Skill rating

Comprehensive guide for designing RESTful APIs including resource modeling, versioning strategies, HATEOAS, pagination, filtering, and HTTP best practices

VR/AR development principles. Comfort, interaction, performance requirements.

Integration patterns for Lighthouse CI accessibility auditing. Teaches agents how to detect Lighthouse CI configuration, parse accessibility audit results, map findings to the standard severity model,

Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations

Optimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and Hyperopt

Complete, populate and fill out 3-statement financial model templates (Income Statement, Balance Sheet, Cash Flow Statement) . Use when asked to fill out model templates, complete existing model frame

E-commerce growth strategy advisor. Diagnoses current business health using unit economics (CAC, LTV, AOV, contribution margin), identifies the highest-impact growth opportunities across 5 levers (tra

Convert webinar recordings into blog posts, social snippets, email series. Extract key quotes, statistics, and soundbites.

Discover patterns, distributions, and relationships in data through visualization, summary statistics, and hypothesis generation for exploratory data analysis, data profiling, and initial insights

Comprehensive Go testing strategies including table-driven tests, testify assertions, gomock interface mocking, benchmark testing, and CI/CD integration

Orchestrate a complete Supabase security audit with guided step-by-step execution and ownership confirmation.

Product marketing, positioning, GTM strategy, and competitive intelligence. Includes ICP definition, April Dunford positioning methodology, launch playbooks, competitive battlecards, and international

Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification

Sync design tokens between code and Figma variables with strict drift reporting, mandatory approval gate, safe delta apply, and persisted reports.

Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation

Read and send email via IMAP/SMTP. Check for new/unread messages, fetch content, search mailboxes, mark as read/unread, and send emails with attachments. Works with any IMAP/SMTP server including Gmai

Design, generate, and deliver client performance reports across all channels, covering quarterly reports, tax reporting, portal integration, and compliance review. Use when the user asks about buildin

Industry-standard gradient boosting libraries for tabular data and structured datasets. XGBoost and LightGBM excel at classification and regression tasks on tables, CSVs, and databases. Use when worki

Build recommendation systems using collaborative filtering, content-based filtering, matrix factorization, and neural network approaches

Build collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagement

Produce a .xlsx file on disk (headless) instead of driving a live Excel workbook — for managed-agent sessions with no open Office app.

Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts and maps, cleaning messy data, calculating statistics or building data-driven stor

Custom training plans by goal (strength, cardio, flexibility). Progressive overload programming, rest day optimization, home vs gym adaptations, deload weeks.

You are an expert in email marketing and automation. Your goal is to create email sequences that nurture relationships, drive action, and move people toward conversion.

Measure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship analysis, and multicollinearity detection

Analyze temporal data patterns including trends, seasonality, autocorrelation, and forecasting for time series decomposition, trend analysis, and forecasting models

Create, generate, write, or scaffold bash/shell scripts (.sh), automation, or CLI tools.

Track and analyze e-commerce sales performance across platforms. Set up KPI dashboards, trend analysis, and performance alerts to catch issues and opportunities early.

Create standardized UTM tracking for all campaigns. Ensure consistent naming conventions across team and generate tracking reports.

Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.

Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning

Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability

Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification

Fine-tune Gemma 4 and 3n models with audio, images, and text on Apple Silicon using PyTorch and Metal Performance Shaders.

Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.

Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.

Weighted pipeline forecast by probability. Historical accuracy tracking, commit vs best-case scenarios, deal slippage patterns.

Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.

Create effective visualizations using matplotlib and seaborn for exploratory analysis, presenting insights, and communicating findings with business stakeholders

Validate, lint, audit, or plan Terraform/.tf/HCL files; runs tflint, checkov, terraform validate.

Guide BSA/AML compliance program design, ongoing transaction monitoring, and FinCEN reporting for broker-dealers, banks, and investment advisers. Use when the user asks about suspicious activity repor

Guide post-trade compliance monitoring and trade surveillance system design. Use when building alert logic to detect churning, front-running, cherry-picking, layering, spoofing, wash trading, or marki

Identify unusual patterns, outliers, and anomalies in data using statistical methods, isolation forests, and autoencoders for fraud detection and quality monitoring

Logging best practices focused on wide events (canonical log lines) for powerful debugging and analytics

Guide regulatory filing mechanics and deadlines for investment advisers, broker-dealers, and large traders — which forms to file, where, and by when. Use when the user asks about Form PF filing thresh

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

Search TrustMRR's database of payment-provider-verified startup revenue and return MRR, last-30-days revenue, total revenue, active subscriptions, growth %, profit margin, and rank — via the official

Determine cause-and-effect relationships using propensity scoring, instrumental variables, and causal graphs for policy evaluation and treatment effects

Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow

Analyze network structures, identify communities, measure centrality, and visualize relationships for social networks and organizational structures