14,252 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.
Find a curated AI prompt template for any task — writing, image generation, video, or code. Use this skill when the user wants a ready-made prompt template (not a one-shot request). The skill queries a configurable prompt library backend via a documented /api/skill/ HTTP contract and returns the best match with…
Implements DataOps CI/CD with lakeFS-style branching, pre-commit data validation hooks, and deterministic RAG ingestion with vector DB as fuzzy recall fallback. Use when building data pipelines, RAG systems, or isolated dev/test data environments.
Use when the user asks to "write a prompt for DeepSeek", "compose a DeepSeek prompt", wants to send a task to a DeepSeek model, needs to launch a DeepSeek subagent. Also use when explicitly named: DeepSeek. Trigger on any request to draft, refine, or assemble a prompt targeting a DeepSeek-family model — for either…
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 4mo 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.
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 6mo agoA
tokens not measured
originalMIT
Data-engineering workbench in four skills: pipeline-review audits DAGs and models for silent-failure modes (idempotency, backfill, late data, schema drift), sql-surgeon reads real EXPLAIN plans and rewrites slow queries with proof, data-contract drafts producer-consumer contracts and generates enforcing tests, and…
★not rated 2 1mo agoA
tokens not measured
originalMIT
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 1y agoA
tokens not measured
originalMIT
MCP server "calibre-rag-mcp-nodejs" as configured in ispyridis/calibre-rag-mcp-nodejs. Runs locally from the calibre-rag-mcp-nodejs npm package.
★not rated 2 1y agoA
tokens not measured
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: