What problem does it solve? Working with swamp models requires knowing the correct CLI commands, YAML definition structure, CEL expression syntax, and validation rules. This Skill guides the AI through the full model lifecycle — discovering types, creating definitions, validating inputs, executing methods, and inspecting outputs — without memorizing command syntax or output shapes. ## Core Features & Use Cases - Type Discovery and Schema Inspection: Search available model types and describe their JSON schemas, methods, and global arguments before creating anything. - Model Lifecycle Management: Create, edit, validate, evaluate, and delete model definitions with enforced rules (never generate IDs, never write YAML from scratch, always scaffold via CLI). - Method Execution and Output Inspection: Run methods with runtime inputs, stdin piping, NDJSON batch runs, and pre-flight check controls, then inspect outputs, logs, and data artifacts. - Use Case: You need to look up your default AWS VPC and feed its ID into another model. Use this Skill to create a command/shell model, run its execute method, and reference the result via a CEL expression in a downstream model. ## Quick Start Ask the AI to search for a swamp model type, describe its schema, and create and run a model of that type with your desired inputs.
