2,391 skills found ¡ Page 20 of 80
eigent-ai / skill-creatorGuide for creating effective skills
yusufkaraaslan / skill-builderAutomatically detect source types and build AI skills using Skill Seekers
latent-spaces / bragTurn the current project website into a short, polished, shareable launch video using Hyperframes
Orchestra-Research / weights-and-biasesTrack ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
Orchestra-Research / evolving-ai-agentsProvides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms
Orchestra-Research / llamaindexData framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines.
Orchestra-Research / dspyBuild complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Orchestra-Research / guidanceControl LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
Orchestra-Research / instructorExtract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
Orchestra-Research / ray-dataScalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes.
Orchestra-Research / huggingface-accelerateSimplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
Orchestra-Research / pytorch-lightningHigh-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code
Orchestra-Research / sglangFast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5Ã faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.
Orchestra-Research / crewai-multi-agentMulti-agent orchestration framework for autonomous AI collaboration
Orchestra-Research / segment-anything-modelFoundation model for image segmentation with zero-shot transfer
Orchestra-Research / stable-diffusion-image-generationState-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers
Orchestra-Research / distributed-llm-pretraining-torchtitanProvides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP)
Orchestra-Research / slime-rl-trainingProvides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework
Orchestra-Research / training-llms-megatronTrains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies
Orchestra-Research / skypilot-multi-cloud-orchestrationMulti-cloud orchestration for ML workloads with automatic cost optimization
Orchestra-Research / hqq-quantizationHalf-Quadratic Quantization for LLMs without calibration data
Orchestra-Research / autogpt-agentsAutonomous AI agent platform for building and deploying continuous agents
Orchestra-Research / langsmith-observabilityLLM observability platform for tracing, evaluation, and monitoring
Orchestra-Research / deepspeedExpert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention
Orchestra-Research / modal-serverless-gpuServerless GPU cloud platform for running ML workloads
Orchestra-Research / experiment-tracking-swanlabProvides guidance for experiment tracking with SwanLab
MiniMax-AI / minimax-docxProfessional DOCX document creation, editing, and formatting using OpenXML SDK (.NET). Three pipelines: (A) create new documents from scratch, (B) fill/edit content in existing documents, (C) apply template formatting with XSD validation gate-check.
MiniMax-AI / pptx-generatorGenerate, edit, and read PowerPoint presentations. Create from scratch with PptxGenJS (cover, TOC, content, section divider, summary slides), edit existing PPTX via XML workflows, or extract text with markitdown. Triggers: PPT, PPTX, PowerPoint, presentation, slide, deck, slides.
MiniMax-AI / ppt-editing-skillEdit existing PowerPoint files or templates with XML-safe workflows. Use for template-based deck updates: analyze layouts, map content to slides, duplicate/reorder/delete slides safely, edit slide XML in parallel, clean orphaned assets, and repack validated PPTX output.
MiniMax-AI / react-native-devReact Native and Expo development guide covering components, styling, animations, navigation, state management, forms, networking, performance optimization, testing, native capabilities, and engineering (project structure, deployment, SDK upgrades, CI/CD).
