Database
Database management and queries
dbt-data-transformation
by manutej
Complete guide for dbt data transformation including models, tests, documentation, incremental builds, macros, packages, and production workflows
apache-spark-data-processing
by manutej
Complete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deployment
fastapi-microservices-development
by manutej
Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies
hasura-graphql-engine
by manutej
Complete guide for Hasura GraphQL Engine including instant GraphQL APIs, permissions, authentication, event triggers, actions, and production deployment
docker-compose-orchestration
by manutej
Container orchestration with Docker Compose for multi-container applications, networking, volumes, and production deployment
SQLAlchemy ORM Expert
by manutej
Comprehensive SQLAlchemy skill for customer support tech enablement, covering ORM patterns, session management, query optimization, async operations, and PostgreSQL integration
fastapi-development
by manutej
Modern Python API development with FastAPI covering async patterns, Pydantic validation, dependency injection, and production deployment
golang-backend-development
by manutej
Complete guide for Go backend development including concurrency patterns, web servers, database integration, microservices, and production deployment
kafka-stream-processing
by manutej
Complete guide for Apache Kafka stream processing including producers, consumers, Kafka Streams, connectors, schema registry, and production deployment
FastAPI Customer Support Tech Enablement
by manutej
Comprehensive FastAPI skill for building modern Python web APIs with focus on customer support systems, ticket management, real-time chat, and backend operations
MCP Architecture Expert
by frankxai
Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices
rust-webapp
by arsenyinfo
Build full-stack web applications using Rust (Axum + SQLx) with HTMX + Alpine.js frontend and Neon (serverless PostgreSQL). Use when asked to create web apps, CRUD apps, dashboards, forms, or any stateful web application. Triggers on requests like "build a todo app", "create a voting app", "make a dashboard", "build a blog", etc.
project-awareness
by gleanwork
Use when the user asks about project status, ownership, or context. Triggers on phrases like "status of X project", "who owns Y", "what's happening with Z", "project update", "where does the project stand", "what's the state of", "who's working on", or when needing quick project context without a full analysis.
resume-manager
by ailabs-393
This skill should be used whenever users need help with resume creation, updating professional profiles, tracking career experiences, managing projects portfolio, or generating tailored resumes for job applications. On first use, extracts data from user's existing resume and maintains a structured database of experiences, projects, education, and skills. Generates professionally styled one-page PDF resumes customized for specific job roles by selecting only the most relevant information from the database.
tanstack-query
by acedergren
TanStack Query v5 expert guidance - migration gotchas (v4→v5 breaking changes), performance pitfalls (infinite refetch loops, staleness traps), and decision frameworks (when NOT to use queries, SWR vs React Query trade-offs). Use when: (1) debugging v4→v5 migration errors (gcTime, isPending, throwOnError), (2) infinite refetch loops, (3) SSR hydration mismatches, (4) choosing between React Query vs SWR vs fetch, (5) optimistic update patterns not working. NOT for basic setup (see official docs). Focuses on non-obvious decisions and patterns that cause production issues. Triggers: React Query, TanStack Query, v5 migration, refetch loop, stale data, SSR hydration, query invalidation, optimistic updates debugging.
start-work
by zephyrwang6
每日工作启动助手。读取Obsidian收件箱、计划文件，提醒今日待办，询问内容创作计划，展示周计划进度，调用热点采集。触发词："开始工作"、"开启新一天"、"今天做什么"。帮助用户快速进入高效工作状态。
mem-query
by zephyrwang6
AI个人记忆系统的记忆查询功能。检索各层级记忆文件，综合多层级信息回答用户问题。使用场景：(1) 用户问"我的记忆中关于XXX"时；(2) 用户询问自己的习惯/偏好/价值观时；(3) 需要基于用户历史提供建议时。该skill会自动检索L1-L4各层级，引用来源，给出基于记忆的个性化回答。
role-architect:scalability-analysis
by rnavarych
Scalability analysis expertise including horizontal vs vertical scaling, sharding strategies, read/write splitting, eventual consistency patterns, CQRS for scale, back-of-envelope calculations, and caching layer design.
pinecone-mcp
by pinecone-io
Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.
pinecone-query
by pinecone-io
Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the CLI skill instead. Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured.
role-architect:cost-modeling
by rnavarych
Cost modeling expertise including infrastructure cost estimation, TCO calculation, build vs buy analysis, pricing model comparison, ROI projection, cost growth modeling, and breakeven analysis.
notebooklm
by b-open-io
This skill should be used when the user wants to query Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Provides browser automation, library management, and persistent auth. Drastically reduced hallucinations through document-only responses.
role-database:capacity-planning
by rnavarych
Database capacity and growth planning. Storage growth estimation, IOPS requirements, memory sizing (buffer pool, shared_buffers), connection count estimation, sharding triggers, read replica scaling, cost estimation per cloud provider. Load testing (pgbench, sysbench, YCSB, HammerDB). When to shard vs scale up vs read replicas. Use when planning database capacity, sizing infrastructure, or evaluating scaling strategies.
qgis
by pacphi
Geospatial analysis and GIS operations via QGIS. Use for calculating distances, buffering zones, coordinate transforms (EPSG:4326 to EPSG:3857), layer operations, geoprocessing (intersect, union, clip), and exporting map images. Requires QGIS running on Display :1 with MCP plugin enabled.