300 skills (repositories by VectorSpaceLab) · sorted by popularity
Use ClawBio for local-first bioinformatics agent workflows: install and run its skill library, route genomic or omics inputs, create reproducible reports, connect optional MCP or Nextflow integrations, and author or validate skills.
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Use CleanRL's single-file reinforcement learning scripts, evaluation utilities, experiment operations, and repository maintenance workflows safely.
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Use OpenAI CLIP for zero-shot image-text inference, prompt engineering, feature extraction, and responsible evaluation.
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Routes tasks for discovering NLP datasets in the CLUEDatasetSearch catalogue, including Chinese NLP classification, QA, matching, NER, generation, translation, corpus, and reading-comprehension resources.
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Use CausalML for causal inference, uplift modeling, matching, validation, interpretation, and treatment optimization workflows.
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Use code-review-graph for local-first CLI/MCP code knowledge graphs, graph-backed code review, structural search, and repository-analysis integrations.
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Routes Cognee AI memory platform tasks across SDK memory APIs, graph/RAG retrieval, configuration, custom pipelines, session memory, CLI, API, MCP, and deployment workflows.
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Use ColabFold for protein structure prediction workflows: validate FASTA/CSV/A3M inputs, generate MSAs, plan batch predictions, inspect outputs, and troubleshoot optional AlphaFold, MMseqs2, JAX, GPU, and OpenMM dependencies.
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Use richzhang/colorization PyTorch colorizers for automatic image colorization, Python API calls, preprocessing/postprocessing, and runtime troubleshooting.
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Route ComfyUI Save As Script and workflow export tasks into the CLI and Web UI sub-skills.
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Routes CenterNet object-detection training, evaluation, configuration, and setup workflows.
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Use Chai Lab / Chai-1 for molecular structure prediction, input preparation, MSA/template setup, restraints, glycans, and repo-specific troubleshooting.
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Guides ChatGLM2-6B Transformers inference, local demos, FastAPI/OpenAI-compatible serving, C-Eval evaluation, and P-Tuning v2 fine-tuning.
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Use Cirq to build, simulate, transform, serialize, validate, and provider-package quantum circuits.
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Use CLAM for weakly supervised computational pathology workflows on whole-slide images, from WSI patching through features, training, evaluation, and heatmaps.
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Routes cleanlab data-centric AI workflows for finding label errors, dataset issues, outliers, annotator quality, and task-specific label-quality problems.
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Route ClearerVoice-Studio tasks for ClearVoice inference, SpeechScore metrics, and speech-model training or data-preparation workflows.
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Route ClearML Python SDK tasks across experiment tracking, data/versioned storage, remote execution CLIs, automation pipelines, HPO, schedulers, routers, and services.
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Guides CLIP-as-service client, server, and CLIP search workflows for text/image embeddings, cross-modal ranking, and retrieval services.
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Routes CogDL graph-learning workflows for experiments, graph data, models, training wrappers, and pipeline apps.
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Use ColossalAI for distributed PyTorch training, large-model parallelism, Booster plugins, ShardFormer, Colossal-Inference, and first-party application workflow routing.
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Use ComfyUI as a modular AI content-creation engine: launch and automate the server, submit API workflows, validate graph JSON, author custom nodes, and configure model paths/backends.
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Operate ComfyUI-LTXVideo custom nodes for LTX-2 video, audio, IC-LoRA, prompt-conditioning, and advanced ComfyUI workflows.
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Use MosaicML Composer for PyTorch training loops, speedup methods, loggers, checkpoints, distributed launch, profiling, and model export.
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