google-sheets-decomposition

Decomposition converts complex spreadsheet requests into atomic micro-sprints with explicit dependencies and success criteria. This approach orders tasks using dependency graphs and topological sorting, enabling stepwise refinement and traceable execution across schema, data, formula, formatting, integration, and automation work.

Dependency graphs visualize task relationships and enforce a DAG-based ordering that respects prerequisites. This generates a structured JSON summary with sprints ordered by dependency, ensuring later tasks never block earlier ones and all success criteria are testable.

Yes. The decomposition process enforces sprint limits and max operations per sprint while budgeting API calls across all sprints. This ensures your request stays within quota while breaking work into independently executable units with clear success metrics.

Each sprint in the output includes testable success criteria tied to its specific task—schema validation, data integrity, formula correctness, or integration completion. Structured JSON output captures all sprints, dependencies, and criteria for verification and downstream execution.

Decompose when requests span multiple domains—combining schema changes, data migrations, formula logic, and automation integrations. Splitting into sprints reduces failure scope, enables parallel validation, and makes debugging and rollback easier than monolithic execution.