Fair comparison methodology, controlling for hardware, citing published baselines, statistical significance in benchmarks. Use when designing experiments that compare systems or algorithms, or when reviewing benchmark results for publication.
EnglishFollow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC. Use for point-in-time (PIT) correctness, Arrow schemas, quality checks, and Prefect orchestration.
English
AGENT SKILLS ATLASIncludes Academic Benchmarking and Data Pipeline Patterns.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Academic Benchmarking
Fair comparison methodology, controlling for hardware, citing published baselines, statistical significance in benchmarks. Use when designing experiments that compare systems or algorithms, or when reviewing benchmark results for publication.
Data Pipeline Patterns
Follow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC. Use for point-in-time (PIT) correctness, Arrow schemas, quality checks, and Prefect orchestration.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Academic Benchmarking skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: GPL-3.0. The author’s terms apply.