codex
Codex CLI (Non-Interactive)
Codex is OpenAI's coding agent. Use codex exec to run it non-interactively from any cli agent.
When to Use Codex
Use Codex when:
- Parallel work: Delegate a task while continuing other work
- Second opinion: Get an independent implementation or review
- Long-running tasks: Offload tasks that may take many iterations
- Code review: Use
codex exec reviewfor PR/diff reviews
Do NOT use Codex for:
- Simple file reads/edits you can do directly
- Tasks requiring back-and-forth conversation
- Tasks needing your current context
Quick Reference
More from sundial-org/skills
icml-reviewer
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82cs-research-methodology
Conduct a literature review and develop a CS research proposal. Use when asked to review a research area, find gaps in existing work, and propose a novel research contribution. The output is a research proposal identifying an assumption to challenge (the "bit flip") and how to validate it.
58training-data-curation
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
58ai-co-scientist
Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration. Triggers on "research project", "scientific experiment", "run experiments", "AI scientist", "tree search experimentation", "systematic study".
54tinker
Fine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.
53project-referee
Critiques ML conference papers with reviewer-style feedback. Use when users want to anticipate reviewer concerns, identify weaknesses, check claim-evidence gaps, or find missing citations.
51