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Found 2,386 Skills
Map scRNA-seq atlases onto spatial transcriptomics slides using omicverse's Single2Spatial workflow for deep-forest training, spot-level assessment, and marker visualisation.
Analyze spatial transcriptomics data to map gene expression in tissue architecture. Supports 10x Visium, MERFISH, seqFISH, Slide-seq, and imaging-based platforms. Performs spatial clustering, domain identification, cell-cell proximity analysis, spatial gene expression patterns, tissue architecture mapping, and integration with single-cell data. Use when analyzing spatial transcriptomics datasets, studying tissue organization, identifying spatial expression patterns, mapping cell-cell interactions in tissue context, characterizing tumor microenvironment spatial structure, or integrating spatial and single-cell RNA-seq data for comprehensive tissue analysis.
Spawn Agentica multi-agent patterns
Concurrent investigation of independent failures. Use when multiple unrelated issues need parallel resolution.
Create and manage PNPM workspaces following Constructive standards. Use when asked to "create a monorepo", "set up a workspace", "configure pnpm", or when starting a new TypeScript/JavaScript project with multiple packages.
Use when upgrading a Rspack 1.x project to v2, including dependency and configuration updates.
Create a consistent spacing system based on a base unit with contextual application rules.
This skill should be used when dispatching autonomous development or review tasks from GitHub issues. Covers scanning for new issues with the 'autonomous' label, dispatching dev-new/dev-resume/review processes, dependency checking, retry counting, stale process detection, and concurrency limiting. Use when asked to "run the dispatcher", "scan for pending issues", "dispatch autonomous tasks", "check stale agents", or "set up the dispatch cron".
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.
Analyze lakehouse data interactively using Fabric Livy sessions and PySpark/Spark SQL for advanced analytics, DataFrames, cross-lakehouse joins, Delta time-travel, and unstructured/JSON data. Use when the user explicitly asks for PySpark, Spark DataFrames, Livy sessions, or Python-based analysis — NOT for simple SQL queries. Triggers: "PySpark", "Spark SQL", "analyze with PySpark", "Spark DataFrame", "Livy session", "lakehouse with Python", "PySpark analysis", "PySpark data quality", "Delta time-travel with Spark".
Develop Microsoft Fabric Spark/data engineering workflows with intelligent routing to specialized resources. Provides core workspace/lakehouse management and routes to: data engineering patterns, development workflow, or infrastructure orchestration. Use when the user wants to: (1) manage Fabric workspaces and resources, (2) develop notebooks and PySpark applications, (3) design data pipelines and orchestration, (4) provision infrastructure as code. Triggers: "develop notebook", "data engineering", "workspace setup", "pipeline design", "infrastructure provisioning", "Delta Lake patterns", "Spark development", "lakehouse configuration", "organize lakehouse tables", "create Livy session", "notebook deployment".
Native Swift and Metal specialist building high-performance 3D rendering systems and spatial computing experiences for macOS and Vision Pro