deep-work

To automate the execution of long, complex development tasks, this skill orchestrates a workflow that clarifies requirements through a dig mechanism and then autonomously progresses using planning-with-files and a ralph-loop. It enables continuous progress with minimal user input.

Orchestrating autonomous workflows for planning-heavy research is achieved by applying a structured plugin chain that extracts goals and constraints, then coordinates iterative work with planning-with-files. This ensures deterministic task progression and guarded termination based on explicit completion criteria.

Requirement clarification works by engaging structured prompts to extract goals, constraints, and completion criteria before autonomous execution begins. This ensures the subsequent ralph-loop coordinates iterative work with a precise understanding of the functional requirements.

You can safely pause or halt task automation during long-running complex processes using explicit stop signals. This controlled cancellation and safe termination mechanism allows you to halt or pause the autonomous ralph-loop execution if needed.

You do not need external dependencies to run autonomous task orchestration, as the skill operates with zero dependencies. However, it internally relies on the dig, planning-with-files, and ralph-loop plugin chain to organize progress and advance tasks.