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arbor
arbor contém 18 skills coletadas de terrene-foundation, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Kailash DataFlow - zero-config data operations framework with automatic model-to-node generation and Data Fabric Engine. Use when asking about 'database operations', 'DataFlow', 'database models', 'CRUD operations', 'bulk operations', 'database queries', 'database migrations', 'multi-tenancy', 'multi-instance', 'database transactions', 'PostgreSQL', 'MySQL', 'SQLite', 'MongoDB', 'pgvector', 'vector search', 'document database', 'RAG', 'semantic search', 'existing database', 'database performance', 'database deployment', 'database testing', 'TDD with databases', 'external data sources', 'data products', 'db.source', 'db.product', 'db.start', 'fabric engine', 'source adapters', 'REST source', 'webhooks', or 'data fabric'. DataFlow is NOT an ORM - it generates 11 workflow nodes per SQL model, 8 nodes for MongoDB, and 3 nodes for vector operations.
Kailash Nexus - zero-config multi-channel platform for deploying workflows as API + CLI + MCP simultaneously. Use when asking about 'Nexus', 'multi-channel', 'platform deployment', 'API deployment', 'CLI deployment', 'MCP deployment', 'unified sessions', 'workflow deployment', 'production deployment', 'API gateway', 'session management', 'health monitoring', 'enterprise platform', 'plugins', 'event system', or 'workflow registration'. Also covers K8s integration: 'K8s probes', 'healthz', 'readyz', 'startup probe', 'ProbeManager', 'ProbeState', 'OpenAPI', 'openapi.json', 'OpenApiGenerator', 'security headers', 'CSRF middleware', 'CSRFMiddleware', 'SecurityHeadersMiddleware', 'middleware presets', 'Preset', or 'HSTS'.
Kailash Kaizen - production-ready AI agent framework with signature-based programming, multi-agent coordination, and enterprise features. Use when asking about 'AI agents', 'agent framework', 'BaseAgent', 'multi-agent systems', 'agent coordination', 'signatures', 'agent signatures', 'RAG agents', 'vision agents', 'audio agents', 'multimodal agents', 'agent prompts', 'prompt optimization', 'chain of thought', 'ReAct pattern', 'Planning agent', 'PEV agent', 'Tree-of-Thoughts', 'pipeline patterns', 'supervisor-worker', 'router pattern', 'ensemble pattern', 'blackboard pattern', 'parallel execution', 'agent-to-agent communication', 'A2A protocol', 'streaming agents', 'agent testing', 'agent memory', 'agentic workflows', 'AgentRegistry', 'OrchestrationRuntime', 'distributed agents', 'agent registry', '100+ agents', 'capability discovery', 'fault tolerance', 'health monitoring', 'trust protocol', 'EATP', 'TrustedAgent', 'trust chains', 'secure messaging', 'enterprise trust', 'credential rotation', 'trust verificati
Kailash cheatsheets: patterns, nodes, workflows, cycles, performance, security, multi-tenancy, saga, custom nodes.
Kailash dev guides: custom nodes, MCP, async, testing, deployment, RAG, security, monitoring, SDK internals.
Workflow templates: finance, healthcare, logistics, manufacturing, retail, ETL, RAG, document processing, API.
SDK release and Git workflow guides for the Kailash Python SDK including PyPI publishing, CI/CD pipelines, documentation deployment, and Git workflows. Use when asking about 'deployment', 'release', 'PyPI publish', 'CI/CD', 'GitHub Actions', 'documentation deployment', 'TestPyPI', 'wheel building', 'version bump', 'changelog', 'Git workflow', 'Git branching', 'package release', or 'multi-package coordination'.
Kailash testing: 3-tier, Tier 2/3 real infra (NO mocking per rules/testing.md), regression, coverage.
Architecture decision guides for Kailash SDK including framework selection (Core SDK vs DataFlow vs Nexus vs Kaizen), runtime selection (Async vs Sync), database selection (PostgreSQL vs SQLite), node selection, and test tier selection. Use when asking about 'which framework', 'choose framework', 'which runtime', 'which database', 'which node', 'architecture decision', 'when to use', 'Core SDK vs DataFlow', 'PostgreSQL vs SQLite', 'AsyncLocalRuntime vs LocalRuntime', or 'test tier selection'.
Validation patterns and compliance checking for Kailash SDK including parameter validation, DataFlow pattern validation, connection validation, absolute import validation, workflow structure validation, and security validation. Use when asking about 'validation', 'validate', 'check compliance', 'verify', 'lint', 'code review', 'parameter validation', 'connection validation', 'import validation', 'security validation', or 'workflow validation'.
Kailash gold standards: imports, param passing, error handling, Tier 2/3 NO mocking, security, docs, workflow design.
Security patterns and best practices for Kailash SDK including input validation, secret management, injection prevention, authentication, authorization, and OWASP compliance. Use when asking about 'security', 'secrets', 'authentication', 'authorization', 'injection prevention', 'input validation', 'OWASP', 'credentials', 'API keys', 'secure coding', or 'security review'.
AI UX patterns. Use for prompt UX, wayfinding, HITL, trust, disclosure, AI identity, memory UX, generative UI.
COC template implementation reference — how the five layers are implemented in Kailash COC templates (agents, skills, rules, hooks, commands). Use when asking about template structure, not COC concepts (use co-reference for specs).
Claude Code architecture patterns, artifact design, context management, and agentic system patterns. Use when creating, auditing, or improving CC artifacts.
Kailash errors: Nexus hangs, connection errors, runtime errors, cycles, missing .build(), validation, template syntax.
Kailash ML 1.0.0 — MANDATORY for ALL ML training/inference/feature/drift/AutoML/RL work. Engine-first km.* surface (train/register/serve/track/diagnose/watch/dashboard/seed/reproduce/resume/lineage/rl_train/engine_info/list_engines/autolog) + 18 engines. Raw sklearn / pytorch / numpy training loops BLOCKED.
EATP SDK implementation reference — TrustPlane, BudgetTracker, PostureStore, security patterns, store backends, enterprise features. Use when implementing trust code, not when asking about EATP concepts (use co-reference for specs).