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…
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference…
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model…
Scalable data processing for ML workloads.
Guides researchers through structured ideation frameworks to discover high-impact research directions.
Add PostHog LLM analytics to trace AI model usage.
Process and generate multimedia content using Google Gemini API.
Analyzes pipeline coverage, tracks forecast accuracy with MAPE, and calculates GTM efficiency metrics for SaaS revenue optimization
Brand monitoring tool for tracking mentions across social media platforms.
Weekly engineering retrospective with persistent metrics — commit patterns, work sessions, code-quality trends.
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards.
Create a refreshable live operations artifact for customer success, support, or launch review workflows.
Analyze and engineer protein glycosylation.
Use when asked to analyze a funnel, find where users drop off, diagnose low conversion or activation rates, design a metrics framework…
Metrics architecture — produce a complete metrics plan given a product description.
Product analyst — metrics architecture, funnel analysis, A/B test design, retention, and growth measurement.
OKR trees, KPI dashboards, North Star Metric, leading/lagging indicators, and experiment design.
Monitor and manage your OpenCode tasks using helper scripts.
Check session status and measure goal drift