AI Agent Skills

This is the code for "AI for Financial Data" By Siraj Raval on Youtube

Parse xbrl documents to extract tags for common financial data

Julia library for standardizing financial data retrieval and storage from multiple APIs.

Exercises to help improve SQL skills

Easy access to financial data: stock quotes, exchange rates, industry sectors, companies, and more

Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data collected via the financialmodeli…

Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning

Audit fact density and sourcing on a page — measure statistic/number density per passage, detect proprietary/original data, count outbound citations to authoritative sou…

Build reproducible analytics scripts or notebooks for ingestion, cleaning, transformation, statistics, visualization, and delivery.

Workplace service delivery insights including space utilization, service request patterns, facility management metrics, and desk booking analytics

Connect the optional sports_ds Python toolkit to the standalone sports analytics skills. Use when the user explicitly mentions sports_ds, wants its NFL/NBA/MLB public-da…

Use when auditing, planning, or debugging marketing measurement, conversion tracking, GA4, GTM, UTMs, pixels, CRM attribution, funnel reporting, or dashboard trust.

A Metabase AI-governance coach, covering the *controls and rollout* side of AI: who may use Metabot, what it can see, what it costs, where the model runs, and the audit…

Use when tracking player behavior, economy events, or funnels with AnalyticsService, including event taxonomy, rate limits, and batching.

Feed last month's real numbers into next month's plan: ingest a platform analytics export (CSV from Instagram Insights, LinkedIn analytics, TikTok Studio, X analytics —…

>-