Processament de dades
Transformació i anàlisi sintàctica de dades
flow-next-deps
gmickel
"Show epic dependency graph and execution order. Use when asking 'what's blocking what', 'execution order', 'dependency graph', 'what order should epics run', 'critical path', 'which epics can run in parallel'."
simpleaible
simpleble
Use the SimpleAIBLE MCP server to scan, connect, and interact with Bluetooth devices. This skill provides guidance on the recommended flow (scan -> connect -> services -> read/notify) and handles platform-specific differences like UUIDs on macOS vs MAC addresses on Linux. Use when the user wants to interact with BLE hardware or debug Bluetooth connections.
pm-weekly-review
mohitagw15856
"Structure a PM's weekly review and planning session. Use when doing a weekly PM review, writing a weekly update, preparing for Monday planning, or reviewing sprint health. Produces a shareable weekly update covering metrics movement, shipping progress, blockers, insights, and next week's top 3 priorities."
prowler-compliance
prowler-cloud
Creates and manages Prowler compliance frameworks. Trigger: When working with compliance frameworks (CIS, NIST, PCI-DSS, SOC2, GDPR, ISO27001, ENS, MITRE ATT&CK).
nextjs-15
prowler-cloud
Next.js 15 App Router patterns. Trigger: When working in Next.js App Router (app/), Server Components vs Client Components, Server Actions, Route Handlers, caching/revalidation, and streaming/Suspense.
shopify-admin-skills
40RTY-ai
Master skill collection for Shopify store operators. Provides access to all merchandising, marketing, support, and operations capabilities.
alphafold-database
jimmc414
"Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology."
type-scale
dylantarre
Generates typography scales using modular ratios with auto-calculated line heights. Use when setting up font-size tokens, heading hierarchy (h1-h6), or text sizing systems. Outputs CSS, Tailwind, or JSON.
color-scale
dylantarre
Generates perceptually uniform OKLCH color palettes from brand colors. Use when creating color systems, theme palettes, or converting hex values to 11-step scales. Outputs CSS custom properties, Tailwind config, or JSON tokens.
design-tokens-structure
dylantarre
Architects token systems with primitive, semantic, and component layers. Use when structuring tokens from scratch, adding multi-theme support, setting up token aliasing, or organizing token hierarchies.
dark-mode
dylantarre
Implements theme switching with semantic tokens and prefers-color-scheme detection. Use when adding dark mode, light/dark themes, color scheme toggles, or converting hardcoded colors to theme-aware tokens.
spacing-scale
dylantarre
Generates consistent spacing tokens using base values and ratios. Use when creating margin/padding systems, gap tokens, or layout spacing. Outputs CSS custom properties, Tailwind config, or JSON tokens.
developing-genkit-tooling
firebase
Best practices for authoring Genkit tooling, including CLI commands and MCP server tools. Covers naming conventions, architectural patterns, and consistency guidelines.
nextjs-15
Gentleman-Programming
Next.js 15 App Router patterns. Trigger: When working with Next.js - routing, Server Actions, data fetching.
hypogenic
jimmc414
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
flowio
jimmc414
"Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing."
cellxgene-census
jimmc414
"Query CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, integrate with scanpy/PyTorch, for population-scale single-cell analysis."
drugbank-database
jimmc414
Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
biomni
jimmc414
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
ensembl-database
jimmc414
"Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research."
etetoolkit
jimmc414
"Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics."
biopython
jimmc414
"Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database."
cosmic-database
jimmc414
"Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision oncology. Requires authentication."
aeon
jimmc414
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.