NoSQL

Master MongoDB authentication methods including SCRAM, X.509 certificates, LDAP, and Kerberos. Learn user creation, role assignment, and securing MongoDB deployments.

Document learning insights and activities to Supabase with proper categorization, formatting, and retrieval patterns

Master MongoDB ACID transactions for multi-document operations. Learn session management, transaction mechanics, error handling, and production patterns. Guarantee data consistency across multiple operations.

MongoDB fundamentals including document model, CRUD operations, querying, indexing, and aggregation framework for NoSQL database applications.

Build RAG systems with Ollama local + cloud models. Latest cloud models include DeepSeek-V3.2 (GPT-5 level), Qwen3-Coder-480B (1M context), MiniMax-M2. Use for document Q&A, knowledge bases, and agentic RAG. Covers LangChain, LlamaIndex, ChromaDB, and embedding models.

Context Store - Document management system for storing, querying, and retrieving documents across Claude Code sessions. Use this to maintain knowledge bases, share documents between agents. Whenever you encounter a <document id=*> in a session, use this skill to retrieve its content.

Master MongoDB integration in applications with Node.js, Python, and Java drivers. Learn connections, transactions, error handling, and best practices. Use when building applications with MongoDB.

This skill should be used when the user asks about "KV namespace", "R2 bucket", "D1 database", "Hyperdrive", "create binding", "list workers", "worker code", "storage binding", "database query", "object storage", "key-value store", "connection pooling", or needs to manage Cloudflare Workers storage and compute resources.

Query up-to-date tool documentation using Context7. Use when you need current documentation for Python 3.14+, Claude Code CLI, or other configured tools.

Query and manage local Convex documentation mirror (42 docs). Search Convex topics for real-time database, serverless functions, authentication, file storage, and React hooks. Use when implementing Convex backend features or answering Convex-related questions. (user)

Provides expert-level assistance with dbt Semantic Layer, MetricFlow, semantic models, metrics, dimensions, entities, measures, and BI tool integrations. Use this skill when building semantic models, creating metrics (simple, ratio, cumulative, derived, conversion), debugging validation errors, or integrating with BI tools. Extracted from official dbt documentation and optimized for data practitioners.

Follow project-wide development conventions for project structure, documentation, version control, code review, environment configuration, dependency management, and security practices. Use this skill when setting up new projects, organizing file structures, writing project documentation, creating Git branches and commits, configuring environment variables, managing dependencies, setting up CI/CD pipelines, or implementing security practices. Apply when working on project setup tasks, creating documentation files (README.md, ARCHITECTURE.md, DATABASE_SCHEMA.md, API_REFERENCE.md, SETUP.md), Git workflow operations, .env files, package.json/bun.lockb, Docker configurations, or any cross-cutting project concerns. This skill ensures hybrid code organization (global shared code by type + feature-specific code with nested subdirectories), required documentation (README, ARCHITECTURE, DATABASE_SCHEMA, API_REFERENCE, SETUP - written before coding then updated), GitHub Flow workflow (main branch production-ready, feat

Advanced MongoDB: aggregation pipeline, sharding, replication, transactions.

Production-grade agentic system development with LlamaIndex in Python. Covers semantic ingestion (SemanticSplitterNodeParser, CodeSplitter, IngestionPipeline), retrieval strategies (BM25Retriever, hybrid search, alpha weighting), PropertyGraphIndex with graph stores (Neo4j), context RAG (RouterQueryEngine, SubQuestionQueryEngine, LLMRerank), agentic orchestration (ReAct, Workflows, FunctionTool), and observability (Arize Phoenix). Use when asked to "build a LlamaIndex agent", "set up semantic chunking", "index source code", "implement hybrid search", "create a knowledge graph with LlamaIndex", "implement query routing", "debug RAG pipeline", "add Phoenix observability", or "create an event-driven workflow". Triggers on "PropertyGraphIndex", "SemanticSplitterNodeParser", "CodeSplitter", "BM25Retriever", "hybrid search", "ReAct agent", "Workflow pattern", "LLMRerank", "Text-to-Cypher".

Master MongoDB CRUD operations, document insertion, querying, updating, and deletion. Learn BSON format, ObjectId, data types, and basic operations. Use when working with documents, collections, and fundamental MongoDB operations.

Interactive Archon integration for knowledge base and project management via REST API. On first use, asks for Archon host URL. Use when searching documentation, managing projects/tasks, or querying indexed knowledge. Provides RAG-powered semantic search, website crawling, document upload, hierarchical project/task management, and document versioning. Always try Archon first for external documentation and knowledge retrieval before using other sources.

Generate MongoDB/Mongoose schema files with validation, indexes, and virtuals. Triggers on "create mongodb schema", "generate mongoose model", "mongo schema", "mongoose model for".

Query database structure and business rules. Auto-documents new findings.

WHEN: GraphQL schema review, resolver patterns, N+1 detection, query complexity, API securityWHAT: Schema design + N+1 detection + Query complexity + Input validation + Error handling + DataLoader patternsWHEN NOT: REST API → api-documenter, Database schema → schema-reviewer, ORM → orm-reviewer

Write or update documentation (tutorial, how-to, reference, explanation) with clear style, structure, visuals, API/ADR/runbook patterns. Use when: (1) Creating or updating docs after code changes, (2) During PR preparation or addressing review feedback, (3) Adding new features that need documentation, (4) Updating API endpoints, database schemas, or configuration, (5) Creating ADRs or runbooks, (6) Adding or updating diagrams and visual documentation, (7) When documentation needs to be written or revised, (8) For tutorial creation, how-to guides, or technical writing, or (9) For documentation standards compliance and structure. Triggers: write docs, update documentation, create documentation, write tutorial, document API, write ADR, create runbook, add documentation, document this, write how-to.