cosmos3-codebase-nav

Installation
SKILL.md

Cosmos3 Codebase Navigation

When to use this skill

  • Use this skill when an agent is navigating the Cosmos3 package
  • Use this skill to answer "where is X", "how do I find the config for Y", or any file-location question
  • Use this skill when the user opens or edits cosmos3 files and needs orientation

Path convention

All paths below are relative to this file's location (.agents/skills/cosmos3-codebase-nav/). The repo is laid out as:

  • cosmos_framework/ — main training package (data, model, trainer, callbacks, checkpoint, utils, …).
  • cosmos_framework/configs/base/experiment/ — vfm (generator) experiment SKUs referenced by [train.train_policy].experiment in the recipe TOMLs.
  • cosmos_framework/configs/base/reasoner/experiment/ — vlm (reasoner) experiment SKUs.
  • cosmos_framework/inference/ — inference subpackage (args, model, inference engine, defaults, Ray serving, common helpers).
  • cosmos_framework/scripts/ — top-level entry-point scripts (train, inference, eval, export_model, convert_model_to_dcp, upsample_prompts, caption_from_video, captions_to_sft_jsonl, action_policy_server, …). Invoked as python -m cosmos_framework.scripts.<name>.
  • examples/toml/sft_config/<recipe>.toml + examples/launch_sft_<recipe>.sh — paired SFT recipes (training entry-point input). The shell sources examples/_sft_launcher_common.sh, which forwards into cosmos_framework.scripts.train --sft-toml=....
  • cosmos_framework/configs/toml_config/ — pydantic schemas (sft_config.py) and helpers that validate the recipe TOML at load time.
Installs
4
GitHub Stars
431
First Seen
Jul 13, 2026
cosmos3-codebase-nav — nvidia/cosmos-framework