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数据库 AI 技能

发现 数据库 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

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显示第 74,137–74,160 个,共 85,283 个

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GitHub

refresh-content

AppleLamps

Guide content sync operations for X posts and YouTube videos. Use when user mentions "refresh feed", "sync posts", "update videos", "fetch latest", or asks about content pipeline.

GitHub

db-migrate

AppleLamps

Create database migration scripts following project patterns. Use when user mentions "migration", "add column", "alter table", "schema change", or "database update".

GitHub

new-api-route

AppleLamps

Scaffold new Next.js API routes with proper patterns. Use when user mentions "create endpoint", "new API route", "add route", or "API for".

GitHub

build-check

AppleLamps

Run build and lint verification before deployment. Use when user mentions "check build", "verify", "pre-deploy", "ready to deploy", or asks to validate the project.

GitHub

neon-db-security-check

AppleLamps

Review Neon (Postgres) project security posture using project details like roles/users, connection strings, branches, IP allowlists, integrations, and schema info. Use when asked to identify misconfigurations,...

GitHub

new-component

AppleLamps

Scaffold React components with TypeScript and Tailwind. Use when user mentions "create component", "new component", "add component", or describes a UI element to build.

GitHub

instance-resource-design

colingwuyu

Guide for designing Instance resources in OptAIC. Use when creating DatasetInstance, SignalInstance, ExperimentInstance, ModelInstance, PortfolioOptimizerInstance, or BacktestInstance. Covers definition referen...

GitHub

quant-resource-patterns

colingwuyu

Follow these patterns when implementing quant domain resources like Dataset, Signal, Alpha, Portfolio, Strategy, Universe, Backtest, or MonitoringRun in OptAIC. Use for creating DB models, DTOs, services, and t...

GitHub

governance-patterns

colingwuyu

Follow these patterns when implementing governance operations (copy, branch, transfer, promote, merge) in OptAIC. Covers artifact handling, RBAC mutations, lineage tracking, and activity emission.

GitHub

activity-logging

colingwuyu

Follow these patterns when implementing activity emission and audit logging in OptAIC. Use for emitting ActivityEnvelopes on mutations (create, update, delete, execute), designing payloads, and ensuring audit c...

GitHub

mlops-patterns

colingwuyu

Follow these patterns when implementing MLOps features in OptAIC. Use for ML model definitions (5-component structure), model instances, training/inference pipelines, model registry, and monitoring. Covers sign...

GitHub

optaic-v0-migration

colingwuyu

Guide for porting code from optaic-v0 to optaic-trading. Use when migrating DataAPI, pipelines, stores, accessors, operators, or expressions into the Resource/Activity architecture. Covers pattern mappings for...

GitHub

sdk-patterns

colingwuyu

Follow these patterns when extending the OptAIC Python SDK with new domain operations. Use for adding client methods for datasets, signals, portfolios, backtests, and other resources. Covers async/sync interfac...

GitHub

run-resource-design

colingwuyu

Guide for designing Run resources in OptAIC. Use when creating PipelineRun, ExperimentRun, BacktestRun, PortfolioOptimizationRun, TrainingRun, InferenceRun, or MonitoringRun. Covers execution tracking, metrics,...

GitHub

definition-resource-design

colingwuyu

Guide for designing Definition resources in OptAIC (the "Law"). Use when creating PipelineDef, StoreDef, AccessorDef, OpDef, MLModuleDef, or PortfolioOptimizerDef. Covers interface_spec, input/output schemas, c...

GitHub

gui-develop-patterns

colingwuyu

Design patterns, rules, and procedures for developing GUI features in `apps/web`. Covers migration from `optaic-v0` legacy design and new `ApiClient` integration patterns.

GitHub

sdk-e2e-testing

colingwuyu

Strategy and patterns for designing and implementing End-to-End scenario tests using the Python SDK. Focuses on full-stack verification and SDK usability.

GitHub

data-pipeline-patterns

colingwuyu

Follow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC. Use for point-in-time (PIT) correctness, Arrow schemas, quality checks, and Prefect orchestration.

GitHub

guardrails-contracts

colingwuyu

Follow these patterns when designing guardrails validation contracts in OptAIC. Use for signal bounds, dataset schemas, portfolio constraints, PIT validation, and other domain-specific validation rules. Covers...

GitHub

specification-driven-development

betamatt

This skill should be used when the user asks about "spec methodology", "specification workflow", "spec-driven development", "how to write specs", "spec best practices", "specification templates", or needs guida...

GitHub

code-review-patterns

betamatt

This skill should be used when the user asks about "code review best practices", "how to review code", "review methodology", "code review framework", "impact prioritization", "root cause analysis", or needs gui...

GitHub

rails-testing

betamatt

This skill should be used when the user asks about "Rails testing", "RSpec", "Minitest", "request specs", "system specs", "FactoryBot", "fixtures", "test coverage", "testing controllers", "testing models", "int...

GitHub

rails-conventions

betamatt

This skill should be used when the user is working in a Rails 7+ application and asks about "Rails conventions", "naming conventions", "Rails structure", "Hotwire patterns", "Turbo frames", "Stimulus controller...

GitHub

activerecord-patterns

betamatt

This skill should be used when the user asks about "ActiveRecord", "database queries", "query optimization", "N+1 queries", "eager loading", "associations", "migrations", "database indexes", "SQL performance",...

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