NoSQL

Create MongoDB repository implementation for production database. Use when implementing repository interface with MongoDB, setting up document mapping, creating indexes, or connecting to real database. Triggers on "mongodb repository", "mongo repository", "production repository", "database repository".

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.

Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy | Dùng khi tìm tài liệu, hướng dẫn, docs, documentation, api docs, tham khảo.

Provides GraphQL API schema design and implementation expertise. Ensures proper type definitions, query/mutation patterns, pagination strategies, and error handling standards. Specializes in schema-first design, resolver implementation, DataLoader for N+1 prevention, subscription patterns, and federation architecture. Implements Relay cursor connections and Apollo best practices.Use when: designing GraphQL schemas, defining types and interfaces, implementing queries and mutations, creating resolvers, designing pagination with connections and edges, solving N+1 query problems with DataLoader, implementing subscriptions for real-time updates, handling errors and nullability, setting up GraphQL federation, or integrating with Apollo Server/Client or other GraphQL libraries.

Expert in writing data to Logseq DB graphs via HTTP API. Auto-invokes when users want to create pages, add blocks, update content, set properties, or sync conversation notes to their Logseq graph. Provides CRUD operations with safety guidelines.

Access cached codebase documentation via MCP. Use when searching for project architecture, agent definitions, skill documentation, or deployment procedures. Provides 90% token savings vs. reading files directly.

Manages GitHub issue parent-child relationships and sub-issues using REST and GraphQL APIs. Use when breaking down large work into Epics/Features/Tasks, creating work breakdown structures, converting markdown checklists to sub-issues, reordering sub-issues, or querying issue hierarchies. Handles ID confusion between REST numeric IDs and GraphQL node IDs.

Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or the node/block/page data model. Provides authoritative knowledge of the DB graph architecture.

Investigates HEC-HMS internals through decompiled Java classes. Provides JythonHmsAPI reference, CLI options, version-specific differences (3.x vs 4.x), and guideson-demand decompilation for new discoveries. Use when debugging HMS behavior,discovering undocumented features, understanding version differences, validatingautomation approaches, or investigating HMS API capabilities. Includes completeJythonHms method reference, Python 2 vs 3 syntax differences, and decompilationtooling. Complements hms_doc_query (official docs) with internal implementation details.Trigger keywords: decompile, HMS internals, JythonHms API, HMS version differences,CLI options, undocumented, HMS jar, HMS classes, debugging HMS, HMS source code,HMS 3.x support, Python 2 vs 3, HMS methods, HMS parameters.

Coordinates Serena MCP knowledge graph operations for Shannon Framework. Enforces standardizedentity naming (shannon/* namespace), relation creation patterns, search protocols, and observationmanagement. Prevents orphaned entities, naming chaos, and broken context lineage. Use when: storingspecs/waves/goals/checkpoints, querying Shannon history, managing knowledge graph structure,ensuring cross-wave context preservation.

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

Generate structured planning documentation for web projects with context-safe phases, verification criteria, and exit conditions. Creates IMPLEMENTATION_PHASES.md plus conditional docs (DATABASE_SCHEMA, API_ENDPOINTS, UI_COMPONENTS, CRITICAL_WORKFLOWS).Use when: starting new Cloudflare Workers/React projects, adding major features to existing apps, breaking large work into manageable phases, or need verified planning before coding begins.

Long-running design anthropologist that builds comprehensive visual databases from 500-1000 real-world examples, extracting color palettes, typography patterns, layout systems, and interaction design across any domain (portfolios, e-commerce, SaaS, adult content, technical showcases). This skill should be used when users need exhaustive design research, pattern recognition across large example sets, or systematic visual analysis for competitive positioning.

Expert guidance for migrating Logseq graphs from Markdown (MD) format to the new Database (DB) format. Auto-invokes when users ask about MD to DB migration, converting graphs, import options, data transformation, or compatibility between Logseq versions. Covers migration strategies, common issues, and best practices.

Retrieve documentation from Hackage. Use this Skill when you need a reference for Haskell packages, classes, or want to query package versions. (project)

Deep EDN template analyzer for Logseq database graphs. Analyzes template structure, counts classes/properties, finds orphaned items, checks quality, and compares variants. Use when analyzing template files, finding issues, or comparing different template versions.

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

Integration with AppFlowy project management tool for task tracking, database management, and workspace organization. Use when working with AppFlowy, managing project tasks, creating databases, organizing workspaces, syncing agent work with project tracking, syncing documentation or tasks to AppFlowy, setting up automated sync workflows, or when the user mentions AppFlowy, project tracking, task management, or sync automation. Includes generic sync script that works with ANY project. Supports rich text formatting (bold, italic, code, links, strikethrough) and git pushsync workflow for automated syncing.

MERN stack patterns including React with Vite, Express middleware, MongoDB schemas, API Gateway architecture, session management, error handling, and testing strategies. Activate for MERN development, microservices architecture, and full-stack JavaScript applications.

Deletes specific PDF documents from Qdrant vector database collection. Use when user wants to remove, delete, or clean up PDF documents from the vector database, Qdrant collection, or needs to manage document versions.