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State\u002Ftransition definitions, guards, actions, spawned child actors, and agent state visualization. Sources: statelyai\u002Fxstate (MIT).\norigin: yana-ai — synthesized from statelyai\u002Fxstate (MIT)\nlicense: Apache-2.0\nversion: 1.0.0\ncompatibility: yana-ai >= 1.3.50\n---\n\n# \u002Fxstate-actor-model\n\n## When to Use\n\n- Model agent lifecycle explicitly: idle → running → awaiting-approval → isolated → stopped\n- Prevent illegal state transitions (e.g., agent cannot run while isolated)\n- Spawn child actors per task with isolated state machines\n- Visualize agent state transitions for audit\u002Fdebugging\n\n## Do NOT use for\n\n- Simple boolean flags (on\u002Foff, enabled\u002Fdisabled)\n- High-frequency event loops where FSM overhead is measurable\n\n---\n\n## Agent lifecycle state machine\n\n```typescript\nimport { createMachine, createActor, assign } from 'xstate'\n\nconst agentMachine = createMachine({\n  id:      'agent',\n  initial: 'idle',\n  context: { taskId: null as string | null, retries: 0 },\n\n  states: {\n    idle: {\n      on: { START: { target: 'running', actions: assign({ taskId: ({ event }) => event.taskId }) } },\n    },\n\n    running: {\n      on: {\n        COMPLETE:       'idle',\n        NEEDS_APPROVAL: 'awaiting-approval',\n        ERROR:          { target: 'running', guard: ({ context }) => context.retries \u003C 3,\n                          actions: assign({ retries: ({ context }) => context.retries + 1 }) },\n        FATAL:          'isolated',\n      },\n    },\n\n    'awaiting-approval': {\n      on: {\n        APPROVED: 'running',\n        DENIED:   'isolated',\n        TIMEOUT:  'isolated',\n      },\n    },\n\n    isolated: {\n      type: 'final',\n      entry: [() => console.log('[xstate] agent isolated — requires human review')],\n    },\n  },\n})\n\nconst actor = createActor(agentMachine)\nactor.subscribe(snapshot => {\n  console.log('[xstate] state:', snapshot.value, '| context:', snapshot.context)\n})\nactor.start()\nactor.send({ type: 'START', taskId: 'task-42' })\nactor.send({ type: 'NEEDS_APPROVAL' })\nactor.send({ type: 'APPROVED' })\nactor.send({ type: 'COMPLETE' })\n```\n\n---\n\n## Guards (conditional transitions)\n\n```typescript\nconst machine = createMachine({\n  \u002F\u002F ...\n  states: {\n    running: {\n      on: {\n        ESCALATE: {\n          target: 'escalated',\n          guard: ({ context }) => context.trustScore \u003C 50,\n        },\n      },\n    },\n  },\n})\n```\n\n---\n\n## Spawned child actor (task isolation)\n\n```typescript\nimport { spawnChild, stopChild } from 'xstate'\n\nconst parentMachine = createMachine({\n  context: { taskActor: null as any },\n  states: {\n    active: {\n      on: {\n        SPAWN_TASK: {\n          actions: assign({\n            taskActor: ({ spawn }) => spawn(taskMachine, { id: 'task' }),\n          }),\n        },\n        STOP_TASK: {\n          actions: [\n            stopChild(({ context }) => context.taskActor),\n            assign({ taskActor: null }),\n          ],\n        },\n      },\n    },\n  },\n})\n```\n\n---\n\n## Persist and restore state\n\n```typescript\n\u002F\u002F Persist snapshot to disk\nconst snapshot = actor.getSnapshot()\nconst persisted = JSON.stringify(snapshot)\nawait writeFile('agent-state.json', persisted)\n\n\u002F\u002F Restore on startup\nconst saved    = JSON.parse(await readFile('agent-state.json', 'utf8'))\nconst restored = createActor(agentMachine, { snapshot: agentMachine.resolveState(saved) })\nrestored.start()\nconsole.log('[xstate] restored to:', restored.getSnapshot().value)\n```\n\n---\n\n## Anti-Fake-Pass Checklist\n\n```\n❌ Sending events before actor.start() → events silently dropped\n❌ Missing guard on retry loop → agent retries forever without a ceiling\n❌ final state receives events → events after final are silently ignored; check state before sending\n❌ assign() with mutation instead of pure function → context mutation breaks time-travel debugging\n❌ Spawned actors not stopped on parent stop → memory leak from orphaned child actors\n❌ Serializing actor (not snapshot) → actor contains callbacks, not serializable\n```\n","# \u002Fxstate-actor-model\n\n## When to Use\n\n- Model agent lifecycle explicitly: idle → running → awaiting-approval → isolated → stopped\n- Prevent illegal state transitions (e.g., agent cannot run while isolated)\n- Spawn child actors per task with isolated state machines\n- Visualize agent state transitions for audit\u002Fdebugging\n\n## Do NOT use for\n\n- Simple boolean flags (on\u002Foff, enabled\u002Fdisabled)\n- High-frequency event loops where FSM overhead