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Found 3,218 Skills
Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.
Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.
Manage file storage operations in Supabase Storage. Use for uploading, downloading, listing, and deleting files in buckets.
Complete React + Vite expertise for building optimized, scalable applications. Covers project architecture, folder structure, component patterns, performance optimization, TypeScript best practices, testing, and build configuration. Use when building React apps with Vite, organizing projects, optimizing performance, or implementing best practices. Includes code generators, bundle analyzer, and production-ready templates.
Complete Liquid templating language reference including syntax, filters, objects, control flow, loops, and conditionals for Shopify themes. Use when working with .liquid files, creating theme templates, implementing dynamic content, debugging Liquid code, working with sections and snippets, or rendering product/collection/cart data in Shopify stores.
This skill should be used when the user asks to "write a sales letter", "create long-form sales copy", "write a sales page copy", or "direct response sales letter". Creates complete, high-converting long-form sales letters using classic direct response formulas from Gary Halbert, Dan Kennedy, Frank Kern, and Clayton Makepeace.
Env Secret Detector - Auto-activating skill for Security Fundamentals. Triggers on: env secret detector, env secret detector Part of the Security Fundamentals skill category.
Unified issue resolution pipeline with source selection. Plan issues via AI exploration, convert from artifacts, import from brainstorm sessions, form execution queues, or export solutions to task JSON. Triggers on "issue:plan", "issue:queue", "issue:convert-to-plan", "issue:from-brainstorm", "export-to-tasks", "resolve issue", "plan issue", "queue issues", "convert plan to issue".
Ruby and Rails best practices following POODR and Refactoring Ruby. Use for Rails development guidance, code quality, dependency injection, small methods, and OOP principles. Triggers on "rails best practice", "poodr", "refactoring", "ruby oop", "code quality".