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Claude Skills by frank-luongt
github.com/frank-luongt1,201 skills8 installs1,314 views
- Linear AutomationAutomate Linear operations through Composio's Linear toolkit via Rube MCP.Votes: 0GitHub stars: 31
- Litgpt<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: litgpt description: LitGPT framework for training, fine-tuning, and deploying LLMs with Lightning. Use when building or customizing LLM architectures with PyTorch Lightning integration. tags: [litgpt, model-architecture, training] ---Votes: 0GitHub stars: 31
- Llama CppPure C/C++ LLM inference with minimal dependencies, optimized for CPUs and non-NVIDIA hardware.Votes: 0GitHub stars: 31
- Llama FactoryComprehensive assistance with llama-factory development, generated from official documentation.Votes: 0GitHub stars: 31
- Llamaguard<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: llamaguard description: LlamaGuard safety classifier for LLM inputs and outputs. Use when implementing content safety filtering in production AI applications. tags: [llamaguard, safety, alignment, content-safety] ---Votes: 0GitHub stars: 31
- LlamaindexThe leading framework for connecting LLMs with your data.Votes: 0GitHub stars: 31
- LlavaOpen-source vision-language model for conversational image understanding.Votes: 0GitHub stars: 31
- Llm App Patterns> Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry best practices.Votes: 0GitHub stars: 31
- Llm Application Dev Ai AssistantYou are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natural language understanding, context management, and seamless integrations.Votes: 0GitHub stars: 31
- Llm Application Dev Langchain AgentYou are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.Votes: 0GitHub stars: 31
- Llm Application Dev Prompt OptimizeYou are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.Votes: 0GitHub stars: 31
- Llm EvaluationMaster comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.Votes: 0GitHub stars: 31
- Lm Evaluation Harness<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: lm-evaluation-harness description: EleutherAI LM Evaluation Harness for standardized LLM benchmarking. Use when evaluating models across 200+ tasks including MMLU, GSM8K, and custom benchmarks. tags: [lm-evaluation-harness, evaluation, benchmarking] ---Votes: 0GitHub stars: 31
- Long Context<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: long-context description: Long-context extension methods for transformers. Use when extending model context windows with RoPE scaling, ALiBi, or fine-tuning approaches. tags: [long-context, emerging, research, context-window] ---Votes: 0GitHub stars: 31
- M365 Agents PyBuild enterprise agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft Agents SDK with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based authentication.Votes: 0GitHub stars: 31
- M365 Agents TsBuild enterprise agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft 365 Agents SDK with Express hosting, AgentApplication routing, streaming responses, and Copilot Studio client integrations.Votes: 0GitHub stars: 31
- Mamba<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: mamba description: Mamba selective state-space model architecture. Use when exploring alternatives to Transformer attention for efficient sequence modeling. tags: [mamba, model-architecture, training] ---Votes: 0GitHub stars: 31
- Market Sizing AnalysisComprehensive market sizing methodologies for calculating Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for startup opportunities.Votes: 0GitHub stars: 31
- Marketing Psychology**(Applied - Ethical - Prioritized)** You are a **marketing psychology operator**, not a theorist. Your role is to **select, evaluate, and apply** psychological principles that: * Increase clarity * Reduce friction * Improve decision-making * Influence behavior **ethically** You do **not** overwhelm users with theory. You **choose the few models that matter most** for the situation. ---Votes: 0GitHub stars: 31
- Mcp Builder<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: mcp-builder description: Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). tags: [mcp, tooling] ---Votes: 0GitHub stars: 31
- Mcp Enterprise PatternsPatterns for building MCP servers that wrap enterprise APIs, and for consuming MCP servers across different AI agent frameworks (Claude, OpenAI Agents SDK, Google ADK).Votes: 0GitHub stars: 31
- Megatron Core<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: megatron-core description: NVIDIA Megatron-Core for large-scale model training. Use when training 10B+ parameter models with tensor, pipeline, and expert parallelism. tags: [megatron-core, distributed-training, scaling] ---Votes: 0GitHub stars: 31
- Memory SystemsMemory provides the persistence layer that allows agents to maintain continuity across sessions and reason over accumulated knowledge. Simple agents rely entirely on context for memory, losing all state when sessions end. Sophisticated agents implement layered memory architectures that balance immediate context needs with long-term knowledge retention. The evolution from vector stores to knowledge graphs to temporal knowledge graphs represents increasing investment in structured memory for im...Votes: 0GitHub stars: 31
- Mermaid Expert<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: mermaid-expert description: Create Mermaid diagrams for flowcharts, sequences, ERDs, and tags: [ai, documentation] ---Votes: 0GitHub stars: 31
- Microservices PatternsMaster microservices architecture patterns including service boundaries, inter-service communication, data management, and resilience patterns for building distributed systems.Votes: 0GitHub stars: 31
- Microsoft Teams AutomationAutomate Microsoft Teams operations through Composio's Microsoft Teams toolkit via Rube MCP.Votes: 0GitHub stars: 31
- Milesmiles is a high-performance, enterprise-ready RL framework optimized for large-scale model post-training. Built as a production fork of slime, it addresses critical challenges in MoE training stability, low-precision training, and train-inference alignment.Votes: 0GitHub stars: 31
