---

name: execution-config description: "Install PocketFlow, validate path.conf, preview safe launcher commands, inspect runtime prerequisites, and troubleshoot execution modes." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

execution-config

Use this sub-skill for PocketFlow setup, launch plumbing, and safe command previews.

Route here when the task involves

• editing or validating path.conf / path.conf.template
• previewing local, Docker, or Seven launcher arguments
• checking TensorFlow 1.x, GPU, Horovod, or TF-Plus availability
• staging a minimal isolated copy for container or cluster packaging
• converting AutoML hparams or parsing AutoML results

Route elsewhere when the task is about

• learner selection, pruning, quantization, distillation, or RL tuning: ../compression-learners/SKILL.md
• custom ModelHelper / Dataset code or built-in model/data wiring: ../custom-models-data/SKILL.md
• checkpoint export, PB/TFLite conversion, or inference benchmarking: ../deployment-conversion/SKILL.md

Start with

• references/configuration.md
• references/execution-modes.md
• references/automl.md
• references/troubleshooting.md

Bundled helpers

• scripts/validate_path_conf.py — validate a PocketFlow-style path config and preview launcher args without running training
• scripts/check_runtime.py — inspect TensorFlow 1.x, contrib.lite, GPU, Horovod, and TF-Plus readiness
• scripts/create_minimal_copy.sh — create an isolated minimal copy from explicit source and target paths
• scripts/cvt_automl_hparams.py — convert AutoML hparam files into PocketFlow CLI flags
• scripts/parse_automl_results.py — convert TensorFlow log output into AutoML result fields

These helpers are deterministic and safe by default; they do not download data or launch training.