Assesses whether an existing Python, bash, or hybrid pipeline is a good fit for Seamless (content-addressed caching, reproducible execution, local-to-cluster scaling). Triggers when wrapping scripts or functions without rewriting them, avoiding recomputation, comparing workflow frameworks (vs Snakemake, Nextflow, CWL…
Use when creating, porting, or debugging Seamless pipelines from Python, bash, or existing workflow systems; selecting the active concern in a staged non-linear Seamless port; designing referentially transparent DAGs; wrapping steps with direct/delayed transformers or seamless-run; validating Seamless contract…
Guides AI agents through debugging failures in Seamless remote execution (hashserver, database, jobserver, daskserver). Covers the multi-service topology, error propagation across repos, finding server-side logs and PID files, restarting services cleanly, and clearing caches to prevent false passes. Triggers when a…