- Mitre Attck Reference<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: mitre-attck-reference description: MITRE ATT&CK Enterprise framework reference for mapping adversary tactics, techniques, and detection guidance tags: [security, threat-intelligence] ---Votes: 0GitHub stars: 31
- Ml Engineer<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: ml-engineer description: Build production ML systems with PyTorch 2.x, TensorFlow, and tags: [ai, ml] ---Votes: 0GitHub stars: 31
- Ml Paper WritingExpert-level guidance for writing publication-ready papers targeting **NeurIPS, ICML, ICLR, ACL, AAAI, COLM** (ML/AI venues) and **OSDI, NSDI, ASPLOS, SOSP** (Systems venues). This skill combines writing philosophy from top researchers (Nanda, Farquhar, Karpathy, Lipton, Steinhardt) with practical tools: LaTeX templates, citation verification APIs, and conference checklists.Votes: 0GitHub stars: 31
- Ml Pipeline WorkflowComplete end-to-end MLOps pipeline orchestration from data preparation through model deployment.Votes: 0GitHub stars: 31
- Mlflow<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: mlflow description: MLflow experiment tracking, model registry, and deployment platform. Use when tracking ML experiments, managing model versions, or deploying models. tags: [mlflow, mlops, experiment-tracking] ---Votes: 0GitHub stars: 31
- Mlops Engineer<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: mlops-engineer description: Build comprehensive ML pipelines, experiment tracking, and model tags: [ai, ml] ---Votes: 0GitHub stars: 31
- Mobile Security Coder<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: mobile-security-coder description: Expert in secure mobile coding practices specializing in input tags: [mobile, security] ---Votes: 0GitHub stars: 31
- ModalComprehensive guide to running ML workloads on Modal's serverless GPU cloud platform.Votes: 0GitHub stars: 31
- Model Merging<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: model-merging description: Model merging techniques (TIES, DARE, SLERP, Task Arithmetic). Use when combining multiple fine-tuned models without additional training. tags: [model-merging, emerging, research, model-composition] ---Votes: 0GitHub stars: 31
- Model Pruning<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: model-pruning description: Model pruning and sparsification techniques. Use when reducing model size through structured or unstructured weight removal. tags: [model-pruning, emerging, research, compression] ---Votes: 0GitHub stars: 31
- Modern Javascript PatternsComprehensive guide for mastering modern JavaScript (ES6+) features, functional programming patterns, and best practices for writing clean, maintainable, and performant code.Votes: 0GitHub stars: 31
- Moe Training<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: moe-training description: Mixture-of-Experts (MoE) training and architecture patterns. Use when building or training sparse MoE models for compute-efficient scaling. tags: [moe-training, emerging, research, sparse-models] ---Votes: 0GitHub stars: 31
- Monorepo ArchitectExpert in monorepo architecture, build systems, and dependency management at scale. Masters Nx, Turborepo, Bazel, and Lerna for efficient multi-project development. Use PROACTIVELY for monorepo setup, build optimization, or scaling development workflows across teams.Votes: 0GitHub stars: 31
- Monorepo ManagementBuild efficient, scalable monorepos that enable code sharing, consistent tooling, and atomic changes across multiple packages and applications.Votes: 0GitHub stars: 31
- Multi Agent Brainstorming<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: multi-agent-brainstorming description: "Structured multi-agent design review with enforced roles: designer, skeptic, constraint guardian, user advocate, and arbiter. Use when validating system designs, surfacing hidden assumptions, stress-testing architectures before implementation, or preventing premature design approval." tags: [multi-agent, brainstorming, design-review] ---Votes: 0GitHub stars: 31
- Multi Agent PatternsMulti-agent architectures distribute work across multiple language model instances, each with its own context window. When designed well, this distribution enables capabilities beyond single-agent limits. When designed poorly, it introduces coordination overhead that negates benefits. The critical insight is that sub-agents exist primarily to isolate context, not to anthropomorphize role division.Votes: 0GitHub stars: 31
- N8n Code PythonExpert guidance for writing Python code in n8n Code nodes. ---Votes: 0GitHub stars: 31
- Nanogpt<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: nanogpt description: NanoGPT minimal GPT training implementation. Use when learning GPT internals or prototyping small-scale language models from scratch. tags: [nanogpt, model-architecture, training] ---Votes: 0GitHub stars: 31
- Nemo CuratorNVIDIA's toolkit for preparing high-quality training data for LLMs.Votes: 0GitHub stars: 31
- Nemo Evaluator<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: nemo-evaluator description: NVIDIA NeMo Evaluator for comprehensive model assessment. Use when running multi-backend evaluations with custom benchmarks and adapters. tags: [nemo-evaluator, evaluation, benchmarking] ---Votes: 0GitHub stars: 31
- Nemo Guardrails<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: nemo-guardrails description: NVIDIA NeMo Guardrails toolkit for LLM safety. Use when implementing programmable safety rails, topic control, or output validation for AI apps. tags: [nemo-guardrails, safety, alignment] ---Votes: 0GitHub stars: 31
- Next Best PracticesApply these rules when writing or reviewing Next.js code. Maintained by Vercel — the authoritative source for Next.js patterns.Votes: 0GitHub stars: 31
- Nextjs App Router PatternsComprehensive patterns for Next.js 14+ App Router architecture, Server Components, and modern full-stack React development.Votes: 0GitHub stars: 31