NoSQL

Document Q&A with RAG using Supabase pgvector store.

Extract entities, properties, and relationships from UML class diagrams (images) and populate Neo4j graph database. Supports TMF-style diagrams, schema diagrams, and other UML class diagrams. Uses vision models for extraction and generates Cypher queries for Neo4j population.

This skill should be used when the user asks to "create MongoDB model", "define Beanie document", "write MongoDB query", "create aggregation pipeline", "run database migration", "index MongoDB collection", or mentions Beanie, Motor, MongoDB documents, or async database operations. Provides MongoDB/Beanie ODM patterns for FastAPI.

Master microbiome data operations across Supabase, Neo4j, Upstash Vector, and Redis. Generates comprehensive BrilliantBiome reports with BrilliantScore calculations, species analysis, AMR assessments, and population insights. Use when querying microbiome data, generating reports, analyzing taxonomic relationships, or performing similarity searches across the two-lane architecture (clinical + research).

Build searchable knowledge bases from document collections (PDFs, Word, text files). Use for creating technical libraries, standards repositories, research databases, or any large document collection requiring full-text search.

Execute GraphQL queries against Sonar ISP API.Use when querying customer data, services, billing, invoices, payments, tickets, jobs, or network info from Sonar.Supports live mode via fetch_customer_live(). Reference: src/apis/sonar_client.py

Create technical design documents for ABP Framework features including API contracts, database schemas, and architecture decisions. Use when: (1) designing REST APIs, (2) planning database schemas, (3) creating technical specifications, (4) documenting architecture decisions (ADRs).

prisma expert with self-populating documentation

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

Manage J-Quants ingestion, feature graph generation, and cache hygiene for the ATFT-GAT-FAN dataset pipeline.

Use this skill when integrating Cloudflare Zero Trust Access authentication with Cloudflare Workers applications. Provides Hono middleware setup, manual JWT validation patterns, service token authentication, CORS handling with Access, and multi-tenant configurations. Prevents 8 common errors including CORS preflight blocking (45 min saved), key cache race conditions (20 min), missing JWT headers (30 min), and dev/prod team mismatches (15 min). Saves ~58% tokens (3,250 tokens) and 2.5 hours per implementation. Covers user authentication flows, service-to-service auth, geographic restrictions, role-based access control, and Access policy configuration.Keywords: Cloudflare Access, Zero Trust, Cloudflare Zero Trust Access, Access authentication, JWT validation, access jwt, service tokens, hono cloudflare access, hono-cloudflare-access middleware, workers authentication, protect worker routes, admin authentication, access policy, identity providers, azure ad access, google workspace access, okta access, github a

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.

Generate detailed technical design documents including architecture, APIs, database schemas, and implementation specifications

Use when building a production-ready REST API from requirements through deployment.Orchestrates 8-12 specialist agents across 5 phases using Test-Driven Development methodology.Covers planning, architecture, TDD implementation, comprehensive testing, documentation, andblue-green deployment over a 2-week timeline with emphasis on quality and reliability.

Extracts all chunks with three-tier contextual embeddings from a specific PDF file in Qdrant vector database and saves to plain text. Use when user wants to extract, export, dump, or view all chunks from a PDF document, inspect file content, save chunks for analysis, or review contextual embeddings.

AWS infrastructure as code with Terraform and CDK, including VPC design, EKS cluster setup, S3 bucket configuration, RDS databases, DynamoDB tables, Lambda functions, API Gateway, CloudWatch monitoring, IAM policies, security groups, cost optimization, multi-account strategies, CI/CD with CodePipeline, infrastructure testing, disaster recovery, compliance automation, and cloud-native best practices for production workloads.

Gestion du projet MyGGV GPS dans Archon. Utiliser pour la documentation, les tâches, la recherche dans la knowledge base (Supabase docs, MapLibre docs, etc.), et le suivi de projet.

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

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.

Comprehensive PR review using multi-agent swarm with specialized reviewers for security, performance, style, tests, and documentation. Provides detailed feedback with auto-fix suggestions and merge readiness assessment.