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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Light X2v"Routes LightX2V generation, serving, disaggregation, andVotes: 0GitHub stars: 247
- Conversion"Routes LightX2V LoRA extraction, LoRA merging, dummy-meta export,Votes: 0GitHub stars: 247
- Disagg"Routes LightX2V disaggregated deployment workflows for theVotes: 0GitHub stars: 247
- Inference"Routes direct LightX2V generation and model-preparation workflowsVotes: 0GitHub stars: 247
- Serving"Routes LightX2V FastAPI service workflows, task APIs,Votes: 0GitHub stars: 247
- Lightfm"Operate LightFM recommendation models, data/feature matrices,Votes: 0GitHub stars: 247
- Data Features"Build LightFM Dataset mappings, sparse interactions, weights,Votes: 0GitHub stars: 247
- Evaluation Splitting"Evaluate fitted LightFM recommenders and create leakage-safeVotes: 0GitHub stars: 247
- Model Training"Train, resume, tune, inspect, serialize, score, and troubleshootVotes: 0GitHub stars: 247
- Repo Development"Maintain LightFM editable builds, compiled extension variants,Votes: 0GitHub stars: 247
- Lightglue"Use LightGlue for local feature matching, extractor selection,Votes: 0GitHub stars: 247
- Extractors And Features"Choose LightGlue-supported feature extractors and validate featureVotes: 0GitHub stars: 247
- Image Pair Matching"Match two images end-to-end with LightGlue and a selectedVotes: 0GitHub stars: 247
- Matcher Configuration"Configure and call LightGlue directly on feature dictionaries andVotes: 0GitHub stars: 247
- Performance And Visualization"Benchmark LightGlue latency and throughput, and create or saveVotes: 0GitHub stars: 247
- Lightllm"Route LightLLM serving, deployment, and validation workflows intoVotes: 0GitHub stars: 247
- Benchmark Validation"Validate LightLLM with repo-native benchmarks, regressions, staticVotes: 0GitHub stars: 247
- Deployment Topologies"Plan LightLLM launch topologies, process sequencing, ports, andVotes: 0GitHub stars: 247
- Model Runtime"Explain LightLLM model-family support, backend selection,Votes: 0GitHub stars: 247
- Serving Api"Operate LightLLM HTTP serving, request payloads, streaming, andVotes: 0GitHub stars: 247
- Lightly"Use LightlySSL for self-supervised computer-vision training, modelVotes: 0GitHub stars: 247
- Cli Data Embedding"Use LightlySSL CLIs, Hydra overrides, data layouts, YOLO crops,Votes: 0GitHub stars: 247
- Evaluation Maintenance"Use LightlySSL evaluation utilities and choose safe repositoryVotes: 0GitHub stars: 247
- Ssl Building Blocks"Assemble Lightly low-level SSL data, transform, loss, head, andVotes: 0GitHub stars: 247
- Training Workflows"Lightly SSL training recipes for PyTorch, Lightning, and gatedVotes: 0GitHub stars: 247
- Lightning Hydra Template"Operate Lightning-Hydra-Template projects: Hydra configs,Votes: 0GitHub stars: 247
- Configure Experiments"Configure Lightning-Hydra-Template experiments with HydraVotes: 0GitHub stars: 247
- Customize Data Model"Customize Lightning-Hydra-Template DataModules, LightningModules,Votes: 0GitHub stars: 247
- Test Maintain Template"Maintain Lightning-Hydra-Template tests, CI, Makefile targets,Votes: 0GitHub stars: 247
- Train Evaluate"Run and debug Lightning-Hydra-Template training and evaluationVotes: 0GitHub stars: 247
- Lightning"Build, configure, debug, distribute, and deploy PyTorch LightningVotes: 0GitHub stars: 247
- Cli Configuration"Build and troubleshoot LightningCLI and LightningArgumentParserVotes: 0GitHub stars: 247
- Deployment Serving"Export, optimize, validate, and serve Lightning models forVotes: 0GitHub stars: 247
- Distributed Accelerators"Choose, configure, validate, and troubleshoot Lightning TrainerVotes: 0GitHub stars: 247
- Fabric Expert Loops"Use this sub-skill for Lightning Fabric expert-controlled PyTorchVotes: 0GitHub stars: 247
- Training Core"Build, convert, debug, and validate core Lightning trainingVotes: 0GitHub stars: 247
- Lightrag"Use LightRAG as a graph-based RAG framework: embedded Python APIs,Votes: 0GitHub stars: 247
- Api Server"Operate the LightRAG API server, WebUI, route families, auth,Votes: 0GitHub stars: 247
- Core Rag"Use LightRAG as an embedded Python library: construct LightRAG,Votes: 0GitHub stars: 247
- Document Pipeline"Work with LightRAG document ingestion internals: parser routing,Votes: 0GitHub stars: 247
- Llm Providers"Configure and troubleshoot LightRAG LLM, embedding, VLM,Votes: 0GitHub stars: 247
- Storage Backends"Configure and troubleshoot LightRAG storage backends, workspaceVotes: 0GitHub stars: 247
- Limi X"Use LimiX for structured/tabular foundation-model inference,Votes: 0GitHub stars: 247
- Benchmark Cli"Use LimiX benchmark-style classification and regression CLIVotes: 0GitHub stars: 247
- Configuration Preprocessing"Inspect, choose, generate, and debug LimiX inference configs andVotes: 0GitHub stars: 247
- Predictor Inference"Use LimiXPredictor for local checkpoint inference on tabularVotes: 0GitHub stars: 247
- Retrieval Optimization"Operate LimiX sample-retrieval ensemble inference and OptunaVotes: 0GitHub stars: 247
- Litellm"Use for LiteLLM Python SDK, AI Gateway proxy, model routing,Votes: 0GitHub stars: 247
- Agent Tools"Use when configuring LiteLLM for MCP tools, A2A agents, ClaudeVotes: 0GitHub stars: 247
- Providers And Endpoints"Use when mapping LiteLLM provider/model prefixes, selecting SDK orVotes: 0GitHub stars: 247