Skill UI

A comprehensive workflow for scraping and extracting structured data from Google search results using the SerpApi. It captures all key components, including organic listings, knowledge graphs, answer boxes, People Also Ask (PAA), local pack results, and related searches. Ideal for SEO monitoring, market research, competitive analysis, or building search-powered features that require deep, structured data insights.

Utilize this tool to programmatically access and parse search engine result pages (SERP) data from multiple sources, including Google, Bing, YouTube, and Google News. It returns comprehensive, structured JSON data, allowing developers and marketers to extract organic results, knowledge graph entries, ads, and local information for advanced SEO analysis, market research, and data science projects. Supports both Python and Node.js implementations.

An end-to-end orchestrator for bulk RNA-seq analysis, guiding users from raw FASTQ reads through QC, alignment, quantification, and differential expression. It supports both nf-core/rnaseq and standalone tools like STAR/Salmon, ensuring reproducible and statistically sound results for gene-level counts and pathway enrichment.

Perform pathway and gene-set enrichment analysis on gene lists or ranked data using tools like gseapy, Enrichr, and g:Profiler. Supports ORA, GSEA, ssGSEA, and functional profiling across GO, KEGG, Reactome, and MSigDB databases. Ideal for interpreting differential expression results, CRISPR screen hits, and cluster markers to identify over-represented biological pathways.

This meta-skill processes an entire Excel workbook to extract deep business insights. It systematically reads all data, performs structured trend and anomaly analysis, writes the comprehensive results back into a dedicated 'Insights' sheet, and permanently stores key performance indicators (KPIs) in long-term memory. Ideal for detailed business review and data deep-dives.

This skill facilitates the design of comprehensive employee engagement surveys (e.g., annual, pulse, exit) and provides a structured framework for analyzing the results. It guides users through creating key sections like eNPS, culture metrics, and growth opportunities, culminating in actionable plans and communication templates for HR professionals.

Hayabusa is a specialized threat-hunting and fast-forensics tool designed to analyze Windows EVTX event logs. It applies a comprehensive library of Sigma detection rules to raw log data, generating a single, prioritized, chronological timeline. The output includes severity levels, MITRE ATT&CK mappings, and detailed metrics, enabling analysts to perform rapid, SIEM-free incident triage and export results for collaborative analysis.

This skill provides querying capabilities for the 1000 Genomes Project dataset, covering 3,202 whole-genome-sequenced individuals on the GRCh38 assembly. It allows users to identify variants within a region, find specific individuals who carry defined genetic variants, or determine the relatedness between two named individuals. Results include allele frequencies (AF), AlphaMissense scores, and various clinical annotations. Use this tool for advanced genomic cohort analysis.

This template guides the process of turning raw A/B test results, growth experiments, or product feature data into a clear, actionable decision report. It structures the analysis beyond mere metrics by forcing the inclusion of hypothesis, setup details, result interpretation, and a final, justified decision (Ship/Stop/Iterate). Essential for Product Managers and Growth Teams.

This is a foundational primitive skill for managing complex browser interactions. It initiates a named, traceable browser session within an RVF cognitive container, recording every user action as a trajectory step. Use it when starting any multi-step web exploration, ensuring the session state, actions, and results are preserved for later analysis, testing, or replay by downstream skills.

This tool allows users to export comprehensive marketing data—including KPIs, contact records, campaign results, and performance snapshots—to external data stores. It supports integration with BigQuery for advanced data warehousing, Google Sheets for stakeholder collaboration, and Supabase for custom application development. The process includes mandatory PII handling, schema transformation, and detailed execution summaries to ensure compliance and data integrity for downstream analytics and reporting.

A comprehensive guide outlining rigorous data analysis and reporting standards for geographic manuscripts. It covers spatial statistics, remote sensing accuracy, and qualitative interpretation, emphasizing spatial honesty, quantifying uncertainty, and ensuring results are robust across different scales and units.