Use LlamaCloud Services when an operator needs a managed LlamaIndex path for turning files into parsed, indexed, agent-ready knowledge. The workflow is to configure the LlamaCloud client, submit documents or datasets, run parsing and extraction, create or update indexes, and expose the resulting knowledge to retrieval agents or downstream review. Operators can monitor ingestion status, retry failed files, compare parsed output against source documents, and refresh indexes when source material changes. This belongs in ASE because the repeatable skill is not the cloud product by itself: it is the operator pipeline for moving documents through parsing, indexing, and retrieval handoff with source-backed setup. Invoke it instead of using the service manually when agents need a reproducible ingestion path that can be rerun, monitored, and connected to LlamaIndex applications. Keep the boundary at document knowledge operations, not broad cloud account administration. Document the source collection, parsing settings, index target, and downstream retrieval consumer for each run.