skills.homescapability registry Search

query active

Search Skills

Find the perfect capability for your agent.

Popular searches

python ai web scraper mcp pdf git docker typescript

Results

4,166

matching skills for this query

Page

19

of 209 pages

Keyword

python

search by name, tag, or description

divination-mysticism

6.6K

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.

K-Dense-AI

lifestyle

academic

6.6K

pubmed-database

Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.

K-Dense-AI

research

astronomy-physics

6.6K

astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

K-Dense-AI

research

scientific-computing

6.6K

omero-integration

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

K-Dense-AI

research

scientific-computing

6.6K

bioservices

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

K-Dense-AI

research

scientific-computing

6.6K

gget

Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.

K-Dense-AI

research

scientific-computing

6.6K

biopython

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

K-Dense-AI

research

scientific-computing

6.6K

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.

K-Dense-AI

research

scientific-computing

6.6K

rowan

Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.

K-Dense-AI

research

scientific-computing

6.6K

kegg-database

Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.

K-Dense-AI

research

scientific-computing

6.6K

gtars

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

K-Dense-AI

research

computational-chemistry

6.6K

datamol

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

K-Dense-AI

research

scientific-computing

6.6K

fluidsim

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

K-Dense-AI

research

technical-docs

6.3K

lance-user-guide

Guide Code Agents to help Lance users write/read datasets and build/choose indices. Use when a user asks how to use Lance (Python/Rust/CLI), how to write_dataset/open/scan, how to build vector indexes (IVF_PQ, IVF_HNSW_*), how to build scalar indexes (BTREE, BITMAP, LABEL_LIST, NGRAM, INVERTED, BLOOMFILTER, RTREE, etc.), how to combine filters with vector search, or how to debug indexing and scan performance.

lance-format

documentation

testing

6.3K

mz-platform-checks

This skill should be used when the user wants to create, modify, or debug a platform check. Trigger when the user mentions "platform check", "platform-checks", "upgrade check", "restart check", or wants to write a Check class that tests feature survival across restarts/upgrades. Also trigger when the user edits files in misc/python/materialize/checks/all_checks/.

MaterializeInc

testing-security

package-distribution

6.2K

build-cli

Build and install the Python CLI (planoai). Use after making changes to cli/ code to install locally.

katanemo

development

code-quality

6.2K

test-python

Run Python CLI tests. Use after making changes to cli/ code.

katanemo

testing-security

testing

6.1K

run-python-tests

Run end-to-end Python tests after making changes to verify correctness. Use this when you want to verify your changes from an end-to-end perspective, after ensuring the build and Rust tests pass.

RediSearch

testing-security

package-distribution

5.7K

http-client-python-bump-and-release

Create a PR to bump TypeSpec/Azure Tools dependencies, update peer dependencies, or release a new version of the http-client-python package.

microsoft

development

code-quality

5.7K

emitter-prep-for-pr

Prepare language emitter changes for PR: validate (build, format, lint), add a changeset, and push. This skill is specifically for the language emitter packages (http-client-python, http-client-csharp, http-client-java) - NOT for core TypeSpec packages like compiler, http, openapi3, etc. Use when the user wants to finalize emitter changes, says things like "prep for pr", "prepare for PR", "validate and push", "add changeset", or "finalize changes".

microsoft

testing-security

Page 19 / 209