Dados e Análise

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

Design and evaluate programmatic SEO strategies for creating SEO-driven pages at scale using templates and structured data.

Evaluate a startup idea against real patterns from 101 founder interviews

Draft privacy policies, terms of service, disclaimers, and legal notices. Creates GDPR-compliant texts, cookie policies, and data processing agreements.

Browse and search the startup pattern database (11 categories, 80+ patterns)

Audits web applications to ensure declared privacy policies match actual technical data collection practices. Use to identify discrepancies in cookie usage, tracking scripts, and user data handling.

Monitors dark web forums, marketplaces, paste sites, and ransomware leak sites for mentions of organizational assets, leaked credentials, threatened attacks, and threat actor communications to provide early warning intelligence. Use when establishing dark web monitoring coverage, investigating specific data breach claims, or enriching incident investigations with dark web context. Activates for re

Use when the work needs analytics architecture, event planning, KPI design, attribution boundaries, or instrumentation review across product and growth.

This skill activates when the user mentions "XSS", "cross-site scripting", "reflected XSS", "stored XSS", "DOM XSS", "blind XSS", "SQL injection", "SQLi", "blind SQLi", "union injection", "error-based injection", "time-based injection", "stacked queries", "second-order injection", "SSRF", "server-side request forgery", "cloud metadata", "IMDS", "internal service access", "IDOR", "insecure direct o

Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies. Use when monitoring deployed models, tracking drift, or investigating prediction anomalies.

Tools and guidance for making predictions with DataRobot deployments, including real-time predictions, batch scoring, prediction dataset generation, and prediction explanations (SHAP/XEMP). Use when making predictions, running batch scoring, generating prediction datasets, or explaining individual predictions from a deployment.