[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6NT73PCWA7PF8RXBY9AAS4N":3,"skill-same:01M6NT73PCWA7PF8RXBY9AAS4N":53},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":26,"linkOnly":27,"markdownContent":28,"markdownBody":29,"frontMatter":30,"refName":31,"commitSha":32,"skillDirectory":33,"forksCount":14,"repositoryHtmlUrl":34,"repositoryHomepageUrl":6,"ownerHtmlUrl":35,"ownerBlogUrl":36,"ownerDescription":37,"updatedAt":38,"install":39,"resources":52},"01M6NT73PCWA7PF8RXBY9AAS4N","agentica-spawn",null,"Spawn Agentica multi-agent patterns","rubicanjr\u002FFinCognis","rubicanjr","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F234912519?v=4","01M6NT156NND8J474G34SB3923","Rubi","01M6NT15B70RWXE1N3YV0BZY8A",0,"MIT","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fagentica-spawn\u002FSKILL.md",[],[19,20,21,22,23,24,25],"spawn","agentica spawn","multi-agent","patterns","agent patterns","false","multi","2026-11-10 10:12:30",false,"---\nname: agentica-spawn\ndescription: Spawn Agentica multi-agent patterns\nuser-invocable: false\n---\n\n# Agentica Spawn Skill\n\nUse this skill after user selects an Agentica pattern.\n\n## When to Use\n\n- After agentica-orchestrator prompts user for pattern selection\n- When user explicitly requests a multi-agent pattern (swarm, hierarchical, etc.)\n- When implementing complex tasks that benefit from parallel agent execution\n- For research tasks requiring multiple perspectives (use Swarm)\n- For implementation tasks requiring coordination (use Hierarchical)\n- For iterative refinement (use Generator\u002FCritic)\n- For high-stakes validation (use Jury)\n\n## Pattern Selection to Spawn Method\n\n### Swarm (Research\u002FExplore)\n```python\nswarm = Swarm(\n    perspectives=[\n        \"Security expert analyzing for vulnerabilities\",\n        \"Performance expert optimizing for speed\",\n        \"Architecture expert reviewing design\"\n    ],\n    aggregate_mode=AggregateMode.MERGE,\n)\nresult = await swarm.execute(task_description)\n```\n\n### Hierarchical (Build\u002FImplement)\n```python\nhierarchical = Hierarchical(\n    coordinator_premise=\"You break tasks into subtasks\",\n    specialist_premises={\n        \"planner\": \"You create implementation plans\",\n        \"implementer\": \"You write code\",\n        \"reviewer\": \"You review code for issues\"\n    },\n)\nresult = await hierarchical.execute(task_description)\n```\n\n### Generator\u002FCritic (Iterate\u002FRefine)\n```python\ngc = GeneratorCritic(\n    generator_premise=\"You generate solutions\",\n    critic_premise=\"You critique and suggest improvements\",\n    max_rounds=3,\n)\nresult = await gc.run(task_description)\n```\n\n### Jury (Validate\u002FVerify)\n```python\njury = Jury(\n    num_jurors=5,\n    consensus_mode=ConsensusMode.MAJORITY,\n    premise=\"You evaluate the solution\"\n)\nverdict = await jury.decide(bool, question)\n```\n\n## Environment Variables\n\nAll spawned agents receive:\n- `SWARM_ID`: Unique identifier for this swarm run\n- `AGENT_ROLE`: Role within the pattern (coordinator, specialist, etc.)\n- `PATTERN_TYPE`: Which pattern is running\n","# Agentica Spawn Skill\n\nUse this skill after user selects an Agentica pattern.\n\n## When to Use\n\n- After agentica-orchestrator prompts user for pattern selection\n- When user explicitly requests a multi-agent pattern (swarm, hierarchical, etc.)\n- When implementing complex tasks that benefit from parallel agent execution\n- For research tasks requiring multiple perspectives (use Swarm)\n- For implementation tasks requiring coordination (use Hierarchical)\n- For iterative refinement (use Generator\u002FCritic)\n- For high-stakes validation (use Jury)\n\n## Pattern Selection to Spawn Method\n\n### Swarm (Research\u002FExplore)\n```python\nswarm = Swarm(\n    perspectives=[\n        \"Security expert analyzing for vulnerabilities\",\n        \"Performance expert optimizing for speed\",\n        \"Architecture expert reviewing design\"\n    ],\n    aggregate_mode=AggregateMode.MERGE,\n)\nresult = await swarm.execute(task_description)\n```\n\n### Hierarchical (Build\u002FImplement)\n```python\nhierarchical = Hierarchical(\n    coordinator_premise=\"You break tasks into subtasks\",\n    specialist_premises={\n        \"planner\": \"You create implementation plans\",\n        \"implementer\": \"You write code\",\n        \"reviewer\": \"You review code for issues\"\n    },\n)\nresult = await hierarchical.execute(task_description)\n```\n\n### Generator\u002FCritic (Iterate\u002FRefine)\n```python\ngc = GeneratorCritic(\n    generator_premise=\"You generate solutions\",\n    critic_premise=\"You critique and suggest improvements\",\n    max_rounds=3,\n)\nresult = await gc.run(task_description)\n```\n\n### Jury (Validate\u002FVerify)\n```python\njury = Jury(\n    num_jurors=5,\n    consensus_mode=ConsensusMode.MAJORITY,\n    premise=\"You evaluate the solution\"\n)\nverdict = await jury.decide(bool, question)\n```\n\n## Environment Variables\n\nAll spawned agents receive:\n- `SWARM_ID`: Unique identifier for this swarm run\n- `AGENT_ROLE`: Role within the pattern (coordinator, specialist, etc.)\n- `PATTERN_TYPE`: Which pattern is running\n",{"name":5,"description":7,"user-invocable":27},"main","70e1c350500ee750987420bbae48837afa906b7e","skills\u002Fagentica-spawn","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis","https:\u002F\u002Fgithub.com\u002Frubicanjr","linktr.ee\u002Ffinanskodu","Industrial Engineer & CIO @FinansKodu. Architecting AI-driven financial agents and autonomous workflows. 🏗️ Building systems, not just prompts.","2026-06-09 13:50:15",{"source":8,"skillName":5,"commands":40,"prompt":50,"zipAvailable":51},[41,44,47],{"tool":42,"command":43},"npx","npx skills add rubicanjr\u002FFinCognis --skill agentica-spawn",{"tool":45,"command":46},"bunx","bunx skills add rubicanjr\u002FFinCognis --skill agentica-spawn",{"tool":48,"command":49},"pnpm","pnpm dlx skills add rubicanjr\u002FFinCognis --skill agentica-spawn","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fagentica-spawn\u002FSKILL.md",true,[],[54,75,83,102,132,151],{"skillNo":55,"name":56,"nameZh":6,"description":57,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":58,"categories":59,"keywords":65,"publishedAt":26},"01M6NWS9DAXJTADT4T5MB49X8W","workflow-router","Goal-based workflow orchestration - routes tasks to specialist agents based on user goals","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-router\u002FSKILL.md",[60],{"categoryNo":61,"categoryName":62,"taxonomyType":63,"taxonomyTypeDesc":64},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[66,67,68,69,70,71,72,73,74],"workflow router","workflow","router","orchestration","goals","goal","user","workflow orchestration","tasks",{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":81,"publishedAt":26},"01M6NWS3RETSC0SHP16HP66E14","wiring","Wiring Verification","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fwiring\u002FSKILL.md",[],[77,82,24],"verification",{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":92,"publishedAt":26},"01M6NWS0XW9CVQZBDA1EGW0TWC","websocket-patterns","Connection management, room patterns, reconnection strategies, message buffering, and binary protocol design.","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fwebsocket-patterns\u002Fskill.md",[89],{"categoryNo":90,"categoryName":91,"taxonomyType":63,"taxonomyTypeDesc":64},"01JBSEEDCAT000000000000015","视觉设计",[93,22,94,95,96,97,98,99,100,101],"websocket","websocket patterns","design","protocol","management","message","strategies","binary","connection",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":112,"publishedAt":26},"01M6NWRDQDX9ZNETAWRRMQWV52","visual-verdict","Screenshot comparison QA for frontend development. Takes a screenshot of the current implementation, scores it across multiple visual dimensions, and returns a structured PASS\u002FREVISE\u002FFAIL verdict with concrete fixes. Use when implementing UI from a design reference or verifying visual correctness.","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fvisual-verdict\u002FSKILL.md",[108,111],{"categoryNo":109,"categoryName":110,"taxonomyType":63,"taxonomyTypeDesc":64},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":61,"categoryName":62,"taxonomyType":63,"taxonomyTypeDesc":64},[113,114,115,116,117,118,119,120,121,122,123,124,125,95,126,127,128,129,130,131],"visual","verdict","visual verdict","ui","across","revise","comparison","correctness","implementing","for","fixes","dimensions","frontend","development","qa","screenshot","returns","use","frontend development",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":136,"categories":137,"keywords":138,"publishedAt":26},"01M6NWR8HSNRS7MNDK2J02QYMN","verification-loop","Comprehensive verification system covering build, types, lint, tests, security, and diff review before a PR.","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fverification-loop\u002FSKILL.md",[],[139,140,82,141,142,143,144,145,146,147,148,149,150],"verification loop","loop","lint","review","security","pr","system","diff","build","tests","diff review","types",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":157,"publishedAt":26},"01M6NWR4HHSFR0VR5EXFRWA747","vector-db-patterns","Embedding strategies, ANN algorithms, hybrid search, RAG chunking strategies, and reranking for semantic search and retrieval.","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fvector-db-patterns\u002Fskill.md",[],[158,159,160,161,22,162,163,164,165,99,166,167,168,169,170,122,171,172],"vector db patterns","vector db","db","vector","semantic search","search","embedding strategies","algorithms","chunking","semantic","retrieval","embedding","Hybrid Search","hybrid","rag"]