数据库
SQL、Schema 设计、迁移和数据库操作
Skills 列表

convex-migrate
Migrate schema + backfill data on a deployed Convex app using @convex-dev/migrations.
get-convex
convex-migrate-rehearse
Rehearse a live-app schema change + backfill on a snapshot-seeded preview deployment, verify, then promote the proven change to prod with the snapshot as rollback.
get-convex
convex-seed
Seed or import data into the Convex database.
get-convex
convex-launch-readiness
Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.
get-convex
aws-diagrams
Visualizes AWS infrastructure from CLI output, CloudFormation, or descriptions. Use when user has AWS resources to diagram.
eraserlabs
netlify-database
Zero-config Postgres for Netlify apps via @netlify/database — querying data from Functions/Edge Functions, writing schema migrations, setting up Drizzle ORM, local dev with netlify dev, database branches for deploy previews, and migrating an existing Postgres project onto Netlify. Use when adding a database, building a contact form or CRUD API, writing SQL migrations, wiring up Drizzle, running netlify database commands, testing with a local Postgres, or switching from Neon/Supabase/RDS to Netlify Database.
netlify
vibe-prospecting
Find company & contact data. Turn your agent into a prospecting platform. Get contact information, roles, tech stack, business events, website changes, intent data. Build lead lists, research prospects, identify talent. 150M+ companies, 800M+ professionals, 50+ data sources.
cline
postgres-best-practices
Best practices and guidelines for working with Postgres. Covers schema design, indexing strategies, query optimization, migrations, and common pitfalls. Use when writing SQL, designing database schemas, optimizing queries, or setting up a Postgres database.
neondatabase
rivet-actors
Actors: The primitive for agent orchestration.
rivet-dev
prisma-orm-v7-skills
Key facts and breaking changes for upgrading to Prisma ORM 7. Consider version 7 changes before generation or troubleshooting
gocallum
powersync
Best practices for building and maintaining applications with PowerSync: Cloud and self-hosted setup, sync configuration, client SDK usage, backend integration (Supabase, custom Postgres, MongoDB, Azure DocumentDB, MySQL, MSSQL), schema changes, watch and reactive queries (useQuery), attachments, the upload queue, and debugging. Use this skill whenever the user mentions PowerSync, a @powersync/* package (@powersync/web, @powersync/react-native, @powersync/node), the powersync Flutter/Dart package, wa-sqlite, offline-first sync, local-first architecture, sync rules, sync streams, uploadData, fetchCredentials, disconnectAndClear, logout or user switching in a synced app, real-time data replication, Electric Cloud migration, Electric Shapes, an app stuck on Syncing, data not syncing, or wants to add offline-capable sync to a mobile or web app, even if they do not explicitly name PowerSync.
powersync-ja
valibot
Schema validation with Valibot, the modular and type-safe schema library. Use when the user needs to validate data, create schemas, parse inputs, or work with Valibot in their project. Also use when migrating from Zod to Valibot.
open-circle
pentest-agents-bug-bounty-framework
Autonomous bug bounty agent framework with 50 agents, hunt loops, exploit chains, MCP servers for platform integration and writeup search
reason-machines
sqlalchemy-alembic-expert-best-practices-code-review
SQLAlchemy ORM and Alembic migration best practices for building safe, performant database schemas. This skill should be used when writing, reviewing, or refactoring SQLAlchemy models, Alembic migrations, or database query patterns. Triggers on tasks involving SQLAlchemy ORM, Alembic migrations, database schema changes, or query optimization.
wispbit-ai
apache-airflow-orchestration
Expert knowledge of Apache Airflow for building, scheduling, and monitoring data pipelines and workflows
aradotso
apache-airflow-orchestration
Expert knowledge of Apache Airflow for building, scheduling, and monitoring data pipelines and workflows
reason-machines
employee-performance-analytics-hr
SQL and Python-based employee performance analytics with KPI aggregation, departmental insights, and HR dashboard generation
reason-machines
data-engineering-medallion-pipeline
End-to-end data engineering pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow with medallion architecture (Bronze/Silver/Gold layers)
reason-machines
realtime-cinema-data-engineering-pipeline
Build end-to-end real-time data pipelines with Kafka, PostgreSQL, Airflow, and Streamlit using Medallion Architecture for streaming analytics.
reason-machines
harvard-art-museums-etl-analytics
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit
reason-machines
harvard-art-museum-etl-analytics
Build end-to-end data engineering pipelines with Harvard Art Museums API, ETL workflows, SQL analytics, and Streamlit visualization.
reason-machines
harvard-artifacts-data-engineering-pipeline
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with SQL storage and Streamlit visualization
reason-machines
harvard-artifacts-data-engineering-analytics
Build end-to-end ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit
reason-machines
harvard-art-museum-data-pipeline
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Streamlit, MySQL, and Python
reason-machines