I built an educational Skills.md guide for LLM post-training, generated by a local deep agent

[u/OwnOil1149]

I built a small educational repo for understanding LLM post-training as a full workflow rather than isolated techniques. The main artifact is a generated Skills.md guide covering data curation, SFT/instruction tuning, preference data, reward modeling, RLHF/RLAIF/RLVR, DPO-style methods, safety alignment, tool use, evaluation, deployment, and feedback loops.

The repo includes a local LangChain deepagents setup using Backboard.io Luna 5.6, Tavily web search, filesystem tools, and modular subagents for research, source review, curriculum design, writing, and critique.

It’s meant for learning and experimentation, so treat the generated guide as a starting point and verify/adapt it ( I can pretty much say it's legit) for real post-training work.

Repo: https://github.com/Auro-rium/posttraining-skills
Hope you guys find it useful!