402 skills found · Page 4 of 14
brycewang-stanford / StatsPAI_skillUse when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study fig…
zLanqing / pymatgenMaterials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
zLanqing / pymooMulti-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
zLanqing / seabornStatistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib.
zLanqing / simpyProcess-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared r…
zLanqing / sympyUse 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…
zLanqing / networkxComprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python
zLanqing / statsmodelsStatistical models library for Python
parcadei / agentica-sdkBuild Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
parcadei / agentica-serverAgentica server + Claude proxy setup - architecture, startup sequence, debugging
davepoon / closeCommit the session to durable vault memory and prepare a clean resume point
davepoon / atlas-cloud-mediaDiscover Atlas Cloud image and video models, inspect their live schemas, and submit one confirmed media generation request with bounded GET polling
ericosiu / shortform-productionProduce readable vertical shorts with evidence-based B-roll, three opening treatments, editorial review, and authorized Metricool API delivery. Use for shortform edits, captions, hook experiments, or scheduling approved clips.
Ar9av / session-brainBuild or refresh a browser-viewable topic graph over Claude session history using local clustering. Use for mapping or clustering sessions, recent or stale topic analysis, or rebuilding/showing the session graph. Unlike wiki-history-ingest, it indexes raw sessions and never writes to the vault.
punitarani / fliGoogle Flights MCP, CLI and Python Library
foryourhealth111-pixel / matplotlibFoundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.
foryourhealth111-pixel / edgartoolsPython library for accessing, analyzing, and extracting data from SEC EDGAR filings
NVIDIA / amc-run-sample-calibrationRun end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice
NVIDIA / amc-run-video-calibrationCalibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
NVIDIA / earth2studio-create-diagnosticCreate Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics. Do NOT use for prognostic time-stepping models, data sources, or installation.
NVIDIA / earth2studio-create-prognosticCreate Earth2Studio prognostic (time-stepping forecast) model wrappers. Do NOT use for diagnostic models, data sources, or installation.
NVIDIA / holoscan-install-wheelInstall Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.
NVIDIA / cuopt-developerModify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.
NVIDIA / amc-run-rtsp-calibrationCalibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API
NVIDIA / rfd4-proteina-nimRun RFD4-Proteina NIM for joint protein structure and sequence design, conditioned generation, and reward-guided search using the NVIDIA hosted API or a self-hosted NIM. Not for the older RFdiffusion contigs API.
NVIDIA / earth2studio-create-datasourceCreate and validate Earth2Studio data source wrappers (DataSource, ForecastSource, DataFrameSource, ForecastFrameSource) from remote stores. Do NOT use for fetching data with existing sources, model inference, or installation tasks.
NVIDIA / holoscan-setupAssess a host and choose a Holoscan SDK 5.x installation method using release availability, CUDA 13 compatibility, and component needs.
NVIDIA / cuopt-routing-api-pythonVehicle routing (VRP, TSP, PDP) with cuOpt — Python API only
NVIDIA / cudaq-importingUse when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity.
NVIDIA / holoscan-app-debug-build-runUse when a concrete holoscan command in holoscan-applications or a standalone Module fails, hangs, regresses, or returns wrong output.
