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providing-feedback

providing-feedback is a skill for Claude Code from ancoleman/ai-design-components. It costs 42 tokens per session (1,938 once invoked), scanned A, original, MIT.

A guide for showing users what an application is doing through messages, alerts, dialogs, progress indicators, empty states, and contextual help.

In plain words
What is it for?
Use it to design toasts, banners, confirmation modals, spinners, progress bars, skeleton screens, tooltips, and accessible error or empty states.
Why use it?
It helps users understand success, errors, warnings, confirmations, loading, and missing data instead of guessing whether an action worked.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ui-interaction-skills plugin — 3 skills shipped together

not rated 518repo +1 8mo ago A scan 42 tokens original MIT

Good fit Use it to design toasts, banners, confirmation modals, spinners, progress bars, skeleton…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ancoleman/ai-design-components/providing-feedback
View source ↗ ancoleman/ai-design-components
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ancoleman/ai-design-components --skill providing-feedback
Clone the repo
git clone --depth 1 https://github.com/ancoleman/ai-design-components

Made for: Claude Code.

Or install ui-interaction-skills, the plugin that ships this one along with the rest of its 3 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for providing-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/ancoleman/ai-design-components/providing-feedback.svg)](https://agentmods.dev/skills/ancoleman/ai-design-components/providing-feedback)
Your own site
<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/providing-feedback"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/providing-feedback.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,938 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.01938
Opus 5 $0.00021 $0.00969
Sonnet 5 $0.00008 $0.00388
Haiku 4.5 $0.00004 $0.00194

Measured 7d ago against content hash 6cd76ae13a70, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

providing-feedback scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/calculate_timing.js, scripts/format_messages.py, scripts/generate_toast_manager.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/providing-feedback/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 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

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

Read the full file on GitHub · 245 lines

Files

What ships with it

18 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 245 lines · 42 tokens per session scan A 6cd76ae13a70

Subscribe to this mod's changes

providing-feedback is a skill published in the GitHub repository ancoleman/ai-design-components (518 stars, last pushed 8mo ago), licensed MIT. It adds 42 tokens to every session and 1,938 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude CodeDesign and UXFrontendai-designanthropicclaudeclaude-skillsdesign-system
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