13,736 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
A data-recovery skill that uses a local small language model and semantic grouping to detect and correct data problems automatically. A data pipeline is a process that moves and transforms data between systems.
Query and analyze data in a Tower-managed Apache Iceberg lakehouse using the Tower CLI's built-in read-only SQL query command (tower catalogs query), and record what you learn about the data with tower catalogs knowledge. Use this skill whenever the user asks a question about their company or business data (revenue…
Ingest data from array file formats into an Icechunk or Arraylake repository as a single Zarr datacube. Use this skill whenever the user mentions archival array or scientific file formats such as netCDF/HDF5/TIFF/GRIB/Zarr; cloud-optimized or ARCO (Analysis-Ready Cloud-Optimized) data; creating, converting or moving…
Opinionated skills for building and debugging LangGraph agents and for prompt engineering: pick a stack, write a spec, debug a broken graph, and write better prompts.
★not rated 2 2mo agoA
tokens not measured
originalMIT
Generate a structured analytical Jupyter notebook from any dataset path. Produces EDA, statistical tests, visualizations, and optional modeling following notebook best practices.
Use when the user wants to analyze a deep learning research project folder, locate core model architecture files, training/evaluation scripts, configs, experiment logs, ablation results, checkpoints, metrics, or paper-writing evidence, and summarize technical contributions into contentanalysis.md for downstream…
A collection of Chinese-language skills for prompt engineering, turning images into prompts, creating multiple object views, planning interior and exterior camera views, and making seamless PBR textures for Midjourney.
Research, filter, compare, and evaluate AI models on OpenRouter — discover models by capability (tool use, vision, audio), get cost/context-aware recommendations, run head-to-head comparisons, and conduct deep research that goes beyond the OpenRouter catalog.
★not rated 2 4mo agoA
tokens not measured
originalMIT
A tool for writing image-generation prompts in the style of internal seminar or workshop presentation materials. It supports complex layouts with 20–30 text elements and can produce prompts for visual-renderer.
A native Claude Code port of Hugging Face's ml-intern: autonomous ML engineering on the Hugging Face ecosystem with research-first fine-tuning (SFT/DPO/GRPO/LoRA) on HF Jobs, dataset/repo/paper tooling, and an optional budget-bounded autonomous experiment loop.
★not rated 2 2mo agoA
tokens not measured
originalApache-2.0
MCP server providing persistent IPython kernel for executing Python code with numpy, pandas, and matplotlib. Runs locally from the pykernel-mcp Python package.
★not rated 2 11mo agoA
tokens not measured
originalMIT
Production-grade MCP server with smart attachment auto-detection, ordered vision/OCR analysis, code context, and safe ZIP inspection. Runs locally from the omni-vision-pro npm package.
★not rated 2 1mo agoA
tokens not measured
originalMIT
Local Documentation MCP Server with RAG. Runs locally from the mcp-local-context Python package.
★not rated 2 1y agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: