[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6NT62P2AVBFMC7JKD9JMJVF":3,"skill-same:01M6NT62P2AVBFMC7JKD9JMJVF":64},{"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":29,"linkOnly":30,"markdownContent":31,"markdownBody":32,"frontMatter":33,"refName":36,"commitSha":37,"skillDirectory":38,"forksCount":14,"repositoryHtmlUrl":39,"repositoryHomepageUrl":6,"ownerHtmlUrl":40,"ownerBlogUrl":41,"ownerDescription":42,"updatedAt":43,"install":44,"resources":57},"01M6NT62P2AVBFMC7JKD9JMJVF","agentica-infrastructure",null,"Reference guide for Agentica multi-agent infrastructure APIs","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-infrastructure\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28],"infrastructure","agentica infrastructure","multi-agent","read","guide","reference","false","multi","for","agent infrastructure","2026-11-10 10:12:30",false,"---\nname: agentica-infrastructure\ndescription: Reference guide for Agentica multi-agent infrastructure APIs\nallowed-tools: [Read]\nuser-invocable: false\n---\n\n# Agentica Infrastructure Reference\n\nComplete API specification for Agentica multi-agent coordination infrastructure.\n\n## When to Use\n\n- Building multi-agent workflows with Agentica patterns\n- Need exact constructor signatures for pattern classes\n- Want to understand coordination database schema\n- Implementing custom patterns using primitives\n- Debugging agent tracking or orphan detection\n\n## Quick Reference\n\n### 11 Pattern Classes\n\n| Pattern | Purpose | Key Method |\n|---------|---------|------------|\n| `Swarm` | Parallel perspectives | `.execute(query)` |\n| `Pipeline` | Sequential stages | `.run(initial_state)` |\n| `Hierarchical` | Coordinator + specialists | `.execute(task)` |\n| `Jury` | Voting consensus | `.decide(return_type, question)` |\n| `GeneratorCritic` | Iterative refinement | `.run(task)` |\n| `CircuitBreaker` | Failure fallback | `.execute(query)` |\n| `Adversarial` | Debate + judge | `.resolve(question)` |\n| `ChainOfResponsibility` | Route to handler | `.process(query)` |\n| `MapReduce` | Fan out + reduce | `.execute(query, chunks)` |\n| `Blackboard` | Shared state | `.solve(query)` |\n| `EventDriven` | Event bus | `.publish(event)` |\n\n### Core Infrastructure\n\n| Component | File | Purpose |\n|-----------|------|---------|\n| `CoordinationDB` | `coordination.py` | SQLite tracking |\n| `tracked_spawn` | `tracked_agent.py` | Agent with tracking |\n| `HandoffAtom` | `handoff_atom.py` | Universal handoff format |\n| `BlackboardCache` | `blackboard.py` | Hot tier communication |\n| `MemoryService` | `memory_service.py` | Core + Archival memory |\n| `create_claude_scope` | `claude_scope.py` | Scope with file ops |\n\n### Primitives\n\n| Primitive | Purpose |\n|-----------|---------|\n| `Consensus` | Voting (MAJORITY, UNANIMOUS, THRESHOLD) |\n| `Aggregator` | Combine results (MERGE, CONCAT, BEST) |\n| `HandoffState` | Structured agent handoff |\n| `build_premise` | Structured premise builder |\n| `gather_fail_fast` | TaskGroup-based parallel execution |\n\n## Full API Spec\n\nSee: `API_SPEC.md` in this skill directory\n\n## Usage Example\n\n```python\nfrom scripts.agentica_patterns.patterns import Swarm, Jury\nfrom scripts.agentica_patterns.primitives import ConsensusMode\nfrom scripts.agentica_patterns.coordination import CoordinationDB\nfrom scripts.agentica_patterns.tracked_agent import tracked_spawn\n\n# Create tracking database\ndb = CoordinationDB(session_id=\"my-session\")\n\n# Swarm with tracking\nswarm = Swarm(\n    perspectives=[\"Security expert\", \"Performance expert\"],\n    db=db\n)\nresult = await swarm.execute(\"Review this code\")\n\n# Jury with consensus\njury = Jury(\n    num_jurors=3,\n    consensus_mode=ConsensusMode.MAJORITY,\n    premise=\"You evaluate code quality\",\n    db=db\n)\nverdict = await jury.decide(bool, \"Is this code production ready?\")\n```\n\n## Location\n\nAPI spec: `.claude\u002Fskills\u002Fagentica-infrastructure\u002FAPI_SPEC.md`\nSource: `scripts\u002Fagentica_patterns\u002F`\n","# Agentica Infrastructure Reference\n\nComplete API specification for Agentica multi-agent coordination infrastructure.