docyrus-platform
Comprehensive reference for Docyrus platform capabilities, building blocks, features, and API coverage. Use when the user asks about what Docyrus can do, what features are available, how the platform works, or needs context about platform capabilities to design solutions.
What this skill does
# Docyrus Platform Docyrus is an AI-native Backend Platform as a Service (BPaaS) that enables businesses to build B2B web apps, mobile apps, client portals, internal tools, AI agents, chatbots, and integrations — without building backend infrastructure from scratch. ## Core Building Blocks The platform is composed of six core building blocks that work together: - **Apps** — Top-level containers that group data sources, automations, and custom queries into a deployable unit. - **Data Sources** — Structured collections of records with defined schemas. Support simple, advanced, external (connected databases/APIs), and system (pre-built) types. Every data source — internal or external — is exposed through a single, unified CRUD endpoint. - **Fields** — 45+ field types that define the schema of each data source, covering text, numbers, dates, selections, relations, files, formulas, nested data, and more. - **Enumerations** — Reusable option sets for selection fields, with color, icon, and ordering support. - **Custom Queries** — SQL-based analytics templates with dynamic variable interpolation, runtime filters, and multi-database targeting. - **Automations** — Event-driven workflows with triggers (record changes, time-based, webhooks, buttons) and action chains (email, notifications, HTTP requests, AI prompts, record operations). For detailed specifications of each building block, see [references/core-building-blocks.md](references/core-building-blocks.md). ## Key Feature Areas ### Querying & Data Operations Unified query engine with column selection, 50+ filter operators, aggregations, formulas, pivots, child queries, and full-text search. Full CRUD with bulk operations, record comments, and file attachments. See [references/querying-and-data-operations.md](references/querying-and-data-operations.md). For complete query payload reference with examples, see [references/data-source-query-guide.md](references/data-source-query-guide.md). For block formula design (inline expressions and subqueries), see [references/formula-design-guide-llm.md](references/formula-design-guide-llm.md). ### AI Capabilities AI agent builder with tool binding, knowledge bases, MCP servers, 18+ model providers, agent chaining, task scheduling, persistent memory, chat integrations, and evaluation metrics. See [references/ai-capabilities.md](references/ai-capabilities.md). ### Automation & Workflows Event-driven automation engine with six trigger types and eleven action types. Supports conditional flows, action chains, and archiving. See [references/automation-and-workflows.md](references/automation-and-workflows.md). ### Authentication & Multi-Tenancy OAuth2 flows (PKCE, Client Credentials, Device Code), scope-based permissions, tenant isolation, role-based and record-level ACL, React auth-provider authorization helpers, and client portal system. See [references/auth-and-multi-tenancy.md](references/auth-and-multi-tenancy.md). ### Integrations & Events Connector framework for HTTP and SQL providers, webhook management, collaborative document editing, in-app messaging, notifications, and email. See [references/integrations-and-events.md](references/integrations-and-events.md). ### Platform Services App templates, data import/export, webforms, reporting & analytics, deployment, localization, audit logging, and billing. See [references/platform-services.md](references/platform-services.md). ### Developer Tools Auto-generated OpenAPI specs, MCP server, full-featured CLI (data + schema + automation CRUD, custom AI agent management, app agent context and AI tools, connectors, messaging, plus the pi agent runtime and repo dev tooling), REST API client libraries, React auth provider with current-user and authorization helpers, and auto-generated collection hooks. See [references/developer-tools.md](references/developer-tools.md). For full CLI command reference (all commands, options, and flags), see [references/docyrus-cli-usage.md](references/docyrus-cli-usage.md).
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.