NoSQL
455 skills in Databases > NoSQL
project-sync
Sync GameGen SceneLayout from DynamoDB to Godot .tscn files. Exports current layout without AI parsing.
readthedocs-search-api
Query the Read the Docs Search API to find documentation across projects and repositories. Use when searching documentation, finding related docs, finding API documentation, or gathering information about projects on Read the Docs.
moai-jit-docs-enhanced
Enhanced Just-In-Time document loading system that intelligently discovers, loads, and caches relevant documentation based on user intent and project context. Use when users need specific documentation, when working with new technologies, when answering domain-specific questions, or when context indicates documentation gaps.
sanity-development
Work with Sanity Content Operating System - query documents with GROQ, manage schemas, create and update content, handle releases and versioning. Use when working with Sanity projects, content operations, GROQ queries, or schema design.
frappe-api
Frappe Python and JavaScript API reference including document operations, database queries, utilities, and REST API patterns. Use when working with frappe.get_doc, frappe.db, frappe.call, or any Frappe API methods.
sop-api-development
Complete REST API development workflow coordinating backend, database, testing, documentation, and DevOps agents. 2-week timeline with TDD approach.
global-tech-stack
Reference and maintain the project's technology stack including frameworks, languages, databases, testing tools, and third-party services to ensure consistency across the codebase. Use this skill when making technology decisions, adding new dependencies, choosing appropriate tools or libraries, configuring build systems, setting up testing frameworks, or documenting the tech stack. Apply this skill when selecting which framework, library, or tool to use for a given task, when ensuring code follows the conventions of the chosen stack (React patterns, Python idioms, Rails conventions), when integrating third-party services, or when documenting technology choices in README or architecture documentation. This skill ensures all team members use consistent technologies, new additions align with existing stack decisions, technology choices are documented with rationale, and the project maintains coherent patterns rather than mixing conflicting approaches or frameworks.
construction-document-ingestion
Process construction estimate documents (Excel/CSV/PDF) from Supabase and convert them to EstimationElement format. Use when users need to ingest construction estimates, DQE (Descriptive Quantitative Estimate), or devis files.
mongodb
Guide for implementing MongoDB - a document database platform with CRUD operations, aggregation pipelines, indexing, replication, sharding, search capabilities, and comprehensive security. Use when working with MongoDB databases, designing schemas, writing queries, optimizing performance, configuring deployments (Atlas/self-managed/Kubernetes), implementing security, or integrating with applications through 15+ official drivers. (project)
mcp-leann
Lightweight vector database providing semantic code search with 97% storage savings. Uses graph-based selective recomputation for efficient RAG on codebases, documents, and any text content. Provides build, search, and ask commands via MCP integration.
zod-docs
Query and manage local Zod documentation mirror (59 docs). Search Zod topics for TypeScript-first schema validation, parsing, type inference, refinements, and transformations. Use when implementing validation or answering Zod-related questions. (user)
video-processor
Comprehensive video processing toolkit for content analysis, transcription, frame extraction, and documentation generation. Use when working with video files (.mp4, .avi, .mov, .mkv) or YouTube URLs for transcribing video content and generating subtitles, extracting and analyzing frames at intervals or timestamps, creating summaries and reports from video content, extracting metadata and technical information, processing video from filesystem, YouTube, or database sources, or generating documentation from training videos or tutorials. Supports automatic YouTube URL detection and downloading with extended metadata (channel, views, likes, tags).
rag
Retrieval-Augmented Generation (RAG) for grounding LLM responses withexternal knowledge. Covers document chunking, embeddings, vector stores(pandas, ChromaDB), similarity search, and conversational RAG pipelines.
dams
Query dam geometries in the USA from the GeoConnex knowledge graph. Returns dam locations and metadata as a GeoDataFrame.
context-agent-hackathon
Help Claude Code work on this LangGraph + LlamaIndex Context Agent for the Theory Ventures Context Engineering Hackathon, optimizing performance on objective evals over DBs, PDFs, and logs.
mastering-aws-cli
AWS CLI v2 quick-reference for experienced developers. Covers compute (Lambda, ECS, EKS), storage (S3, DynamoDB, Aurora), networking (VPC, SSM tunneling), security (IAM, Secrets Manager), and GitHub Actions CI/CD. Use when asked to "write aws commands", "debug aws access", "set up cross-account roles", "configure aws cli", "assume role", "S3 bucket operations", or "deploy to ECS".
mongodb
Integrates MongoDB document database with Node.js applications using the official driver or Mongoose ODM. Use when building applications with flexible schemas, document storage, or when user mentions MongoDB, NoSQL, or document databases.
livekit-agent-tools
Comprehensive guide for building functional tools for LiveKit voice agents using the @function_tool decorator. Use when creating tools for LiveKit agents to enable capabilities like API calls, database queries, multi-agent coordination, or any external integrations. Covers tool design, RunContext handling, interruption patterns, parameter documentation, testing, and production best practices.
cloudbase-document-database-web-sdk
Use CloudBase document database Web SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.
backend-development
Master backend API development with Node.js, Python, PHP, Java, C#, GraphQL, REST APIs, databases, and microservices. Learn server-side architecture, authentication, scalability, and production deployment.