Standardize coding agent task lifecycle management with a status state machine and label vocabulary.
npx skills add https://github.com/getspur/spur --skill beads-lifecycle
Please help me install this Agent Skill. Skill: beads-lifecycle Source: https://github.com/getspur/spur/tree/main/.spur/skills/beads-lifecycle Command: npx skills add https://github.com/getspur/spur --skill beads-lifecycle
This skill eliminates ambiguity in brain-worker collaboration by enforcing a strict state machine and label vocabulary for issues, preventing status drift and communication gaps.
Use the beads-lifecycle skill to transition the current issue to in_progress and assign the appropriate worker agent.
High-intent search queries and answers about installing and using this skill.
Enforce a consistent issue state machine for coding agent orchestration by applying a defined status FSM and structured label vocabulary. This standardizes lifecycle management and prevents status drift during brain-worker collaboration.
Standardize communication between planning brains and worker agents by enforcing transition rules and signal semantics. This structured label vocabulary ensures reliable orchestration and full auditability of agent tasks.
Handle a worker agent blocker during automated workflow execution by emitting the correct signal and applying the designated label. This guides the planning brain to intervene effectively without manual status tracking.
Yes, you can transition an issue to in_progress and assign it to a specific worker agent. The skill provides deterministic transition paths from draft to closed, ensuring all participants understand the current workflow stage.
Status drift occurs in agent orchestration due to ambiguous communication and unstructured issue tracking. Prevent it by enforcing a strict state machine and label semantics, which eliminates communication gaps between planning brains and workers.
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