is measurable\n\n---\n\n## Agent lifecycle state machine\n\n```typescript\nimport { createMachine, createActor, assign } from 'xstate'\n\nconst agentMachine = createMachine({\n  id:      'agent',\n  initial: 'idle',\n  context: { taskId: null as string | null, retries: 0 },\n\n  states: {\n    idle: {\n      on: { START: { target: 'running', actions: assign({ taskId: ({ event }) => event.taskId }) } },\n    },\n\n    running: {\n      on: {\n        COMPLETE:       'idle',\n        NEEDS_APPROVAL: 'awaiting-approval',\n        ERROR:          { target: 'running', guard: ({ context }) => context.retries \u003C 3,\n                          actions: assign({ retries: ({ context }) => context.retries + 1 }) },\n        FATAL:          'isolated',\n      },\n    },\n\n    'awaiting-approval': {\n      on: {\n        APPROVED: 'running',\n        DENIED:   'isolated',\n        TIMEOUT:  'isolated',\n      },\n    },\n\n    isolated: {\n      type: 'final',\n      entry: [() => console.log('[xstate] agent isolated — requires human review')],\n    },\n  },\n})\n\nconst actor = createActor(agentMachine)\nactor.subscribe(snapshot => {\n  console.log('[xstate] state:', snapshot.value, '| context:', snapshot.context)\n})\nactor.start()\nactor.send({ type: 'START', taskId: 'task-42' })\nactor.send({ type: 'NEEDS_APPROVAL' })\nactor.send({ type: 'APPROVED' })\nactor.send({ type: 'COMPLETE' })\n```\n\n---\n\n## Guards (conditional transitions)\n\n```typescript\nconst machine = createMachine({\n  \u002F\u002F ...\n  states: {\n    running: {\n      on: {\n        ESCALATE: {\n          target: 'escalated',\n          guard: ({ context }) => context.trustScore \u003C 50,\n        },\n      },\n    },\n  },\n})\n```\n\n---\n\n## Spawned child actor (task isolation)\n\n```typescript\nimport { spawnChild, stopChild } from 'xstate'\n\nconst parentMachine = createMachine({\n  context: { taskActor: null as any },\n  states: {\n    active: {\n      on: {\n        SPAWN_TASK: {\n          actions: assign({\n            taskActor: ({ spawn }) => spawn(taskMachine, { id: 'task' }),\n          }),\n        },\n        STOP_TASK: {\n          actions: [\n            stopChild(({ context }) => context.taskActor),\n            assign({ taskActor: null }),\n          ],\n        },\n      },\n    },\n  },\n})\n```\n\n---\n\n## Persist and restore state\n\n```typescript\n\u002F\u002F Persist snapshot to disk\nconst snapshot = actor.getSnapshot()\nconst persisted = JSON.stringify(snapshot)\nawait writeFile('agent-state.json', persisted)\n\n\u002F\u002F Restore on startup\nconst saved    = JSON.parse(await readFile('agent-state.json', 'utf8'))\nconst restored = createActor(agentMachine, { snapshot: agentMachine.resolveState(saved) })\nrestored.start()\nconsole.log('[xstate] restored to:', restored.getSnapshot().value)\n```\n\n---\n\n## Anti-Fake-Pass Checklist\n\n```\n❌ Sending events before actor.start() → events silently dropped\n❌ Missing guard on retry loop → agent retries forever without a ceiling\n❌ final state receives events → events after final are silently ignored; check state before sending\n❌ assign() with mutation instead of pure function → context mutation breaks time-travel debugging\n❌ Spawned actors not stopped on parent stop → memory leak from orphaned child actors\n❌ Serializing actor (not snapshot) → actor contains callbacks, not serializable\n```\n",{},"main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa","core\u002Fskills\u002Fxstate-actor-model",2,"https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI","https:\u002F\u002Fyana.vutam.link\u002F","https:\u002F\u002Fgithub.com\u002FHoronomos-laps","https:\u002F\u002Fyana.vutam.link","An open-source governed runtime & execution environment for multi-agent AI systems.","2026-11-12 23:12:27",{"source":7,"skillName":5,"commands":34,"prompt":44,"zipAvailable":45},[35,38,41],{"tool":36,"command":37},"npx","npx skills add Horonomos-laps\u002FYana-AI --skill xstate-actor-model",{"tool":39,"command":40},"bunx","bunx skills add Horonomos-laps\u002FYana-AI --skill xstate-actor-model",{"tool":42,"command":43},"pnpm","pnpm dlx skills add Horonomos-laps\u002FYana-AI --skill xstate-actor-model","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fxstate-actor-model\u002FSKILL.md",true,[],[48,56,63,71,79,87],{"skillNo":49,"name":50,"nameZh":6,"description":51,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":52,"licenseFileUrl":6,"sourceHtmlUrl":53,"categories":54,"keywords":55,"publishedAt":18},"01M735GKET5YVYKAY62W2P5YXB","openai--sentry--sentry","Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; 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