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Found 103 Skills
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Amazon Bedrock Prompt Management for creating, versioning, and managing prompt templates with variables, multi-variant A/B testing, and flow integration. Use when creating reusable prompt templates, managing prompt versions, implementing A/B testing for prompts, integrating prompts with Bedrock Flows, optimizing prompt engineering, or building production prompt catalogs.
Use when conducting user research (interviews, usability tests, surveys, A/B tests) or designing research studies. Covers discovery, validation, evaluative methods, research ops, governance, and measurement for software experiences.
Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.
Create Facebook and Meta ad campaigns, write ad copy, define audiences, and plan budgets. Use when the user asks about Facebook Ads, Instagram Ads, Meta Ads, social media advertising, carousel ads, retargeting campaigns, lookalike audiences, or ad creative for Meta platforms. Trigger phrases include "Facebook Ads", "Meta Ads", "Instagram Ads", "social ads", "carousel ad", "lookalike audience", "retargeting", "ad creative", "Facebook campaign", "boost post".
Email newsletter workflows for journalists and researchers. Use when creating, managing, or optimizing email newsletters, building subscriber lists, designing email templates, analyzing engagement metrics, or planning newsletter content calendars. Essential for independent journalists, academic communicators, and media organizations building direct audience relationships.
This skill should be used when the user asks to review, proofread, check, or evaluate content. It provides comprehensive text review (grammar, logic, compliance) and version evaluation (A/B testing, comparison analysis). Text review automatically adds AI disclaimer at the end.
Marketing analytics specialist covering tracking setup, dashboards, reporting, attribution modeling, A/B testing and experiment design, conversion optimization, and data-driven decision making. Use when the user wants to set up analytics tracking, create dashboards, build reports, implement conversion tracking, design or set up A/B tests, calculate sample sizes, write test hypotheses, analyze campaign performance, set up attribution models, audit existing analytics, or make data-driven marketing decisions. Also triggers for GA4, Google Tag Manager, UTM parameters, conversion rates, marketing ROI, funnel analysis, cohort analysis, sample size calculation, ICE scoring, experiment roadmap, or any marketing measurement question.
Use when optimizing multi-factor systems with limited experimental budget, screening many variables to find the vital few, discovering interactions between parameters, mapping response surfaces for peak performance, validating robustness to noise factors, or when users mention factorial designs, A/B/n testing, parameter tuning, process optimization, or experimental efficiency.
Specialized in ultra-fast proof-of-concept development and MVP creation using efficient tools and frameworks
Analyzes and rewrites prompts for better AI output, creates reusable prompt templates for marketing use cases (ad copy, email campaigns, social media), and structures end-to-end AI content workflows. Use when the user wants to improve prompts for AI-assisted marketing, build prompt templates, or optimize AI content workflows. Also use when the user mentions 'prompt engineering,' 'improve my prompts,' 'AI writing quality,' 'prompt templates,' or 'AI content workflow.'
Evaluates ML models for performance, fairness, and reliability. Use for metric selection, cross-validation strategies, overfitting/underfitting diagnosis, hyperparameter tuning, LLM evaluation, A/B testing, and production monitoring for model drift.