docs: add konfai-cli skill and fix AGENTS.md workspace/trust drifts - #22
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Add a KonfAI command-line usage skill covering both public CLI surfaces: the `konfai` engine (TRAIN/RESUME/PREDICTION/EVALUATION) and the `konfai-apps` packaged-app runtime. Ships a playbook plus references for the CLI, config authoring, verified Segmentation/Synthesis recipes, the workspace/runtime model, and the apps layer (resolution + trust model).
The runtime writes no `Setups/` directory (the resolved-config snapshot lives in `Statistics/`), and `Dataset/` is the input data dir, not a run output. App resolution copies+imports .py (arbitrary code) unconditionally, but the requirements.txt pip-install is opt-in (install_requirements, off by default).
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Summary
Adds a KonfAI command-line usage skill and corrects two factual drifts in
AGENTS.md. Docs-only — no runtime code changes..claude/skills/konfai-cli/A usage guide for driving KonfAI from the terminal, covering both public command-line surfaces:
konfai— author a YAML config, thenTRAIN/RESUME/PREDICTION/EVALUATION.konfai-apps— run a packaged model (infer/eval/uncertainty/pipeline/fine-tune/bundle/download) and serve it withkonfai-apps-server.SKILL.md(playbook) plus references:cli-reference.md— everykonfai/konfai-clustersubcommand and flagconfig-authoring.md— the three files, root keys, classpath resolution, the reading-a-config-rewrites-it invariantexamples-and-recipes.md— the verified Segmentation and Synthesis train → predict → evaluate recipesworkspace-and-runtime.md— outputs keyed bytrain_name, env vars, DDP, SLURM, config modesapps-layer.md—konfai-appsresolution (Local / HuggingFace / Remote), the trust model, and the publishedapps/*bundlesEvery command, flag, default, env var, and the workspace layout were checked against
konfai/main.py,konfai/utils/config.py,konfai/utils/runtime.py, thekonfai-appspackage, and the example READMEs.AGENTS.mdfixesSetups/directory (grep -rn Setups konfai/returns nothing); the resolved-config snapshot lives inStatistics/<train_name>/.Dataset/is the input data directory, not a run output..pyfiles (arbitrary code) unconditionally, but therequirements.txtpip-install is opt-in (install_requirements=Falseby default) — not automatic.