pipeline-manifest

To document research script data flow, you can generate a pipeline manifest that maps project scripts to their specific inputs, outputs, and paper figures. This systematically scans code files to infer read/write operations and produces a comprehensive `pipeline.md` document.

Yes, you can map scripts to specific paper figures and tables by scanning project directories for code files. The process infers data flow through pattern matching on read/write operations to detail execution order and paper linkages in a `pipeline.md` file.

Tracking execution order and dependencies in a research workflow is done by building a pipeline manifest that scans your project directories. It infers data flow through pattern matching on read and write operations, generating a `pipeline.md` document detailing dependencies.

To standardize metadata for scripts lacking structured documentation, you can optionally inject structured headers into your code files. This standardizes script metadata across the project before generating the final pipeline manifest.

Generating a pipeline manifest requires no external dependencies, operating directly on your project directories. It scans the existing code files to infer dependencies and data flow, making it suitable for standard research workflow environments.

You should avoid using an automated pipeline manifest if your project's data flow cannot be accurately inferred through pattern matching on read and write operations. Complex or non-standard scripting patterns may limit the accuracy of the generated `pipeline.md` document.