cloudflare-worker-base
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exploratory-data-analysis
Analyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating statistical summaries, checking data quality, or creating visualizations. Supports CSV, Excel, JSON, Parquet, and more.
cloudflare-vectorize
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zarr-python
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that don't fit in memory.
umap-learn
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
transformers
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
torchdrug
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.
torch-geometric
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
tooluniverse
Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.
d3-viz
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
sympy
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
statsmodels
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
stable-baselines3
Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment design, or RL experimentation.
pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
claude-git-branching
Expert Git workflow management for Claude Code sessions with branch naming conventions, push retry logic, conflict resolution, and PR automation specifically designed for AI-assisted development workflows.
pufferlib
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.
polars
Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.
pathml
Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.
cloudflare-kv
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cloudflare-turnstile
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cloudflare-images
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cloudflare-hyperdrive
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cloudflare-full-stack-scaffold
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clerk-auth
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cloudflare-mcp-server
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cloudflare-agents
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cloudflare-browser-rendering
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cloudflare-nextjs
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cloudflare-cron-triggers
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cloudflare-d1
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cloudflare-durable-objects
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cloudflare-email-routing
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cloudflare-full-stack-integration
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cloudflare-sandbox
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docs-seeker
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
drizzle-orm-d1
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elevenlabs-agents
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uniprot-database
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
cloudflare-r2
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cloudflare-queues
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codex
Executes OpenAI Codex CLI for code analysis, refactoring, and automated editing. Activates when users mention codex commands, code review requests, or automated code transformations requiring advanced reasoning models.
skills-consolidator
Merge and organize large Claude Code skill collections with conflict resolution. Use when combining skills from multiple sources, flattening directory structures, resolving duplicate names, preserving metadata, or preparing a curated skills library for distribution.
skills-duplicate-detector
Find duplicate, near-duplicate, and functionally overlapping Claude Code skills in a collection. Use when auditing a skills library for redundancy, after bulk-downloading from multiple sources, or before committing new skills to a repository.
stable-diffusion-helper
Generate and troubleshoot Stable Diffusion images: model installation and selection, prompt and negative-prompt engineering, CFG, sampler and step tuning, and VRAM optimization. Use when setting up SD models, improving photorealism, or diagnosing poor generation quality.
google-adk-python_mrgoonie
Build AI agents with Google's Agent Development Kit (ADK) for Python. Use when creating tool-using or multi-agent systems, wiring sequential, parallel or loop workflow agents, integrating Google Search or code execution, evaluating agent performance, or deploying to Vertex AI Agent Engine or Cloud Run.
motion
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proxmox-auth
Authenticate to and manage a Proxmox VE cluster over SSH and the pvesh API. Use when querying cluster nodes, listing or controlling LXC containers and VMs, checking cluster and node status, or automating Proxmox administration.
claude-code_mrgoonie
Guidance on Claude Code, Anthropic's terminal-based agentic coding tool. Use when asked about Claude Code features, installation and authentication, slash commands, Agent Skills, MCP server configuration, hooks and plugins, IDE integration, enterprise deployment, or troubleshooting.
bulk-github-skills-downloader
Discover, clone, and consolidate Claude Code skills from many GitHub repositories at once. Use when bulk-downloading skills, building or refreshing a skills collection, flattening nested skill directories, or batch-importing from a curated list of repos.
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