\n\n## When to Use\n\n- Building multi-agent workflows with Agentica patterns\n- Need exact constructor signatures for pattern classes\n- Want to understand coordination database schema\n- Implementing custom patterns using primitives\n- Debugging agent tracking or orphan detection\n\n## Quick Reference\n\n### 11 Pattern Classes\n\n| Pattern | Purpose | Key Method |\n|---------|---------|------------|\n| `Swarm` | Parallel perspectives | `.execute(query)` |\n| `Pipeline` | Sequential stages | `.run(initial_state)` |\n| `Hierarchical` | Coordinator + specialists | `.execute(task)` |\n| `Jury` | Voting consensus | `.decide(return_type, question)` |\n| `GeneratorCritic` | Iterative refinement | `.run(task)` |\n| `CircuitBreaker` | Failure fallback | `.execute(query)` |\n| `Adversarial` | Debate + judge | `.resolve(question)` |\n| `ChainOfResponsibility` | Route to handler | `.process(query)` |\n| `MapReduce` | Fan out + reduce | `.execute(query, chunks)` |\n| `Blackboard` | Shared state | `.solve(query)` |\n| `EventDriven` | Event bus | `.publish(event)` |\n\n### Core Infrastructure\n\n| Component | File | Purpose |\n|-----------|------|---------|\n| `CoordinationDB` | `coordination.py` | SQLite tracking |\n| `tracked_spawn` | `tracked_agent.py` | Agent with tracking |\n| `HandoffAtom` | `handoff_atom.py` | Universal handoff format |\n| `BlackboardCache` | `blackboard.py` | Hot tier communication |\n| `MemoryService` | `memory_service.py` | Core + Archival memory |\n| `create_claude_scope` | `claude_scope.py` | Scope with file ops |\n\n### Primitives\n\n| Primitive | Purpose |\n|-----------|---------|\n| `Consensus` | Voting (MAJORITY, UNANIMOUS, THRESHOLD) |\n| `Aggregator` | Combine results (MERGE, CONCAT, BEST) |\n| `HandoffState` | Structured agent handoff |\n| `build_premise` | Structured premise builder |\n| `gather_fail_fast` | TaskGroup-based parallel execution |\n\n## Full API Spec\n\nSee: `API_SPEC.md` in this skill directory\n\n## Usage Example\n\n```python\nfrom scripts.agentica_patterns.patterns import Swarm, Jury\nfrom scripts.agentica_patterns.primitives import ConsensusMode\nfrom scripts.agentica_patterns.coordination import CoordinationDB\nfrom scripts.agentica_patterns.tracked_agent import tracked_spawn\n\n# Create tracking database\ndb = CoordinationDB(session_id=\"my-session\")\n\n# Swarm with tracking\nswarm = Swarm(\n    perspectives=[\"Security expert\", \"Performance expert\"],\n    db=db\n)\nresult = await swarm.execute(\"Review this code\")\n\n# Jury with consensus\njury = Jury(\n    num_jurors=3,\n    consensus_mode=ConsensusMode.MAJORITY,\n    premise=\"You evaluate code quality\",\n    db=db\n)\nverdict = await jury.decide(bool, \"Is this code production ready?\")\n```\n\n## Location\n\nAPI spec: `.claude\u002Fskills\u002Fagentica-infrastructure\u002FAPI_SPEC.md`\nSource: `scripts\u002Fagentica_patterns\u002F`\n",{"name":5,"description":7,"allowed-tools":34,"user-invocable":30},[35],"Read","main","70e1c350500ee750987420bbae48837afa906b7e","skills\u002Fagentica-infrastructure","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis","https:\u002F\u002Fgithub.com\u002Frubicanjr","linktr.ee\u002Ffinanskodu","Industrial Engineer & CIO @FinansKodu. 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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",[120,123],{"categoryNo":121,"categoryName":122,"taxonomyType":74,"taxonomyTypeDesc":75},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":72,"categoryName":73,"taxonomyType":74,"taxonomyTypeDesc":75},[125,126,127,128,129,130,131,132,133,27,134,135,136,107,137,138,139,140,141,142],"visual","verdict","visual verdict","ui","across","revise","comparison","correctness","implementing","fixes","dimensions","frontend","development","qa","screenshot","returns","use","frontend development",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":149,"publishedAt":29},"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",[],[150,151,93,152,153,154,155,156,157,158,159,160,161],"verification loop","loop","lint","review","security","pr","system","diff","build","tests","diff review","types",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":168,"publishedAt":29},"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",[],[169,170,171,172,105,173,174,175,176,111,177,178,179,180,181,27,182,183],"vector db patterns","vector db","db","vector","semantic search","search","embedding strategies","algorithms","chunking","semantic","retrieval","embedding","Hybrid Search","hybrid","rag"]