# Skills for Data and databases Skills for Data and databases: what each one does, an install command and example prompts. 1566 cards · page 6 of 40 - HTML: https://affpapa.org/en/nevibecode/skills/topic/data?page=6 - Instructions for agents: https://affpapa.org/en/nevibecode/agents.md - [async-io-model](https://affpapa.org/en/nevibecode/skills/async-io-model.md) — skill · tursodatabase · Claude Code, Codex, Cursor +3 · 1300 installs — Teaches the agent Turso's cooperative async I/O patterns: explicit state machines, IOResult, and avoiding re-entrancy bugs. - [debugging](https://affpapa.org/en/nevibecode/skills/debugging.md) — skill · tursodatabase · Claude Code, Codex, Cursor +3 · 1300 installs — A skill for tracking down tursodb bugs: compare bytecode against SQLite, turn on trace logs, run ThreadSanitizer, replay a seed and measure stack use. - [agent-memory-systems](https://affpapa.org/en/nevibecode/skills/sickn33-agent-memory-systems.md) — skill · sickn33 · Claude Code, Codex, Cursor +3 · 2000 installs — Skill for designing agent memory with per-user and per-tenant isolation. - [database-lookup](https://affpapa.org/en/nevibecode/skills/database-lookup.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2100 installs — Queries 80 documented public database APIs with explicit filters, pagination, and provenance. - [seaborn](https://affpapa.org/en/nevibecode/skills/k-dense-ai-seaborn.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2100 installs — A skill that gets your coding agent building seaborn plots from pandas DataFrames: distributions, regressions, pairplots and heatmaps, written against the current API. - [statsmodels](https://affpapa.org/en/nevibecode/skills/k-dense-ai-statsmodels.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2100 installs — This skill teaches the agent to fit and diagnose Python statistical models: OLS, GLM, discrete outcomes and time series. - [exploratory-data-analysis](https://affpapa.org/en/nevibecode/skills/k-dense-ai-exploratory-data-analysis.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2100 installs — Runs bounded local exploratory analysis on scientific files like CSV, NumPy, and HDF5. - [recsys-pipeline-architect](https://affpapa.org/en/nevibecode/skills/recsys-pipeline-architect.md) — skill · Seth Hobson · Claude Code, Codex, Cursor · 4200 installs — Designs six-stage recommendation, ranking, and feed pipelines. - [umap-learn](https://affpapa.org/en/nevibecode/skills/umap-learn.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2000 installs — This skill guides UMAP-based dimensionality reduction, 2D/3D embeddings, and clustering preparation. - [optimize-for-gpu](https://affpapa.org/en/nevibecode/skills/optimize-for-gpu.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2000 installs — Accelerates data-heavy Python workloads on NVIDIA GPUs and benchmarks the end-to-end speedup against the CPU baseline. - [dask](https://affpapa.org/en/nevibecode/skills/dask.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2000 installs — A skill that teaches the agent to use Dask for DataFrames, arrays and tasks that outgrow RAM or run across a cluster. - [shap](https://affpapa.org/en/nevibecode/skills/shap.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2000 installs — Guides AI agents in explaining and auditing machine learning predictions with SHAP. - [networkx](https://affpapa.org/en/nevibecode/skills/k-dense-ai-networkx.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2000 installs — Build, analyse and visualise Python graphs with NetworkX. - [polars](https://affpapa.org/en/nevibecode/skills/polars.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 2000 installs — The skill gives agents reference material on Polars, the Python DataFrame library with lazy evaluation and an expression-based API for ETL and pandas migration. - [mvcc](https://affpapa.org/en/nevibecode/skills/mvcc.md) — skill · tursodatabase · Claude Code, Codex, Cursor +3 · 1200 installs — Architectural reference for experimental MVCC in Turso: row versioning, snapshot isolation, and known memory limits. - [differential-fuzzer](https://affpapa.org/en/nevibecode/skills/differential-fuzzer.md) — skill · tursodatabase · Claude Code, Codex, Cursor +3 · 1200 installs — This skill guides Turso differential fuzzer runs and investigates differences against SQLite. - [transaction-correctness](https://affpapa.org/en/nevibecode/skills/transaction-correctness.md) — skill · tursodatabase · Claude Code, Codex, Cursor +3 · 1200 installs — Explains how transactions work in Turso: WAL mechanics, checkpointing, crash recovery, and concurrency rules. - [rag-architect](https://affpapa.org/en/nevibecode/skills/httpsgithubcomjeffallan-rag-architect.md) — skill · https://github.com/Jeffallan · Claude Code, Codex, Cursor +3 · 4700 installs — Designs production RAG systems: chunks documents, generates embeddings, configures vector stores, builds hybrid search pipelines, and evaluates retrieval quality. - [tiledbvcf](https://affpapa.org/en/nevibecode/skills/tiledbvcf.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — This skill stores genomic variants in TileDB-VCF, ingests VCF/BCF files, and queries data by region or sample. - [omero-integration](https://affpapa.org/en/nevibecode/skills/omero-integration.