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AI & LLM Engineering · By magnus919
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Build multi-agent AI systems with LangGraph — the low-level orchestration framework for stateful, graph-based agent workflows. | magnus919/ | 119 | — | ~2.8k | Automated safety check: Pass | MIT | today |
| 2 | 2.Autogen Build conversational multi-agent systems with Microsoft AutoGen. | magnus919/ | 115 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 3 | 3.Crewai Build role-based multi-agent systems with CrewAI. An agent skill from magnus919/agent-skills. | magnus919/ | 115 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 4 | 4.Dspy Optimize and build programmatic prompt systems with Stanford DSPy. | magnus919/ | 115 | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 5 | 5.Haystack Build production search and NLP pipelines with Haystack. An agent skill from magnus919/agent-skills. | magnus919/ | 115 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 6 | 6.Litellm Operate, configure, secure, and troubleshoot the LiteLLM AI gateway (proxy) and Python SDK: run the proxy (litellm --config), route to 100+ providers through one OpenAI-compatible API, configure… | magnus919/ | 115 | — | ~4.2k | Automated safety check: Notes | MIT | yesterday |
| 7 | Design, integrate, evaluate, self-host, and troubleshoot typed System One decision models including TypeSafe Jev, Convai Innovations Laya, CLM, and experimental Strands Decider. | magnus919/ | 115 | — | ~3.8k | Automated safety check: Pass | MIT | yesterday |
| 8 | 8.Vllm Operate, configure, benchmark, and troubleshoot vLLM inference servers: Docker and Kubernetes deployment, quantization-aware model configuration (tensor parallelism, KV cache), OpenAI-compatible API… | magnus919/ | 115 | — | ~4.1k | Automated safety check: Notes | MIT | yesterday |
| 9 | A skill your agent uses when creating, reviewing, or editing Agent Skills-format skills, or when implementing skill discovery and loading in an agent client. | magnus919/ | 115 | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 10 | 10.Langchain Build LLM applications with LangChain. An agent skill from magnus919/agent-skills. | magnus919/ | 115 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 11 | 11.Llama Cpp Operate, configure, benchmark, and troubleshoot llama.cpp across CPU, Metal, CUDA, HIP/ROCm, Vulkan, SYCL, and hybrid or multi-GPU systems. | magnus919/ | 115 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 12 | 12.Llamaindex Build LLM applications with the LlamaIndex framework. An agent skill from magnus919/agent-skills. | magnus919/ | 115 | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 13 | Plan and execute production ML engineering work — model training and fine-tuning (LoRA/QLoRA), evaluation and eval-set design, quantization decisions, inference deployment, lineage, feature parity… | magnus919/ | 115 | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 14 | Run end-to-end product experiments from assumption to decision: translate assumptions into testable hypotheses and experiment briefs, select the right method among qualitative interviews… | magnus919/ | 115 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 15 | 15.Pydanticai Build type-safe AI agents and graph-based workflows with PydanticAI and PydanticGraph. | magnus919/ | 115 | — | ~4.3k | Automated safety check: Pass | MIT | yesterday |
