ant-design

ant-design is a skill for Claude Code from oyi77/1ai-skills. It costs 33 tokens per session (1,408 once invoked), scanned A, original, MIT.

A React component library for building business interfaces such as admin panels, forms, tables, charts, and content-management screens.

In plain words
What is it for?
Use it to build data-heavy React applications, validated forms, sortable and filterable tables, dashboards, and themed enterprise interfaces.
Why use it?
It provides a shared set of interface parts and rules, reducing the need to design and implement common controls from scratch.

Skill for Claude Code

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

Part of the 1ai-skills plugin — 216 skills, 4 commands shipped together

Good fit Use it to build data-heavy React applications, validated forms, sortable and filterable tables, dashboards, and themed enterprise interfaces.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oyi77/1ai-skills/ant-design
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 oyi77/1ai-skills --skill ant-design
Clone the repo
git clone --depth 1 https://github.com/oyi77/1ai-skills

Made for: Claude Code.

Or install 1ai-skills, the plugin that ships this one along with the rest of its 216 skills, 4 commands.

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 ant-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/oyi77/1ai-skills/ant-design/github.svg)](https://agentmods.dev/skills/oyi77/1ai-skills/ant-design)
Your own site
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/ant-design"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/ant-design/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ant-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/ant-design"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/ant-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,408 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00033 $0.01408
Opus 5.5 $0.00013 $0.00563
Sonnet 5.5 $0.00007 $0.00282
Haiku 4.5 $0.00003 $0.00141

Measured 1mo ago against content hash f8d28f23b8dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ant-design 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 1mo ago.

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.

content/ant-design/SKILL.md · 217 lines

How it starts

The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Ant Design is an enterprise-grade React UI library with 60+ components, a design system, and ProComponents for advanced business scenarios. Widely used for admin dashboards, CMS, and data-heavy applications.

Capabilities

  • 60+ polished components with consistent design language
  • ConfigProvider for global theming (colors, locale, prefixCls)
  • Form component with validation, dependencies, dynamic fields
  • Table with sorting, filtering, pagination, virtual scroll
  • ProComponents: ProTable, ProForm, ProLayout, ProDescriptions
  • Day.js integration for date components
  • Ant Design Icons (300+)

When to Use

Trigger phrases:

  • "ant design"

  • "Ant Design React component library — enterprise UI, forms, tables, charts, themi"

  • Building enterprise admin dashboards and CMS

  • Need advanced form handling with complex validation

  • Want a complete design system with minimal customization

  • Building data-heavy applications with tables, charts, filters

When NOT to Use

  • Task is about content strategy, not creation (use strategy skills)
  • Task is about content distribution (use distribution skills)
  • You need to analyze content performance (use analytics skills)
  • Task is about content moderation (use moderation tools)
  • You don't have content guidelines
  • Task requires domain expertise (consult experts)

Pseudo Code

The ant-design workflow follows a standard pipeline pattern.

Core flow:

# ant-design primary flow
input = prepare(raw_data)
result = process(input, config={ant, charts, component, design, enterprise})
validate(result)
deliver(result)

Error handling:

on error:
  log(error_details)
  retry_with_backoff(max=3)
  if still_failing: alert_and_escalate()

Core Workflow

# ant-design primary flow
input = prepare(raw_data)
result = process(input, config={ant, charts, component, design, enterprise})
validate(result)
deliver(result)

Error Handling

on error:
  log(error_details)
  retry_with_backoff(max=3)
  if still_failing: alert_and_escalate()

Read the full file on GitHub · 217 lines

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. 1mo ago First seen · 217 lines · 33 tokens per session scan A f8d28f23b8dd

Subscribe to this mod's changes

ant-design is a skill published in the GitHub repository oyi77/1ai-skills (17 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 1,408 once invoked, about $0.0001 per session on Opus 5.5. 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.

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