Decompose complex requirements into prioritized JSON plans and task-board.md files with API contracts.
npx skills add https://github.com/magisph/rv-adv --skill pm-agent-magisph
Please help me install this Agent Skill. Skill: pm-agent Source: https://github.com/magisph/rv-adv/tree/main/.agent/skills/pm-agent Command: npx skills add https://github.com/magisph/rv-adv --skill pm-agent-magisph
This Skill breaks down complex feature requests and product requirements into manageable, actionable tasks, complete with priorities and dependencies, ensuring efficient project planning and execution.
Use the pm-agent to break down the requirement "Create a user authentication system with email and password login".
High-intent search queries and answers about installing and using this skill.
To decompose complex product requirements into actionable tasks, you can input a high-level feature request to generate a granular task list. The output defines priorities and dependencies, ensuring each task is small enough for single-agent execution.
API-first design in project planning involves defining clear interface contracts before any implementation begins. This approach ensures structured sprint planning by establishing data boundaries and dependencies upfront, preventing integration bottlenecks later.
Mapping task dependencies during requirement decomposition organizes your workflow by linking sequential and parallel tasks. The generated plan automatically defines these relationships, optimizing the execution order for backend API development and frontend UI implementation.
Yes, you can use requirement decomposition to plan both backend API development and frontend UI implementation. By inputting a feature request, the output generates a comprehensive plan that separates backend contracts from frontend tasks while mapping their dependencies.
The best way to structure tasks for single-agent execution is to ensure each decomposed task is granular and self-contained. This method generates a JSON plan and a task-board file, keeping actions focused and compatible with orchestrator workflows.
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