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — A skill that lets your agent inventory and automate microscopy data on OMERO.server: object traversal, metadata export, import planning. - [pyopenms](https://affpapa.org/en/nevibecode/skills/pyopenms.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Processes mass spectrometry data for proteomics and metabolomics using pyOpenMS. - [polars-bio](https://affpapa.org/en/nevibecode/skills/polars-bio.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Genomic interval arithmetic on Polars DataFrames, plus readers and writers for formats from BED to CRAM. - [histolab](https://affpapa.org/en/nevibecode/skills/histolab.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Prepares whole-slide histology images by segmenting tissue masks, extracting tiles, and normalizing H&E staining. - [lamindb](https://affpapa.org/en/nevibecode/skills/lamindb.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Keeps a LaminDB registry of biological datasets and models: artifact registration, schemas, Bionty annotation, metadata search. - [matchms](https://affpapa.org/en/nevibecode/skills/matchms.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Cleans, filters, and compares tandem mass spectra using matchms. - [usfiscaldata](https://affpapa.org/en/nevibecode/skills/usfiscaldata.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Queries U.S. Treasury fiscal data for debt, statements, rates and auctions through a REST API. - [scvelo](https://affpapa.org/en/nevibecode/skills/scvelo.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Runs RNA velocity analysis from spliced and unspliced count matrices using scVelo. - [flowio](https://affpapa.org/en/nevibecode/skills/flowio.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Reads and writes flow cytometry FCS 2.0, 3.0 and 3.1 files: metadata, channels, events as NumPy. - [pytdc](https://affpapa.org/en/nevibecode/skills/pytdc.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Integrates Therapeutics Data Commons workflows into coding agents to discover ML datasets, plan task splits, and run molecular oracles safely. - [geniml](https://affpapa.org/en/nevibecode/skills/geniml.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Checks BED and genomic-universe contracts, then plans Region2Vec and scEmbed runs. - [depmap](https://affpapa.org/en/nevibecode/skills/depmap.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — A skill for discovering and analyzing Cancer Dependency Map data. - [pysam](https://affpapa.org/en/nevibecode/skills/pysam.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Guides agents through Python and HTSlib workflows for genomic files like BAM, CRAM, and VCF. - [neurokit2](https://affpapa.org/en/nevibecode/skills/neurokit2.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Builds reproducible physiological time-series workflows in NeuroKit2 0.2.13. - [zarr-python](https://affpapa.org/en/nevibecode/skills/zarr-python.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Stores and queries chunked N-D scientific arrays with Zarr-Python 3. - [pyhealth](https://affpapa.org/en/nevibecode/skills/pyhealth.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Builds and validates PyHealth pipelines for clinical data: EHR, signals, imaging, medical codes. - [pymatgen](https://affpapa.org/en/nevibecode/skills/pymatgen.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Analyzes, validates, converts, and transforms materials structures and computed data with pymatgen. - [imaging-data-commons](https://affpapa.org/en/nevibecode/skills/imaging-data-commons.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Skill for searching and downloading public medical imaging data from the NCI Imaging Data Commons repository. - [vaex](https://affpapa.org/en/nevibecode/skills/vaex.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — A skill for columnar analysis on a single machine when data exceeds available memory. - [benchling-integration](https://affpapa.org/en/nevibecode/skills/benchling-integration.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Automates Benchling laboratory data workflows using Python SDK 1.25.0 and REST API v2. - [datamol](https://affpapa.org/en/nevibecode/skills/datamol.md) — skill · K-Dense-AI · Claude Code, Codex, Cursor +3 · 1900 installs — Guides an agent through molecular data work with datamol and RDKit, from SMILES parsing to descriptors, clustering, and 3D conformers. Next: https://affpapa.org/en/nevibecode/skills/topic/data.md?page=7 ## Refine [python](https://affpapa.org/en/nevibecode/tag/python.md) · [database](https://affpapa.org/en/nevibecode/tag/database.md) · [sql](https://affpapa.org/en/nevibecode/tag/sql.md) · [analytics](https://affpapa.org/en/nevibecode/tag/analytics.md) · [typescript](https://affpapa.org/en/nevibecode/tag/typescript.md) · [cli](https://affpapa.org/en/nevibecode/tag/cli.md) · [migration](https://affpapa.org/en/nevibecode/tag/migration.md) · [api](https://affpapa.org/en/nevibecode/tag/api.md) · [bioinformatics](https://affpapa.org/en/nevibecode/tag/bioinformatics.md) · [google-cloud](https://affpapa.org/en/nevibecode/tag/google-cloud.md) · [rag](https://affpapa.org/en/nevibecode/tag/rag.md) · [sqlite](https://affpapa.org/en/nevibecode/tag/sqlite.md) ## Narrow this list Parameters: `?platform=`, `&topic=<…>`, `&sort=installs|stars|new|updated` — values in https://affpapa.org/en/nevibecode/agents.md --- NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md