Generates and renders interactive data visualizations across 20+ chart types using AI-friendly GPT-Vis syntax for modern web frameworks.
This skill should be used when the user asks about "my balance", "portfolio", "token holdings", "check balance", "how much do I have"…
Map AI cost topology — billing attribution, team-level spend, forecast vs actuals, alert gaps.
Build and evaluate classification models for supervised learning tasks
Set up comprehensive observability for Cohere API v2 with metrics, traces,
Kokoro TTS health check. TRIGGERS - kokoro health, tts health, kokoro status.
Automated TAM/SAM/SOM calculations with methodology documentation
Analyze Rails code for performance issues, optimize queries, identify bottlenecks, and ensure scalability.
Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework.
XBRL financial statement tagging and SEC filing preparation skill
LLM observability platform for tracing, evaluation, and monitoring.
Process and generate multimedia content using Google Gemini API.
Analytics engineering across data modeling, dbt, transformation, and semantic layers.
Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions.
Analyzes pipeline coverage, tracks forecast accuracy with MAPE, and calculates GTM efficiency metrics for SaaS revenue optimization
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights.
Reference components for generating Kubernetes operator CRD dashboards
Add product analytics events to track user interactions in the Metabase frontend
Pydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.
A/B test design — produce an experiment spec with hypothesis, primary metric, MDE, sample size, run time, and decision rule.
Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics…