[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73GQB9VPVXHP751TC85KXCB":3,"skill-same:01M73GQB9VPVXHP751TC85KXCB":47},{"skillNo":4,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":23,"commitSha":24,"skillDirectory":25,"forksCount":26,"repositoryHtmlUrl":27,"repositoryHomepageUrl":28,"ownerHtmlUrl":29,"ownerBlogUrl":30,"ownerDescription":31,"updatedAt":32,"install":33,"resources":46},"01M73GQB9VPVXHP751TC85KXCB","yjs-crdt-sync",null,"Horonomos-laps\u002FYana-AI","Horonomos-laps","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F355299122?v=4","01M76B3QPXE88ET2SQPDPVATZT"," Horonomos-laps","01M72ZQRJPCYPSSWT4D00VJR2A",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fyjs-crdt-sync\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: yjs-crdt-sync\ndescription: Yjs CRDT shared types for conflict-free real-time multi-agent data sync. Y.Map\u002FY.Array\u002FY.Text operations, awareness protocol, WebSocket provider, and offline-first merge semantics. Sources: yjs\u002Fyjs (MIT).\norigin: yana-ai — synthesized from yjs\u002Fyjs (MIT)\nlicense: Apache-2.0\nversion: 1.0.0\ncompatibility: yana-ai >= 1.3.50\n---\n\n# \u002Fyjs-crdt-sync\n\n## When to Use\n\n- Multiple agents write to a shared config\u002Fstate simultaneously without conflicts\n- Real-time collaborative agent task queues: any agent can push\u002Fpop, merges automatically\n- Offline-first: agent works disconnected, sync resumes on reconnect without data loss\n- Shared Y.Text: agents collaboratively edit a document (e.g., shared code review)\n\n## Do NOT use for\n\n- Strong consistency (use [[etcd-distributed-config]])\n- Append-only audit logs (use [[append-only-hypercore]])\n\n---\n\n## Shared Y.Map (config sync)\n\n```javascript\nimport * as Y from 'yjs'\nimport { WebsocketProvider } from 'y-websocket'\n\nconst doc      = new Y.Doc()\nconst config   = doc.getMap('agent-config')\n\n\u002F\u002F Connect to sync server\nconst provider = new WebsocketProvider('ws:\u002F\u002Flocalhost:1234', 'yamtam-swarm', doc)\n\nprovider.on('status', ({ status }) => console.log('[yjs]', status))\n\n\u002F\u002F Write (merges automatically with concurrent writes from other agents)\nconfig.set('model-tier', 'power')\nconfig.set('max-tokens',  8000)\n\n\u002F\u002F Read\nconsole.log('[yjs] tier:', config.get('model-tier'))\n\n\u002F\u002F Observe changes (from any agent, including remote)\nconfig.observe((event) => {\n  event.changes.keys.forEach((change, key) => {\n    if (change.action === 'add' || change.action === 'update') {\n      console.log(`[yjs] ${key} →`, config.get(key))\n    }\n  })\n})\n```\n\n---\n\n## Shared Y.Array (task queue)\n\n```javascript\nconst taskQueue = doc.getArray('task-queue')\n\n\u002F\u002F Any agent can push without conflict\ntaskQueue.push([{ id: 'task-1', tool: 'bash', priority: 2 }])\n\n\u002F\u002F Pop from front (claim a task)\ndoc.transact(() => {\n  if (taskQueue.length > 0) {\n    const task = taskQueue.get(0)\n    taskQueue.delete(0, 1)\n    console.log('[yjs] claimed task:', task)\n  }\n})\n\n\u002F\u002F Observe additions from other agents\ntaskQueue.observe((event) => {\n  event.changes.added.forEach(item => {\n    console.log('[yjs] new task:', item.content.getContent())\n  })\n})\n```\n\n---\n\n## Offline sync (encode\u002Fdecode state vector)\n\n```javascript\n\u002F\u002F Agent A: encode current state to share with Agent B\nconst stateVector  = Y.encodeStateVector(doc)\nconst stateAsBytes = Y.encodeStateAsUpdate(doc)\n\n\u002F\u002F Agent B: apply missing updates\nconst update = Y.encodeStateAsUpdate(docA, Y.decodeStateVector(docB))\nY.applyUpdate(docB, update)\n\n\u002F\u002F Both docs are now identical — order of apply doesn't matter (CRDT)\n```\n\n---\n\n## Awareness (presence: which agents are online)\n\n```javascript\nimport { Awareness } from 'y-protocols\u002Fawareness'\n\nconst awareness = provider.awareness\n\n\u002F\u002F Set local agent state\nawareness.setLocalState({\n  agentId: process.env.YAMTAM_AGENT_ID,\n  status:  'running',\n  tier:    'power',\n})\n\n\u002F\u002F Get all online agents\nawareness.on('change', () => {\n  const states = [...awareness.getStates().values()]\n  console.log('[yjs] online agents:', states.map(s => s.agentId))\n})\n```\n\n---\n\n## Anti-Fake-Pass Checklist\n\n```\n❌ Not wrapping concurrent mutations in doc.transact() → multiple observers fire per sub-change\n❌ Y.Array.delete() outside transaction → partial delete visible to observers mid-operation\n❌ Y.Doc without unique clientID per agent → two agents collide on same clientID, merge broken\n❌ WebsocketProvider without reconnect handling → disconnects silently, sync stops\n❌ Comparing Y.Map values with === → values are shared types; use .toJSON() for comparison\n❌ applyUpdate() without try\u002Fcatch → malformed update (from untrusted peer) throws and crashes\n```\n","# \u002Fyjs-crdt-sync\n\n## When to Use\n\n- Multiple agents write to a shared config\u002Fstate simultaneously without conflicts\n- Real-time collaborative agent task queues: any agent can push\u002Fpop, merges automatically\n- Offline-first: agent works disconnected, sync resumes on reconnect without data loss\n- Shared Y.Text: agents collaboratively edit a document (e.g., shared code review)\n\n## Do NOT use for\n\n- Strong consistency (use [[etcd-distributed-config]])\n- Append-only audit logs (use [[append-only-hypercore]])\n\n---\n\n## Shared Y.Map (config sync)\n\n```javascript\nimport * as Y from 'yjs'\nimport { WebsocketProvider } from 'y-websocket'\n\nconst doc      = new Y.Doc()\nconst config   = doc.getMap('agent-config')\n\n\u002F\u002F Connect to sync server\nconst provider = new WebsocketProvider('ws:\u002F\u002Flocalhost:1234', 'yamtam-swarm', doc)\n\nprovider.on('status', ({ status }) => console.log('[yjs]', status))\n\n\u002F\u002F Write (merges automatically with concurrent writes from other agents)\nconfig.set('model-tier', 'power')\nconfig.set('max-tokens',  8000)\n\n\u002F\u002F Read\nconsole.log('[yjs] tier:', config.get('model-tier'))\n\n\u002F\u002F Observe changes (from any agent, including remote)\nconfig.observe((event) => {\n  event.changes.keys.forEach((change, key) => {\n    if (change.action === 'add' || change.action === 'update') {\n      console.log(`[yjs] ${key} →`, config.get(key))\n    }\n  })\n})\n```\n\n---\n\n## Shared Y.Array (task queue)\n\n```javascript\nconst taskQueue = doc.getArray('task-queue')\n\n\u002F\u002F Any agent can push without conflict\ntaskQueue.push([{ id: 'task-1', tool: 'bash', priority: 2 }])\n\n\u002F\u002F Pop from front (claim a task)\ndoc.transact(() => {\n  if (taskQueue.length > 0) {\n    const task = taskQueue.get(0)\n    taskQueue.delete(0, 1)\n    console.log('[yjs] claimed task:', task)\n  }\n})\n\n\u002F\u002F Observe additions from other agents\ntaskQueue.observe((event) => {\n  event.changes.added.forEach(item => {\n    console.log('[yjs] new task:', item.content.getContent())\n  })\n})\n```\n\n---\n\n## Offline sync (encode\u002Fdecode state vector)\n\n```javascript\n\u002F\u002F Agent A: encode current state to share with Agent B\nconst stateVector  = Y.encodeStateVector(doc)\nconst stateAsBytes = Y.encodeStateAsUpdate(doc)\n\n\u002F\u002F Agent B: apply missing updates\nconst update = Y.encodeStateAsUpdate(docA, Y.decodeStateVector(docB))\nY.applyUpdate(docB, update)\n\n\u002F\u002F Both docs are now identical — order of apply doesn't matter (CRDT)\n```\n\n---\n\n## Awareness (presence: which agents are online)\n\n```javascript\nimport { Awareness } from 'y-protocols\u002Fawareness'\n\nconst awareness = provider.awareness\n\n\u002F\u002F Set local agent state\nawareness.setLocalState({\n  agentId: process.env.YAMTAM_AGENT_ID,\n  status:  'running',\n  tier:    'power',\n})\n\n\u002F\u002F Get all online agents\nawareness.on('change', () => {\n  const states = [...awareness.getStates().values()]\n  console.log('[yjs] online agents:', states.map(s => s.agentId))\n})\n```\n\n---\n\n## Anti-Fake-Pass Checklist\n\n```\n❌ Not wrapping concurrent mutations in doc.transact() → multiple observers fire per sub-change\n❌ Y.Array.delete() outside transaction → partial delete visible to observers mid-operation\n❌ Y.Doc without unique clientID per agent → two agents collide on same clientID, merge broken\n❌ WebsocketProvider without reconnect handling → disconnects silently, sync stops\n❌ Comparing Y.Map values with === → values are shared types; use .toJSON() for comparison\n❌ applyUpdate() without try\u002Fcatch → malformed update (from untrusted peer) throws and crashes\n```\n",{},"main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa","core\u002Fskills\u002Fyjs-crdt-sync",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 yjs-crdt-sync",{"tool":39,"command":40},"bunx","bunx skills add Horonomos-laps\u002FYana-AI --skill yjs-crdt-sync",{"tool":42,"command":43},"pnpm","pnpm dlx skills add Horonomos-laps\u002FYana-AI --skill yjs-crdt-sync","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fyjs-crdt-sync\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; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.","MIT","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fopenai--sentry--sentry\u002FSKILL.md",[],[],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":62,"publishedAt":18},"01M73DCAP83T17HY7SMGK7MGFE","ito-basket-compare","Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fito-basket-compare\u002FSKILL.md",[],[],{"skillNo":64,"name":65,"nameZh":6,"description":66,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":67,"sourceHtmlUrl":68,"categories":69,"keywords":70,"publishedAt":18},"01M734CYEMZFDR3KH6SW0JP8TD","implementing-network-traffic-baselining","Build network traffic baselines from NetFlow\u002FIPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly\u002Fdaily traffic pattern profiling","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FSKILL.md",[],[],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":75,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":18},"01M73ASZ6NJRJM44Z2P84NGQ3Q","detecting-evasion-techniques-in-endpoint-logs","Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FSKILL.md",[],[],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":83,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":18},"01M734AFNXD06Z78QRK0VKGT7Q","implementing-microsegmentation-with-guardicore","Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FSKILL.md",[],[],{"skillNo":88,"name":89,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":18},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]