Browse 138,453 skills across 70 categories. Mirrored from majiayu000/claude-skill-registry.
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi...
SPARC development workflow: Specification, Pseudocode, Architecture, Refinement, Completion. A structured approach for c...
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) is a systematic development methodology integrat...
Creates comprehensive implementation plans using the SPARC framework (Specification, Pseudocode, Architecture, Refinemen...
SPARC Pseudocode phase specialist for algorithm design, data structure selection, complexity analysis, and design patter...
SPARC Refinement phase specialist for iterative improvement through TDD, code optimization, refactoring, performance tun...
SPARC Specification phase specialist for requirements analysis, constraint identification, use case definition, and acce...
Apply SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion) for systematic development. Us...
Distributed processing framework for large-scale data sets using in-memory computing.
Apache Spark distributed computing. Use for big data processing.
PySpark fundamentals for distributed data processing.
Expert guidance for working with the Apache Spark Catalyst query optimisation framework. Use this skill when working wit...
Creates, configures, and updates Databricks Lakeflow Spark Declarative Pipelines (SDP/LDP) using serverless compute. Han...
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. In...
Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications...
Create spark job creator operations. Auto-activating skill for Data Pipelines. Triggers on: spark job creator, spark job...
Spark Job Creator - Auto-activating skill for Data Pipelines. Triggers on: spark job creator, spark job creator Part of...
Parse and analyze Nginx access logs using PySpark, extracting IP, timestamp, URL, and status code, then compute basic st...
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark...
Spark Sql Optimizer - Auto-activating skill for Data Pipelines. Triggers on: spark sql optimizer, spark sql optimizer Pa...
Set up Spark Bitcoin L2 wallet capabilities for AI agents. Initialize wallets from mnemonic, transfer sats and tokens, c...
Use a Spark Bitcoin L2 wallet proxy for AI agents via HTTP API. Check balances, send payments, create invoices, pay L402...
Guidance for writing and verifying SPARQL queries against RDF datasets, particularly university/academic ontologies. Thi...
Critical thinking partner for technical concepts and strategy. Use when the user wants to explore technical ideas, valid...
Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activa...
Evaluate sparse retrieval models on standard IR benchmarks (BEIR, MIRACL, mMARCO). Covers all IR metrics (nDCG@k, Recall...
> This skill has been absorbed into /memory. All capabilities now live in graphmemory.:
Embody the unbreakable Spartan ethos of discipline, courage, and relentless excellence through laconic wisdom and warrio...
Minimal SPARV workflow (Specify→Plan→Act→Review→Vault) with 10-point spec gate, unified journal, 2-action saves, 3-failu...
SPATA2 空间转录组学分析工具包 - 100%覆盖414个核心文件（388个API参考+25个教程+1个主页）
AI-powered spatial epigenomics analysis combining chromatin accessibility, histone modifications, and DNA methylation wi...
SpatialAgent focuses on the biological interpretation of spatial transcriptomics data, specifically aiming to propose me...
Implements 3D audio positioning and rendering for immersive AR/VR experiences.
Analyze cell-cell communication in spatial transcriptomics data using ligand-receptor analysis with Squidpy. Infer inter...
Load spatial transcriptomics data from Visium, Xenium, MERFISH, Slide-seq, and other platforms using Squidpy and Spatial...
Estimate cell type composition in spatial transcriptomics spots using reference-based deconvolution. Use cell2location,...
Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy. Cluster spots cons...
Build spatial neighbor graphs for spatial transcriptomics data using Squidpy. Compute k-nearest neighbors, Delaunay tria...
End-to-end spatial transcriptomics workflow for Visium/Xenium data. Covers data loading, preprocessing, spatial analysis...
Quality control, filtering, normalization, and feature selection for spatial transcriptomics data. Calculate QC metrics,...
Spatial reasoning fundamentals for three-dimensional thinking, coordinate navigation, mental rotation, cross-section vis...
Compute spatial statistics for spatial transcriptomics data using Squidpy. Calculate Moran's I, Geary's C, spatial autoc...
Surface-first hybrid architecture for StickerNest widget and sticker placement in VR/AR. Use when designing spatial plac...
Design and implement visionOS SwiftUI scenes that integrate RealityKit content. Use when building spatial UI with Realit...
Use when animation involves depth, perspective, volume, or three-dimensional awareness—camera moves, character positioni...
Author: MD BABU MIA, PhD
Guide users through omicverse's spatial transcriptomics tutorials covering preprocessing, deconvolution, and downstream...
Visualize spatial transcriptomics data using Squidpy and Scanpy. Create tissue plots with gene expression, clusters, and...
SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial...