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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...
Voice, tone, and content guidelines for data/ML dashboards. Covers microcopy, error messages, success states, and data presentation language. Auto-invokes on copy, messaging, content, labels, error messages key...
Coordination protocol for main Claude Code agent. Explicit user invocation required ("mobilize agents", "coordinate", "check registry"). Provides agent orchestration, registry management, and handoff protocols....
Data quality validation rules, quality metrics, and acceptance criteria for Somali dialect classifier datasets. Covers duplicate detection, language filtering, quality scoring, and validation protocols. Auto-in...
Query and analyze Claude Code history joined with Git data using SQL. Use when user asks about their Claude conversations, productivity patterns, commit history correlation, session analytics, or wants to explo...
Interact with Messages app - read conversations, send messages, and check for new messages using AppleScript and SQLite database access
Automates the creation of documentation for solved problems.
Conversion Copywriter Specialist. Use this for landing page copy, email sequences, and optimizing conversion rates.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.