analytics-interpretation
Analyze GA4 and GSC performance data with automated benchmarks, status indicators, and actionable content optimization insights.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
205 skills found
Analyze GA4 and GSC performance data with automated benchmarks, status indicators, and actionable content optimization insights.
Master DP patterns with complete implementations for memoization, tabulation, and state design for production-ready solutions.
Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.
Accelerate clinical and healthcare app development in Lovable. Perfect for OpenClaw Clinical Hackathon participants building MVPs with PHI-safe patterns.
Transform raw data into compelling, decision-driving narratives using visualization strategies, story frameworks, and persuasive structures for analytics and executive reporting.
Designer's eye QA: detects and automates fixes for visual inconsistencies, spacing, hierarchy, and UI polish issues. Iteratively verifies with before/after screenshots.
Specialized data engineering agent for designing ETL/ELT pipelines, defining data schemas, managing data quality, and implementing robust ingestion workflows.
Collaborative UI design, wireframing, and Tailwind-first code polish to build distinctive, high-quality interfaces without AI slop.
Find, review, and remove duplicate or near-duplicate images in FiftyOne datasets using computer vision similarity embeddings.
Pre-implementation confidence assessment tool for developers. Ensures 90%+ readiness via duplicate checks, architecture compliance, official docs verification, and root cause analysis.
Rigorous research skill that enforces source verification via WebFetch and content analysis to prevent hallucinated citations.
Comprehensive Python healthcare AI toolkit for clinical data processing, medical coding translation, and developing deep learning models like RETAIN and Transformers for EHR, physiological signals, and clinical prediction tasks.