antlr4-dev
ANTLR4前端开发专家,专注于词法/语法分析、AST构建、访问者模式。
Discover Blockchain skills, compare source repositories and read the instructions for each workflow.
ANTLR4前端开发专家,专注于词法/语法分析、AST构建、访问者模式。
编译器后端开发专家,专注于IR、CFG、SSA、数据流分析和优化Pass。
Git提交专家,规范化提交信息和分主题提交。
测试开发专家,基于JUnit 5 + AssertJ + Mockito + JaCoCo。
虚拟机开发专家,专注于字节码、指令、栈帧、内存管理和垃圾回收。
Clarify requirements before implementing. Use when serious doubts arise.
Validates GitHub Copilot customization files (agents, skills, prompts, instructions) for correct format and structure. Use when checking if agent files are properly configured, troubleshooting agent issues, or...
Generates documentation and usage guides for agents, skills, prompts, and instructions. Use when onboarding team members, creating README files for your customizations, or generating usage examples for existing...
Contains the complete specifications for VS Code GitHub Copilot customization files including agents, skills, prompts, and instructions. Use this skill when you need to reference the correct file format, requir...
Analyzes existing agents, skills, prompts, and instructions to identify overlaps, redundancies, and conflicts. Use before creating new customization files to avoid duplication, when consolidating agents, or whe...
Bitcoin UI review (iOS)
Expert knowledge in testing methodologies, test patterns, and quality assurance. Use when writing tests or setting up testing infrastructure.
Expert knowledge in project planning, requirements gathering, user stories, and scope management. Use when planning new projects or features.
Expert knowledge in quality assurance gates, code quality standards, and automated checks. Use when enforcing quality standards.
Expert knowledge in API design, authentication, caching, and backend best practices. Use for backend development tasks.
Expert knowledge in error diagnosis, debugging strategies, and self-healing patterns. Use when tasks fail or errors occur.
Expert knowledge in React patterns, component design, state management, and frontend best practices. Use for frontend development tasks.
ETL workflow patterns, data pipeline architecture, and ingestion strategies for Somali dialect classifier. Covers source integration, transformation logic, staging patterns, and load strategies. Auto-invokes wh...
Unified design system for data/ML dashboards. Quick reference for brand vs data color decisions, component patterns, typography, spacing. Auto-invokes on styling, CSS, design, colors, UI, visualization keywords...
Model evaluation metrics, testing protocols, and performance assessment for Somali dialect classification. Covers accuracy, F1-score, confusion matrix analysis, per-dialect performance, and evaluation best prac...
WCAG AA accessibility checklist and verification protocols for Somali dialect classifier dashboard. Covers keyboard navigation, screen readers, color contrast, ARIA labels, and accessibility testing procedures.
Low-resource NLP techniques specific to Somali language processing. Covers data scarcity strategies, cross-lingual transfer, morphological analysis, data augmentation for Somali, semi-supervised learning, and e...
MLOps best practices for model versioning, experiment tracking, deployment, monitoring, and retraining workflows. Covers reproducibility, CI/CD for ML, model registry, and production ML system design.
Reusable React/JavaScript patterns for Somali dialect classifier dashboard. Covers Chart.js integration, data card components, filter patterns, responsive layouts, and dashboard-specific UI patterns. Auto-invok...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.