spec-to-tasks

Yes, you can automate project task planning by running the spec_to_tasks.py script. It extracts atomic tasks and dependencies from your feature specifications to produce a ready-to-run JSON configuration for Ralph Loop execution.

The best way to extract dependencies and phases from feature specifications is using an automated parser. This Skill identifies atomic tasks, dependencies, and phases within Markdown tables and task blocks to organize workflow steps systematically.

You generate a tasks.json file by running: uv run spec_to_tasks.py [spec_path] [output_path]. The script reads and validates your SPEC.md acceptance criteria, outputting a ready-to-run configuration for Ralph Loop automation in software development pipelines.

Yes, your SPEC.md files require specific formatting. The parser expects structured Markdown tables, task blocks, and acceptance criteria to successfully extract feature descriptions, identify atomic tasks, and map dependency chains for output generation.

Yes, you can use this spec parser without external dependencies. It independently reads and validates SPEC.md files to generate structured task lists, requiring only the uv run command to execute the spec_to_tasks.py script for output generation.