility-feedback.md for complete patterns.
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:
Auto-dismiss durations:
Progress indicator thresholds:
30s: Progress bar + cancel option
scripts/generate_toast_manager.js - Generate toast configurations with timing and stackingscripts/format_messages.py - Format user-facing messages based on contextscripts/calculate_timing.js - Calculate auto-dismiss timingsreferences/toast-patterns.md - Toast positioning, stacking, animationsreferences/alert-patterns.md - Alert banner implementationsreferences/modal-patterns.md - Modal dialogs with focus managementreferences/progress-indicators.md - Loading states and progressreferences/empty-states.md - No-data and zero-result patternsreferences/accessibility-feedback.md - ARIA patterns and focus managementreferences/library-comparison.md - Detailed library analysisexamples/success-toast.tsx - Success notification with Sonnerexamples/confirmation-modal.tsx - Delete confirmation with Radix UIexamples/progress-upload.tsx - File upload with progress barexamples/inline-validation.tsx - Form validation errorsassets/message-templates.json - Reusable message templatesassets/error-catalog.json - Error code to message mappingsassets/timing-config.json - Timing recommendationsThis skill enhances all other component skills:
| Library | Type | Size | Best For |
|---|---|---|---|
| Sonner | Toast | Small | Modern React 18+, accessibility |
| react-hot-toast | Toast | <5KB | Minimal bundle size |
| react-toastify | Toast | ~16KB | RTL support, mobile |
| Radix UI | Modal | Small | Design systems, headless |
| Headless UI | Modal | Small | Tailwind projects |
Choose based on project requirements. See references/library-comparison.md for detailed analysis.
© ancoleman, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 18 other files (scripts, references, assets) in skills/providing-feedback of ancoleman/ai-design-components.
Open the folder on GitHubat commit 76551b7
Providing Feedback next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Providing Feedback this skillancoleman/ai-design-components | 526 | — | ~2.1k | Automated safety check: Warn | MIT | |
| Web Artifacts Builderanthropics/skills | 180k | 41 repos | ~769 | Automated safety check: Pass | Apache-2.0 | |
| React Doctormakeplane/plane | 61k | 12 repos | ~657 | Automated safety check: Pass | AGPL-3.0 | |
| Impeccablebestofjs/bestofjs | 3.1k | 27 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Figma Design System Builderwarpdotdev/warp | 65k | 2 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Web Interface Guidelines Reviewervercel-labs/openreview | 1.7k | 98 repos | ~308 | Automated safety check: Pass | None |
anthropics/skills
Builds multi-component claude.ai HTML artifacts as a small React, TypeScript and Tailwind project, then bundles it into one shareable HTML file.
makeplane/plane
Scans React code for lint, accessibility, bundle size and architecture issues, reports a health score and checks that changes do not lower it.
bestofjs/bestofjs
A skill your agent uses when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a…
warpdotdev/warp
Builds or updates a design system in Figma from a codebase in ordered phases: discovery, variables and tokens, components, theming and documentation, with checkpoints.
vercel-labs/openreview
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my…
anonaddy/anonaddy
Always invoke when the user's message includes 'tailwind' in any form.
ancoleman/ai-design-components
Builds AI chat interfaces and conversational UI with streaming responses, context management, and multi-modal support.
ancoleman/ai-design-components
Builds form components and data collection interfaces including contact forms, registration flows, checkout processes, surveys, and settings pages.
ancoleman/ai-design-components
Builds tables and data grids for displaying tabular information, from simple HTML tables to complex enterprise data grids.
ancoleman/ai-design-components
Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts.
ancoleman/ai-design-components
Designs layout systems and responsive interfaces including grid systems, flexbox patterns, sidebar layouts, and responsive breakpoints.
ancoleman/ai-design-components
Displays chronological events and activity through timelines, activity feeds, Gantt charts, and calendar interfaces.
Categories
Implements feedback and notification systems including toasts, alerts, modals, progress indicators, and error states. Providing Feedback is an agent skill from ancoleman/ai-design-components. Implements feedback and notification systems including toasts, alerts, modals, progress indicators, and error states.
Providing Feedback fits situations like: communicating system state; displaying messages; confirming actions.
Run `npx skills add ancoleman/ai-design-components --skill providing-feedback -a claude-code`. Or copy the skill folder (skills/providing-feedback in ancoleman/ai-design-components) into .claude/skills/providing-feedback in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ancoleman/ai-design-components --skill providing-feedback -a codex`. Or copy the skill folder (skills/providing-feedback in ancoleman/ai-design-components) into .agents/skills/providing-feedback in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ancoleman/ai-design-components --skill providing-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/providing-feedback, .gemini/skills/providing-feedback, .github/skills/providing-feedback and .opencode/skills/providing-feedback in your project.
Going by SKILL.md and its folder, Providing Feedback needs JavaScript for the scripts in its folder and the command-line tools its instructions call (npm). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 1 warning(s): mentions a paste, webhook or tunnelling service often used to send data out. Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Providing Feedback is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 27k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Providing Feedback: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 61k stars), Impeccable (bestofjs/bestofjs, 3.1k stars) and Figma Design System Builder (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ancoleman (a GitHub user) maintains it in ancoleman/ai-design-components, which has 526 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on December 11, 2025.
Source: ancoleman/ai-design-components on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.