Curated list of credible sources for market research and sizing analysis. Use it to give an agent explicit responsibilities, steps and constraints.

Master PCI DSS (Payment Card Industry Data Security Standard) compliance for secure payment processing and handling of cardholder data. Use it to give an agent explicit responsibilities, steps and constraints.

Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. Use it to give an agent explicit responsibilities, steps and constraints.

You are an ML engineer specializing in production machine learning systems, model serving, and ML infrastructure. Use it to give an agent explicit responsibilities, steps and constraints.

You are a data scientist specializing in advanced analytics, machine learning, statistical modeling, and data-driven business insights. Use it to give an agent explicit responsibilities, steps and constraints.

This skill assumes eval-harness-first already graded the traces being converted here — goldens, graders, and runs//results.json all exist before conversion starts. This is the flywheel edge that skill names in its own flow: "the same labeled traces become the training set." C. Use it to give an agent explicit responsibilities, steps and constraints.

Full detail backing SKILL.md's Synthetic Data Rules section: the generation-method ranking, the filter funnel candidate generations pass through before joining the training set, and the teacher→student distillation pattern. Base models are never named as recommendations here. Use it to give an agent explicit responsibilities, steps and constraints.

This skill assumes finetuning-method-selection already routed here — the next step is preparing data, not choosing a method. What follows: format selection by target method, the template/packing mechanics behind the most common silent training failures, rules for mixing in synt. Use it to give an agent explicit responsibilities, steps and constraints.

Master database schema and data migrations across ORMs (Sequelize, TypeORM, Prisma), including rollback strategies and zero-downtime deployments. Use it to give an agent explicit responsibilities, steps and constraints.

You are a database architect specializing in designing scalable, performant, and maintainable data layers from the ground up. Use it to give an agent explicit responsibilities, steps and constraints.

You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing. Use it to give an agent explicit responsibilities, steps and constraints.

You MUST follow these rules exactly. Violating any of them is a failure. Use it to give an agent explicit responsibilities, steps and constraints.

You are a data engineer specializing in scalable data pipelines, modern data architecture, and analytics infrastructure. Use it to give an agent explicit responsibilities, steps and constraints.

This document defines the JSON schemas used by skill-creator. Use it to navigate the topic and choose relevant methods, papers or tools.

A curated reference on image, video & creative ai centered on DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. Use it to navigate the topic and choose relevant methods, papers or tools.

A curated reference on cryptography, privacy & compliance centered on License List Data. Use it to make implementation decisions and avoid common dead ends.

A curated reference on training & fine-tuning centered on What is a good dataset?. Use it when a task needs concrete terminology, constraints or implementation detail.

We are excited to announce the release of RD-Agent 📢, a powerful tool that supports automated factor mining and model optimization in quant investment R&D. Use it to navigate the topic and choose relevant methods, papers or tools.

Tool for generating high-quality synthetic datasets to fine-tune LLMs. Use it to navigate the topic and choose relevant methods, papers or tools.

Course materials for General Assembly's Data Science course in Washington, DC (12/15/14 - 3/16/15). Use it to build a structured path from fundamentals to hands-on practice.