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Llama
Skills for Meta's open-source Llama models. Best for self-hosting, multimodal AI, privacy-focused applications, and cost-effective deployment at scale.
1030 skills available
Meta’s Llama is the most widely deployed open-source AI model family. Llama 4 introduced mixture-of-experts architecture and native multimodal capabilities, with Scout offering an unprecedented 10M token context window. Fully open-weight and free to use, Llama powers everything from personal projects to national AI initiatives.
Key Strengths:
- Fully open-weight with no API costs or vendor lock-in
- 10M token context window (Scout) — process massive codebases and archives
- Native multimodal understanding of text, images, and video
- Trained on 200+ languages for global applications
- Fine-tunable for domain-specific needs
- Self-hostable for complete data control
- Adopted by nations for sovereign AI initiatives (France, India, UAE)
Best For: Self-hosted deployments, privacy-sensitive applications, custom fine-tuning, multilingual projects, enterprise AI at scale, and developers building AI-powered products.
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Master Docker containerization. Dockerfiles, Compose, multi-stage builds, networking, volumes, and production deployment.
Master end-to-end testing with Playwright and Cypress. Build reliable test suites that catch bugs and enable fast deployment.
Master Git rebasing, cherry-picking, bisect, worktrees, and reflog. Maintain clean history and recover from any mistake.
Expert guidance on resolving Git merge conflicts. Analyze conflict types, apply resolution strategies, and validate solutions.
Comprehensive testing with Jest, Vitest, and Testing Library. Unit tests, integration tests, mocking, and TDD for JS/TS projects.
Build production React apps with Next.js App Router, server components, data fetching, routing, and performance optimization.
Browser automation with Playwright. Web scraping, testing, screenshots, PDF generation, and multi-browser automation scripts.
Create distributable Python packages with pyproject.toml, proper structure, and PyPI publishing workflows.
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development for robust Python applications.
Upgrade React apps systematically. Migrate class components to hooks, adopt React 18 features, and modernize legacy patterns.
Master machine learning with scikit-learn. Classification, regression, clustering, preprocessing, model evaluation, and production …
System design specialist for modern tech stacks. Architecture diagrams, design patterns, tech stack decisions, and dependency analysis for …
Master SQL query optimization, indexing strategies, and EXPLAIN analysis. Dramatically improve database performance and eliminate slow …
Build full-stack apps with Supabase. PostgreSQL, authentication, storage, real-time subscriptions, and edge functions.
Identify and prevent common testing mistakes. Stop testing mock behavior, avoid production pollution, and write meaningful tests.
Master uv, the extremely fast Rust-based Python package installer. 10-100x faster than pip for modern Python project management.
Build Retrieval-Augmented Generation systems that ground LLM responses in external knowledge sources. Reduce hallucinations and enable …
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications.
Comprehensive research, analysis, and content extraction system. Multi-source parallel research with deep content analysis for thorough …
Master utility-first CSS with TailwindCSS. Responsive design, dark mode, custom themes, and component patterns for rapid UI development.
Expert ReactJS, NextJS, and TypeScript development with performance optimization, bundle analysis, and modern frontend best practices.
Build accessible UI components with shadcn/ui. Beautifully designed components built on Radix UI and styled with Tailwind CSS.
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