cms-platforms
156
plugin-scaffolder
Generates a standardized single-file i18n Python plugin template based on project standards. Use when starting a new plugin development to skip boilerplate writing.
Fu-Jie
development
query active
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full-stack
156
kkrpc-interop
Implement kkrpc client/server in any programming language to communicate with TypeScript kkrpc endpoints. Covers protocol, message formats, transports, and reference implementations in Go, Python, Rust, and Swift.
kunkunsh
development
scripting
156
python-exec
Execute arbitrary Python code and return stdout. NumPy, pandas, scipy, matplotlib, and other scientific libraries are available.
lamm-mit
development
divination-mysticism
156
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.
lamm-mit
lifestyle
astronomy-physics
156
geopandas
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
lamm-mit
research
astronomy-physics
156
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.
lamm-mit
research
astronomy-physics
156
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.
lamm-mit
research
bioinformatics
156
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.
lamm-mit
research
bioinformatics
156
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.
lamm-mit
research
bioinformatics
156
geometry-generator
Generate parametric bioinspired ribbed membrane STL geometry via LLM-guided design. Takes a spec JSON (from StructureAnalyst/PropertyPredictor upstream artifacts), calls the LLM with a structured CAD prompt to produce design parameters, then builds a triangulated STL mesh in Python. Returns artifact JSON with stl_path, mesh stats, and the prompt used.
lamm-mit
research
bioinformatics
156
pdb-database
Python API for RCSB PDB 3D structures (search, fetch coordinates, metadata). Input MUST be a protein/gene name (e.g. 'KRAS', 'EGFR', 'BTK') or a 4-character PDB ID (e.g. '6OIM'). Returns zero results for drug/chemistry phrases such as 'covalent inhibitors' or 'warhead selectivity'. Strip all drug qualifiers — pass only the target protein name or PDB accession.
lamm-mit
research
bioinformatics
156
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.
lamm-mit
research
computational-chemistry
156
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.
lamm-mit
research
scientific-computing
156
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.
lamm-mit
research
scientific-computing
156
datamol
Python cheminformatics library (RDKit wrapper). Input: SMILES strings you already possess. Output: computed molecular properties, fingerprints, conformers, clustering. Does NOT retrieve compounds from any database — querying by topic name returns only a metadata stub. Use pubchem or chembl to obtain SMILES first, then pass those SMILES here.
lamm-mit
research
scientific-computing
156
biopython
Computational molecular biology library (sequence I/O, alignment, phylogenetics). Input: FASTA/GenBank/PDB files you already have. Output: parsed sequences, alignments, phylogenetic trees, structural analysis. Does NOT search databases — invoking by topic returns only a placeholder stub. For literature use pubmed, for protein lookup use uniprot, for sequence homology use blast.
lamm-mit
research
debugging
155
idalib-analysis
Analyze binaries using IDA Pro's Python API (idalib) in headless mode. Use when examining program structure, functions, disassembly, cross-references, or strings without the GUI.
williballenthin
tools
media
155
concept-to-video
Turn any concept into an animated explainer video using Manim (Python). Use whenever the user wants animated visualizations, motion graphics, or video output (MP4/GIF) for technical concepts. Covers: architecture animations, data flows, algorithm step-throughs, pipeline explainers, math proofs, comparisons, agent interactions, training loops, image embedding, multi-scene composition. Supports audio overlay via ffmpeg, parametric templates, and subtitles. Works headless — no browser or Node.js required. Also trigger for Manim scene edits or re-renders. Trigger on: "create a video", "animate this", "make an explainer", "concept to video", "manim animation", "show this as a video", "motion graphic", "visualize this process", "add voiceover to video", "animate with audio", or any concept + video/animation request. For branded motion graphics or React-based video, use remotion-video instead.
Mathews-Tom
content-media