analysis▌

Framework-driven competitive analysis grounded in market realities, not feature comparison. \n \n Expands competitive set beyond direct competitors to include status quo, workarounds, and analog alternatives; helps identify the true threat (features, distribution, or business model) \n Surfaces structural asymmetries and unique advantages competitors cannot easily copy, with emphasis on grounding analysis in customer and market perspective rather than internal politics \n Flags common pitfalls:

Comprehensive competitor SEO and GEO analysis revealing ranking strategies, content approaches, and market opportunities. \n \n Analyzes keyword rankings, content strategies, backlink profiles, and technical SEO across 2-5 competitors to identify performance gaps and actionable insights \n Includes GEO/AI citation analysis showing how competitors appear in AI responses and where citation opportunities exist \n Supports both automated data collection via SEO tool integrations (Ahrefs API) and man

This skill orchestrates a dimensional-analysis pipeline for codebases that perform numeric computations with mixed units, precisions, or scaling factors. The main skill context is a workflow controller only: it delegates scanning, vocabulary discovery, annotation, propagation, and validation to specialized subagents, then manages batching, persistence, retries, coverage gates, and final reporting.

Implement a structured threat intelligence lifecycle encompassing planning, collection, processing, analysis, dissemination, and feedback stages to produce actionable intelligence for organizational decision-making.

Deploy and query Arkime (formerly Moloch) for full packet capture network traffic analysis. Uses the Arkime API v3 to search sessions, download PCAPs, analyze connection patterns, detect beaconing behavior, and identify suspicious network flows. Monitors DNS queries, HTTP traffic, and TLS certificate anomalies across captured traffic.

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals.

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

Extract cognitive patterns and thinking fingerprints from any text to analyze reasoning and decision-making styles.

Query the Cancer Dependency Map for gene dependency scores, drug sensitivity data, and gene effect profiles.

deepTools is a comprehensive suite of Python command-line tools for processing and analyzing high-throughput sequencing data.