NoSQL 資料庫

Writing style guide for jonmagic / Jonathan Hoyt with authentic voice patterns and tone guidelines. Use when generating any prose content on jonmagic's behalf—blog posts, documentation, reflections, feedback, snippets, or any written communication. Ensures first-person narratives with introspective framing, concrete examples, and thoughtful principal-engineer perspective.

Expert guidance for Neo4j Cypher queries and MCP server tools. Use when working with mcp__neo4j__ tools for query execution, schema introspection, and graph operations.

Build queryable capability graphs from manifests using Codex for relationship inference between skills, resources, and capabilities.

AWS development with CDK best practices, serverless patterns, cost optimization, and event-driven architecture. Use when deploying to AWS, writing Lambda functions, configuring API Gateway, working with DynamoDB, S3, or any AWS service.

Use when reviewing pull request changes before providing feedback - analyzes PR with feature-research, presents structured findings, offers user choices for commenting or documentation

This skill enables Claude to design NoSQL data models. It activates when the user requests assistance with NoSQL database design, including schema creation, data modeling for MongoDB or DynamoDB, or defining document structures. Use this skill when the user mentions "NoSQL data model", "design MongoDB schema", "create DynamoDB table", or similar phrases related to NoSQL database architecture. It assists in understanding NoSQL modeling principles like embedding vs. referencing, access pattern optimization, and sharding key selection.

Enforce Claude Compass development standards and best practices. This skill should be used when writing or modifying code in the Claude Compass repository, including parsers, database migrations, graph builders, MCP tools, and core services. It ensures adherence to code quality principles, proper error handling, self-documenting code, and established architectural patterns.

This skill enables Claude to design, execute, and analyze performance tests using the performance-test-suite plugin. It is activated when the user requests load testing, stress testing, spike testing, or endurance testing, and when discussing performance metrics such as response time, throughput, and error rates. It identifies performance bottlenecks related to CPU, memory, database, or network issues. The plugin provides comprehensive reporting, including percentiles, graphs, and recommendations.

BackToBack/ByTheBooks (BTB) - An in-repo collaboration pattern for Human-AI engineering teams. Use this skill when working in repositories with a SPECS/ directory containing README.md, PROGRESS.md, and design documents. BTB emphasizes documentation-driven development, mandatory progress tracking before commits, and a feedback loop between design → MVP → implementation.

Domain specialist for API design, development, and best practices. Scope: RESTful API design, GraphQL, API documentation, authentication, authorization, rate limiting, CORS, error handling, pagination, filtering, HATEOAS, API testing, API security. Excludes: database design, business logic, infrastructure, frontend, security beyond API. Triggers: "API", "REST", "GraphQL", "endpoint", "OpenAPI", "Swagger", "CORS".

This skill enables Claude to design, execute, and analyze performance tests using the performance-test-suite plugin. It is activated when the user requests load testing, stress testing, spike testing, or endurance testing, and when discussing performance metrics such as response time, throughput, and error rates. It identifies performance bottlenecks related to CPU, memory, database, or network issues. The plugin provides comprehensive reporting, including percentiles, graphs, and recommendations.

Process large document corpora (1000+ docs, millions of tokens) through knowledge graph construction and stateful multi-hop reasoning. Use when (1) User provides a large corpus exceeding context limits, (2) Questions require connections across multiple documents, (3) Multi-hop reasoning needed for complex queries, (4) User wants persistent queryable knowledge from documents. Replaces brute-force document stuffing with intelligent graph traversal.

Design and implement NestJS REST API endpoints following the project's layered architecture (Controllers, Use Cases, Repositories). Use this skill when creating or modifying controller files (*.controller.ts), defining API routes, implementing HTTP handlers, setting up Swagger documentation, configuring route guards and decorators, working with request/response DTOs, or structuring API endpoints. This includes files in features/{feature}/controller/, auth/controller/, and any file with @Controller() decorator. Apply when working with API_ENDPOINTS constants, @Get/@Post/@Put/@Patch/@Delete decorators, @ApiTags/@ApiProperty swagger decorators, @Public/@MemberRoles custom decorators, HttpCode/HttpStatus configurations, or Query/Param/Body parameter decorators.

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.

Answers questions about Claude Code features, configuration, and usage from local documentation synced from code.claude.com. Use when users ask about hooks, plugins, skills, MCP servers, slash commands, sub-agents, settings, permissions, sandboxing, CLAUDE.md memory files, model selection, costs, IDE integrations (VS Code, JetBrains), CI/CD (GitHub Actions, GitLab), or cloud providers (Bedrock, Vertex, Azure).

When creating vector artwork, illustrations, or SVG graphics for creative expression - provides iterative drawing workflow with visual feedback using render-svg tool

Build React apps with Apollo Client - queries, mutations, cache, and subscriptions

Token-efficient library API documentation fetcher using Context7 MCP with 77% token savings. Fetches code examples, API references, and usage patterns for published libraries (React, Next.js, Prisma, etc). Use when users ask "how do I use X library", need code examples, want API syntax, or are learning a framework's official API. Triggers: "Show me React hooks", "Prisma query syntax", "Next.js routing API". NOT for exploring repo internals/source code (use researching-with-deepwiki) or local files.

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.

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.