Generate beads-backed Directed Acyclic Graph implementation plans for multi-agent orchestration.
npx skills add https://github.com/getspur/spur --skill writing-plans-getspur
Please help me install this Agent Skill. Skill: writing-plans Source: https://github.com/getspur/spur/tree/main/.spur/skills/writing-plans Command: npx skills add https://github.com/getspur/spur --skill writing-plans-getspur
This skill solves the operational challenge of turning high-level requirements into a structured, manageable, and parallelizable plan that prevents scope drift and ensures consistent worker output.
Use the writing-plans skill to create an implementation plan for the current feature spec.
High-intent search queries and answers about installing and using this skill.
To break down software specs into parallelizable tasks, this Skill transforms high-level requirements into a structured Directed Acyclic Graph with explicit dependency mapping for multi-agent orchestration.
DAG-based task decomposition converts complex development requirements into a beads-backed Directed Acyclic Graph, mapping dependencies and defining strict file boundaries to prevent scope drift and ensure consistent worker output.
To enforce scope boundaries when dispatching tasks, the generated implementation plan defines strict file boundaries and acceptance criteria for every task, ensuring specialized workers maintain strict focus and consistent output.
Yes, multi-agent orchestration supports test-driven development workflows by generating commit-ready task outputs that satisfy test-driven development requirements within the automated worker routing ecosystem.
You should use directed acyclic graphs for software task breakdown when facing complex development tasks requiring dependency mapping, granular task decomposition, and parallelizable execution to prevent scope drift.
qq824045252-ship-itConvert high-level specs into task-by-task implementation plans with file touchpoints.
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