llms.txt Content
# Documentation
- [Build Without Code](/docs/build-without-code): What admins and business analysts can do visually in Console, Studio, and Setup — and how that stays in sync with metadata written as code
- [Documentation](/docs): Technical documentation for ObjectStack.
- [Actions as Tools](/docs/ai/actions-as-tools): Expose declarative Action metadata as AI-callable tools with explicit opt-in, HITL approval, and permission-aware execution
- [AI Agents](/docs/ai/agents): The two platform agents (ask and build), how skills extend them, and the shape of an AgentSchema record
- [Connect an MCP Client](/docs/ai/connect-mcp): Point Claude Code, Claude Desktop, or any MCP client at your running app — OAuth or API key — and verify the agent can see and operate it.
- [AI Overview](/docs/ai): Complete guide to leveraging AI agents, RAG pipelines, and intelligent automation in ObjectStack
- [Knowledge & RAG](/docs/ai/knowledge-rag): The Knowledge Protocol — permission-aware RAG for agents via pluggable adapter plugins (memory, RAGFlow, custom)
- [Natural Language Queries](/docs/ai/natural-language-queries): How agents query live data through the open MCP data tools (query_records, get_record, aggregate_records) under RLS
- [AI Skills Reference](/docs/ai/skills-reference): Reference for every ObjectStack AI skill — domain-scoped knowledge modules that teach AI assistants the protocol's schemas and constraints
- [AI Skills System](/docs/ai/skills): How ObjectStack uses structured AI skills to enable intelligent code generation, review, and automation
- [Client SDK](/docs/api/client-sdk): The official TypeScript client for ObjectStack — auto-discovery, typed metadata, CRUD, batch operations, and service-aware feature detection.
- [Data API](/docs/api/data-api): REST endpoints for CRUD, batch operations, record cloning, and analytics queries.
- [Data Flow Diagrams](/docs/api/data-flow): How data moves through the ObjectStack system — from defineStack() configurati