dart-test
DART testing patterns - unit tests, integration tests, CI validation
发现 测试与安全 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
DART testing patterns - unit tests, integration tests, CI validation
DART testing patterns - unit tests, integration tests, CI validation
DART CI/CD troubleshooting - GitHub Actions, cache debugging, platform-specific failures
DART build system knowledge - CMake, pixi, dependencies, troubleshooting
DART build system knowledge - CMake, pixi, dependencies, troubleshooting
DART contribution workflow - branching, PRs, code review, dual-PR for bugfixes
DART contribution workflow - branching, PRs, code review, dual-PR for bugfixes
DART CI/CD troubleshooting - GitHub Actions, cache debugging, platform-specific failures
DART Python bindings (dartpy) - nanobind, wheel building, API patterns
DART model loading - URDF, SDF, MJCF, SKEL parsers and dart::io unified API
Minimalist UX/Interaction Audit Expert that deconstructs complex interactions through cognitive load and operational efficiency lenses. Use this skill when you need to perform a UX walkthrough audit on a Figma...
WCAG 2.2 Accessibility Audit skill that systematically evaluates web pages against 8 core Success Criteria (1.1.1, 1.4.3, 1.4.11, 2.1.1, 2.1.2, 2.4.3, 2.4.7, 4.1.2) using accessibility tree inspection and visua...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends AIPex's capabilities with specialized knowledge, workflows, or too...
Design and create Agent Skills using progressive disclosure principles. Use when building new skills, planning skill architecture, or writing skill content.
Step-by-step guide to add a new UI theme to AiderDesk (SCSS + CSS variables + types + i18n).
Create AiderDesk agent profiles via interactive Q&A.
Comprehensive guide for writing unit tests, integration tests, and component tests in AiderDesk using Vitest. Use when creating new tests, configuring mocks, or organizing test files.
通用学习器 - 从任何领域的Prompt中自动提取可复用元素,持续学习和积累知识
AI领域分类器 - 智能分析提示词内容,准确判断所属领域(人像/艺术/设计/产品/视频)
视频生成主控 - 自动生成视频场景提示词,支持动态效果、转场、运镜等
提示词分析与洞察 - 查看Prompt详情、对比差异、推荐相似提示词、元素库统计
提示词生成器 - 根据用户主题描述智能生成完整的AI图像提示词,基于元素数据库
提示词主控 - 智能选择合适的领域skill并生成提示词,支持自动领域分类和调度
平面设计主控 - 自动生成平面设计提示词,支持海报、logo、插画等多种设计类型
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。