NoSQL

Write production-ready SurrealDB queries and operations using SurrealQL. Use when users need to create schemas, write CRUD queries, model graph relationships, build authentication systems, optimize performance, or work with SurrealDB in any capacity.

GraphQL schema architect designing efficient, scalable API graphs. Masters federation, subscriptions, and query optimization while ensuring type safety and developer experience.

DBOS durable execution patterns and CRITICAL constraints for ChainGraph executor. Use when working on workflows, steps, execution, or any DBOS-related code. Contains MUST-FOLLOW constraints about what can be called from workflows vs steps. Triggers: dbos, workflow, step, durable, execution, startWorkflow, writeStream, recv, send, runStep, atomic, checkpoint, WorkflowQueue, queue, cancelWorkflow, Promise.allSettled. (project)

ChainGraph execution tRPC layer for flow execution management. Use when working on packages/chaingraph-executor or apps/chaingraph-execution-api. Covers execution lifecycle (create/start/pause/resume/stop), event streaming, DBOS workflow integration, signal pattern, API vs Worker modes. Triggers: execution procedure, subscribeToExecutionEvents, ExecutionService, chaingraph-executor, execution-api, execution workflow, DBOS signal, taskQueue, eventBus.

Executor package architecture for ChainGraph flow execution engine. Use when working on packages/chaingraph-executor, execution services, DBOS workflows, event bus, task queues, tRPC routes, or execution-related database operations. Triggers: executor, execution, service, worker, queue, event bus, dbos, workflow, tRPC execution, execution-api, execution-worker.

Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs RAG/semantic search, or wants to start a local web UI for their docs.

Builds GraphQL APIs with schema design, resolvers, error handling, and performance optimization using Apollo or Graphene. Use when creating flexible query APIs, migrating from REST, or implementing real-time subscriptions.

FastMCP Python framework for MCP servers with tools, resources, storage backends (memory/disk/Redis/DynamoDB). Use for Claude tool exposure, OAuth Proxy, cloud deployment, or encountering storage, lifespan, middleware, circular import, async errors.

Comprehensive guide for Google Apps Script development covering all built-in services (SpreadsheetApp, DocumentApp, GmailApp, DriveApp, CalendarApp, FormApp, SlidesApp), triggers, authorization, error handling, and performance optimization. Use when automating Google Sheets operations, creating Google Docs, managing Gmail/email, working with Google Drive files, automating Calendar events, implementing triggers (time-based, event-based), building custom functions, creating add-ons, handling OAuth scopes, optimizing Apps Script performance, working with UrlFetchApp for API calls, using PropertiesService for persistent storage, or implementing CacheService for temporary data. Covers batch operations, error recovery, and JavaScript ES6+ runtime.

Master the know CLI tool for managing specification graphs. Use when working with spec-graph.json, understanding graph structure, querying entities/references/meta, managing dependencies, or learning graph architecture. Teaches dependency rules, entity types, and graph operations.

Query Google NotebookLM for source-grounded, citation-backed answers from uploaded documents. Reduces hallucinations through Gemini's document-only responses. Browser automation with library management and persistent authentication.

Hashnode GraphQL API documentation for creating, managing, and querying blogs, posts, publications, and user data on the Hashnode platform

Use when designing database schemas, need to model domain entities and relationships clearly, building knowledge graphs or ontologies, creating API data models, defining system boundaries and invariants, migrating between data models, establishing taxonomies or hierarchies, user mentions "schema", "data model", "entities", "relationships", "ontology", "knowledge graph", or when scattered/inconsistent data structures need formalization.

AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.

Linear issue tracking API via curl. Use this skill to create, update, and query issues, projects, and teams using GraphQL.

UI/UX design reference database. 50+ styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.

Iteratively craft a CUSTOMER.md document that precisely defines your ideal customer profile (ICP). This is the foundational document from which everything else (product, features, brand) derives. Uses parallel research agents and multi-choice workflow with feedback cycles.

Iteratively craft an AUTHOR_VOICE.md document that captures your unique writing style for AI replication. Use when creating a voice profile via /craft-voice. Interactive multi-choice workflow with feedback cycles.

Reference and maintain knowledge of the project's technical stack including frameworks, languages, databases, testing tools, and third-party services. Use this skill when making architectural decisions about which technologies to use. When adding new dependencies or integrating third-party services. When setting up development environments or deployment infrastructure. When choosing between different libraries or frameworks for a feature. When documenting the technology choices made in the project. When onboarding new team members to understand the tech stack. This skill helps ensure technology choices align with the established stack and provides a reference for all technical decisions.

Runs common Buck2 queries for dependency analysis, target inspection, and build graph exploration. Use when investigating dependencies, finding reverse dependencies, filtering by rule type, or understanding target relationships in the monorepo.