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Found 392 Skills
Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality, discovering column distributions, identifying nulls and outliers, or deciding which dimensions to analyze.
Manages connected MCP sources for enterprise search. Detects available sources, guides users to connect new ones, handles source priority ordering, and manages rate limiting awareness.
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively.
Draft professional, empathetic customer-facing responses adapted to the situation, urgency, and channel. Use when responding to customer tickets, escalations, outage notifications, bug reports, feature requests, or any customer-facing communication.
Automate payer review of prior authorization (PA) requests. This skill should be used when users say "Review this PA request", "Process prior authorization for [procedure]", "Assess medical necessity", "Generate PA decision", or when processing clinical documentation for coverage policy validation and authorization decisions.
Error handling patterns for ERPNext Document Controllers. Use when implementing try/except, validation errors, permission errors, and transaction management. Covers rollback patterns, error logging, and user feedback. V14/V15/V16 compatible. Triggers: controller error, try except catch, ValidationError, PermissionError, rollback, error handling.
Complete syntax reference for Frappe Server Scripts. Use this skill when Claude needs to write Python code for Server Scripts in ERPNext/Frappe, including Document Events, API endpoints, Scheduler Events, and Permission Queries. Covers sandbox limitations, available frappe.* methods, event name mapping, and correct syntax for v14/v15/v16.
Scheduler and background jobs syntax for Frappe/ERPNext v14/v15/v16. Use for scheduler_events in hooks.py, frappe.enqueue() for async jobs, queue configuration, job deduplication, error handling, and monitoring. Triggers on questions about scheduled tasks, background processing, cron jobs, RQ workers, job queues, async tasks.
Error handling patterns for ERPNext/Frappe API development (v14/v15/v16). Covers whitelisted method errors, REST API errors, client-side handling, external integrations, and webhooks. Triggers: API error, whitelisted method error, frappe.call error, REST API error, webhook error, external API error, HTTP status codes.
Implementation workflows and decision trees for ERPNext Server Scripts. Use when determining HOW to implement server-side features: document validation, automated calculations, API endpoints, scheduled tasks, permission filtering. Triggers: how do I implement server-side, when to use server script vs controller, which script type, build custom API, automate validation, schedule task, filter documents per user.