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Async-IO AI Skills

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浏览 Async-IO 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

18

收录技能的仓库 Stars 合计

288

仓库 Forks

36

平均每个技能的仓库 Stars

16

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

18 个技能

全部技能

GitHub

test-mcp-compliance

Async-IO

Validates Model Context Protocol (MCP) compliance by running official compliance test suite against Pierre server

GitHub

run-full-test-suite

Async-IO

Executes comprehensive test suite across unit, integration, E2E, database, protocols, and intelligence algorithms

GitHub

check-no-secrets

Async-IO

Scans codebase for accidentally committed secrets, credentials, API keys, and sensitive data to prevent security breaches

GitHub

frontend-design

Async-IO

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications.

GitHub

design-review

Async-IO

Review UI components for design system compliance, accessibility, and visual consistency

GitHub

ui-patterns

Async-IO

Ready-to-use UI patterns library for common scenarios - stats dashboards, data tables, forms, modals, and feedback states

GitHub

generate-sdk-types

Async-IO

Generates TypeScript type definitions for SDK from Rust tool schemas, ensuring type safety between server and client

GitHub

session

Async-IO

Session Management Skill - manage Linear session tracking for persistent memory across conversations

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。