Database
Database management and queries
zod-docs
by jasonz-ncc42
Local Zod documentation reference. Use when asked about Zod schema validation, TypeScript type inference, parsing, error handling, JSON Schema conversion, or schema composition.
nestjs-expert
by samChang72
Nest.js framework expert specializing in module architecture, dependency injection, middleware, guards, interceptors, testing with Jest/Supertest, TypeORM/Mongoose integration, and Passport.js authentication. Use PROACTIVELY for any Nest.js application issues including architecture decisions, testing strategies, performance optimization, or debugging complex dependency injection problems. If a specialized expert is a better fit, I will recommend switching and stop.
@tank/relational-db-mastery
by tankpkg
Relational database performance optimization for PostgreSQL and MySQL. Covers indexing strategies (B-tree, GIN, GiST, BRIN, partial, expression, covering, composite), query optimization (JOINs, CTEs, pagination, N+1), EXPLAIN ANALYZE interpretation, schema design for performance, PostgreSQL tuning (VACUUM, autovacuum, connection pooling, pg_stat_statements), MySQL/InnoDB tuning, and monitoring diagnostics. Synthesizes Winand (SQL Performance Explained), Petrov (Database Internals), Karwin (SQL Antipatterns), Schwartz (High Performance MySQL), Kleppmann (Designing Data-Intensive Applications), and PostgreSQL/MySQL documentation. Trigger phrases: "slow query", "query optimization", "database performance", "index", "indexing strategy", "EXPLAIN ANALYZE", "query plan", "schema design", "normalization", "denormalization", "B-tree", "GIN index", "composite index", "covering index", "partial index", "N+1 query", "pagination", "keyset pagination", "cursor pagination", "connection pool", "PgBouncer", "VACUUM", "autovacuum", "table bloat", "dead tuples", "cache hit ratio", "PostgreSQL tuning", "MySQL tuning", "InnoDB", "foreign key index", "missing index", "over-indexing", "database schema", "data types", "partitioning", "pg_stat_statements", "slow query log", "JOINs", "subquery vs CTE", "query rewriting", "database optimization", "SQL performance", "database design", "relational database"
sequential-thinking
by tianguzhe
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
cloudflare
by janwilmake
Use this when asked to make a cloudflare worker
@tank/notion
by tankpkg
"Query, create, and update Notion pages, databases, and blocks through the Notion API. Covers database CRUD with typed properties (select, relation, rollup, formula), compound filters, page content as block trees, search across workspaces, and pagination patterns. Triggers: notion, database, page, block, query, filter, property, relation, rollup, block tree, Notion API, workspace, toggle, callout, create page, update page."
prisma-docs
by jasonz-ncc42
Local Prisma documentation reference. Use when asked about Prisma ORM, Prisma Client, Prisma Schema, migrations, database queries, Prisma Accelerate, or Prisma Postgres.
dimensional
by Semprini
Use this skill when the user asks for a physical dimensional model, star schema, fact/dimension design, bridge strategy. Also use when deciding how existence, mutability, and temporal tracking should influence physical realization.
zod-docs
by jasonz-ncc42
Local Zod documentation reference. Use when asked about Zod schema validation, TypeScript type inference, parsing, error handling, JSON Schema conversion, or schema composition.
prd-to-ralph
by galihcitta
Use when converting PRD/requirements into JSON format for Ralph Wiggum autonomous loops. Extracts user stories, orders by dependency (schema first, then backend, then UI, then dashboard), auto-adds standard criteria (typecheck, build, lint, tests), outputs structured JSON ready for autonomous iteration.
agno
by AbhishekSharma-17
"Build AI agents, multi-agent teams, and agentic workflows using the Agno framework. MANDATORY TRIGGERS: Agno, agno-agi, AgentOS, any mention of the Agno framework. Also trigger when the user wants to build AI agents with tools/memory/knowledge, create multi-agent systems, RAG pipelines, reasoning agents, agentic workflows, or deploy agents to production. Trigger even if the user just says 'build me an agent', 'create an AI assistant', or 'make a chatbot' — if Agno is anywhere in their stack or project dependencies. When in doubt about whether to use this skill for agent-building tasks, use it."
deepagents-subagents
by evanfang0054
在 Deep Agents 中使用 SubAgentMiddleware 启动子代理进行任务委托、上下文隔离和专门工作。
engram
by qwexs
Etalon memory architecture with Knowledge Graph (PARA), session isolation, memory decay, and QMD hybrid search
code-quality-standards
by webdevtodayjason
Code quality standards including SOLID principles, design patterns, code smells, refactoring techniques, naming conventions, and technical debt management. Use when reviewing code, refactoring, ensuring quality, or detecting code smells.
doc-generator-strategy
by samChang72
Use when generating or improving user manuals or documentation strategies. Focuses on Code-First Analysis, Process Restoration, and Structured Standards.
graphql-schema
by manastalukdar
GraphQL schema validation and optimization with federation support
prisma-docs
by jasonz-ncc42
Local Prisma documentation reference. Use when asked about Prisma ORM, Prisma Client, Prisma Schema, migrations, database queries, Prisma Accelerate, or Prisma Postgres.
notion-knowledge-capture
by Victory-Hugo
Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.
godworld-sync
by pnils08
Sync GodWorld cycle exports to local SQLite database
semantic-search
by cadrianmae
Use semantic search to find relevant code and documentation when user asks about specific functionality, features, or implementation patterns. Automatically invoke when user asks "where is...", "how does... work", "find code that...", or similar conceptual queries. More powerful than grep for concept-based searches. Uses odino CLI with BGE embeddings for fully local semantic search.
rerank-service
by Lin-A1
文档重排序服务（Reranker）。基于深度学习模型对检索候选结果进行细粒度相关性打分与重新排序，显著提升检索结果的精准度（Top-K 准确率）。
Deprecation Handler
by alienfast
"Handles deprecated APIs, types, and modules by applying safe migration patterns. Use when encountering deprecation warnings, migrating from deprecated code, updating dependencies with breaking changes, or modernizing legacy code to use current APIs."
uniprot-database
by Victory-Hugo
直接访问UniProt REST API。蛋白质搜索、FASTA序列获取、ID映射、Swiss-Prot/TrEMBL数据库。对于涉及多个数据库的Python工作流，建议使用bioservices（统一接口覆盖40多个服务）。此技能适用于直接HTTP/REST操作或UniProt特定控制。
applying-domain-driven-design
by sumik5
Domain-Driven Design methodology covering strategic design (Bounded Context, Ubiquitous Language, Context Mapping), tactical patterns (Domain Model, Event Sourcing, CQRS), practical adoption (heuristics, EventStorming), and operational data decomposition with polyglot database selection. Use when designing domain boundaries, choosing business logic implementation patterns, decomposing monolithic data, or aligning software architecture with business strategy. For socio-technical architecture modernization and trade-off analysis, use modernizing-architecture instead. For microservices distributed patterns (Saga, messaging, granularity), use architecting-microservices instead. For data architecture read-side patterns and caching strategies, use architecting-data instead.