Coding & Dev Tools

gonzalorey Bundle

Liquidar sueldos mensuales de personal de casas particulares en Argentina (Irma y Mariza) usando Google Sheets (Referencia Matrix, Eventos, Pagos), preparar el flujo ARCA, validar resultados con gate de aprobación final, registrar pagos y preparar entrega por WhatsApp sin envío automático. Usar cuando se necesite cálculo mensual, chequeo normativo ARCA/CNTCP, simulación o ejecución controlada con aprobación previa.

gonzalorey Bundle

Orquestar el cierre mensual de facturación a contactos recurrentes (Santi Favelukes y Santi Olivieri) con cálculo de cotización USD desde dolarhoy, registro de deuda ARS/USD en Google Sheets, preparación y registro de facturas, actualización de tracking accounts en YNAB y salida de mensajes para WhatsApp. Usar cuando se ejecute el proceso de fin de mes con compuerta de últimos 3 días hábiles y control de cambios de monto.

viggyv Bundle

Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard w

viggyv Bundle

Process-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,

viggyv Bundle

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 (der

viggyv Bundle

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEm

viggyv Bundle

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

viggyv Bundle

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale

viggyv Bundle

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 cal

viggyv Bundle

Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.

fcistud Skill

Plan low-risk refactors with staged rollout and regression protection.

fcistud Skill

Design feature storage and serving patterns for ML systems.

fcistud Skill

Fraud operations monitoring with precision/recall tradeoff control.

fcistud Skill

Plan training runs with resource budgets, metrics, and failure criteria.

fcistud Skill

Structure experiment tracking for reproducibility and comparison.

jesson1222 Skill

Example Skill

alexprotg Skill

Telethon userbot patterns for AlexSoftClub. Use when writing/modifying Telegram client code (Telethon, sessions, accounts, async tasks). Covers connection, error handling, session management, anti-flood.

iimp0ster Skill

Maps detection requirements to concrete data sources and field-level telemetry. Produces a prioritized data source list, field mapping table, visibility gap analysis, and logging configuration requirements. Use after a detection objective is defined to determine what logs and fields the detection logic will depend on.

iimp0ster Skill

Analyzing Coverage Gaps

iimp0ster Skill

Designing Detection Logic

iimp0ster Skill

Designs a comprehensive testing approach to validate detection effectiveness. Produces positive and negative test procedures, an evaluation metrics framework, an Atomic Red Team test plan, and an iterative tuning strategy. Use after detection logic is designed to plan how to verify the detection fires correctly and doesn't produce excessive false positives.

iimp0ster Skill

Generating Emulation Scripts

iimp0ster Skill

Documents organization-specific data schemas, tooling inventory, and known-noisy infrastructure to pre-tune detections for a specific environment. Produces a reusable exclusion baseline, data schema reference, and environment-specific tuning parameters. Use before detection logic design when the environment has unique configurations, known scanners, or specific field naming conventions.

domitriusclark Bundle

Download and analyze videos by extracting frames for visual inspection. Use when the user wants to: (1) analyze or review a video, (2) understand what happens in a video, (3) extract frames or screenshots from footage, (4) compare moments across a video, (5) review gameplay footage, tutorials, or recordings. Supports YouTube, Vimeo, Twitter/X, Twitch URLs and local video files. Requires yt-dlp and ffmpeg.

viggyv Bundle

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRN

viggyv Bundle

Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.

viggyv Bundle

Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.

viggyv Bundle

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

viggyv Bundle

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel

viggyv Bundle

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

viggyv Bundle

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify t

viggyv Bundle

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, o

viggyv Bundle

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, com

viggyv Bundle

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

fcistud Skill

Grant writing support for fit analysis and proposal structuring.

fcistud Skill

Healthcare outcomes analysis workflows and intervention tracking.