Implementing Drag Drop
ListedThis skill enables users to easily create interactive drag-and-drop interfaces within their projects for intuitive user experiences and improved engagement.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add ancoleman/ai-design-components --skill implementing-drag-drop -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
ancoleman
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: ui-avatars.com, webaim.org.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
ui-avatars.comundeclaredwww.w3.orgstandardswebaim.orgundeclaredWhat it found
- skills/implementing-drag-drop/examples/kanban-board.tsx:83contacts ui-avatars.com
src={`https://ui-avatars.com/api/?name=${task.assignee}&size=24`} - skills/implementing-drag-drop/scripts/validate_accessibility.js:343contacts webaim.org
output += ' • Screen Reader Testing: https://webaim.org/articles/screenreader_testing/\n';
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
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No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned ancoleman/ai-design-components at 76551b7b19.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 76551b7b19
- Scanned
- 19 files, 9,396 lines
About this skill
What it does
This skill enables AI agents to generate code for drag-and-drop interfaces, allowing users to interactively move elements within a web application. It simplifies the creation of interactive UI components like kanban boards, sortable lists, and customizable dashboards without requiring manual event handling logic.
When to use it
- Building task management tools where users need to reorder items between columns.
- Creating educational platforms that allow learners to arrange concepts or flashcards.
- Developing e-commerce sites with product configurators or customizable layout sections.
- Prototyping rapid user testing interfaces where flow changes dynamically based on input.
Key capabilities
- Generates drag-and-drop functionality using popular libraries like
react-dnd,dnd-kit, or native HTML5 APIs. - Supports touch and mouse interactions for cross-device compatibility.
- Handles drop zones, ghost images during dragging, and visual feedback states.
- Manages complex data structures by updating underlying state when items are moved.
Example prompts
"Create a React component with a drag-and-drop Kanban board using dnd-kit."
"Build an HTML5 drag-and-drop list where users can reorder tasks and save the new order to local storage."
"Generate a Vue.js interface for arranging UI widgets on a dashboard canvas with snap-to-grid behavior."
Tips & gotchas
Ensure your AI agent specifies the target framework (e.g., React, Vue) and preferred library to avoid generic or incompatible code. Drag-and-drop performance can degrade with large datasets; limit initial item counts or implement virtualization for optimal responsiveness.