Orchestrates continuous WORK, PLAY, and PLAN sprint cycles across a fixed agent chain.
npx skills add https://github.com/krystophny/prompts --skill multisprint
Please help me install this Agent Skill. Skill: multisprint Source: https://github.com/krystophny/prompts/tree/main/skills/multisprint Command: npx skills add https://github.com/krystophny/prompts --skill multisprint
Continuous sprint cycles coordinate WORK -> PLAY -> PLAN loops, enabling extended autonomous development sessions without manual prompts, ensuring momentum and issue handling across iterations.
Start multisprint mode and let the system cycle WORK, PLAY, and PLAN phases continuously until you stop it.
High-intent search queries and answers about installing and using this skill.
Automating continuous sprint cycles is achieved by orchestrating infinite WORK, PLAY, and PLAN loops across a defined agent chain. This sustains development momentum and handles issues across iterations without requiring manual prompts between phases.
The WORK-PLAY-PLAN mechanism enforces strict phase isolation with automatic transitions between implementation, testing, and planning. It coordinates a fixed agent chain for each phase to maintain disciplined iterations during extended autonomous development sessions.
To start endless sprint cycles for backlog management, you initiate the multisprint mode and let the system automatically cycle through WORK, PLAY, and PLAN phases continuously. The system progresses autonomously until you explicitly issue an interruption to stop.
Yes, automatic phase transitions are designed specifically for extended development sessions without manual prompts. The orchestration applies a fixed agent chain to each phase and includes explicit interruption guardrails to ensure only the user can trigger an emergency stop.
The primary limitation of running infinite agile sprint loops is that the continuous cycle requires an explicit user interruption to stop. The system enforces phase isolation and automatic progression, meaning it will sustain momentum indefinitely until manually halted.
Multisprint mode orchestrates a fixed agent chain for each phase rather than supporting custom agent configurations. WORK, PLAY, and PLAN phases each have predefined agent sequences to ensure disciplined progression and consistent autonomous development.
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