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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 11,977–12,000 个,共 85,283 个

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GitHub

recall

yonatangross

Search and retrieve decisions and patterns from knowledge graph. Use when recalling patterns, retrieving memories, finding past decisions.

GitHub

advanced-guardrails

yonatangross

LLM guardrails with NeMo, Guardrails AI, and OpenAI. Input/output rails, hallucination prevention, fact-checking, toxicity detection, red-teaming patterns. Use when building LLM guardrails, safety checks, or re...

GitHub

rag-retrieval

yonatangross

Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, constructing context from retrieved documents, adding citations, or implementing hybrid search.

GitHub

llm-evaluation

yonatangross

LLM output evaluation and quality assessment. Use when implementing LLM-as-judge patterns, quality gates for AI outputs, or automated evaluation pipelines.

GitHub

reranking-patterns

yonatangross

Reranking patterns for improving search precision. Use when implementing cross-encoder reranking, LLM-based relevance scoring, or improving retrieval quality in RAG pipelines.

GitHub

hyde-retrieval

yonatangross

HyDE (Hypothetical Document Embeddings) for improved semantic retrieval. Use when queries don't match document vocabulary, retrieval quality is poor, or implementing advanced RAG patterns.

GitHub

query-decomposition

yonatangross

Query decomposition for multi-concept retrieval. Use when handling complex queries spanning multiple topics, implementing multi-hop retrieval, or improving coverage for compound questions.

GitHub

zero-downtime-migration

yonatangross

Safe database schema changes without downtime using expand-contract pattern and online schema changes. Use when deploying schema changes to production without service interruption.

GitHub

database-schema-designer

yonatangross

SQL and NoSQL schema design with normalization, indexing, and migration patterns. Use when designing database schemas, creating tables, optimizing slow queries, or planning database migrations.

GitHub

database-versioning

yonatangross

Database version control and change management patterns. Use when managing schema history, coordinating database changes across environments, implementing audit trails, or versioning database objects.

GitHub

connection-pooling

yonatangross

Database and HTTP connection pooling patterns for Python async applications. Use when configuring asyncpg pools, aiohttp sessions, or optimizing connection lifecycle in high-concurrency services.

GitHub

sqlalchemy-2-async

yonatangross

SQLAlchemy 2.0 async patterns with AsyncSession, async_sessionmaker, and FastAPI integration. Use when implementing async database operations, connection pooling, or async ORM queries.

GitHub

alembic-migrations

yonatangross

Alembic migration patterns for SQLAlchemy 2.0 async. Use when creating database migrations, managing schema versions, handling zero-downtime deployments, or implementing reversible database changes.

GitHub

semantic-caching

yonatangross

Redis semantic caching for LLM applications. Use when implementing vector similarity caching, optimizing LLM costs through cached responses, or building multi-level cache hierarchies.

GitHub

distributed-locks

yonatangross

Distributed locking patterns with Redis and PostgreSQL for coordination across instances. Use when implementing exclusive access, preventing race conditions, or coordinating distributed resources.

GitHub

caching-strategies

yonatangross

Backend caching patterns with Redis including write-through, write-behind, cache-aside, and invalidation strategies. Use when implementing Redis cache, managing TTL/expiration, preventing cache stampede, or opt...

GitHub

rnow-config

ReinforceNow

Configure ReinforceNow training runs with config.yml and train.jsonl. Also covers converting HuggingFace datasets to ReinforceNow format. Triggers on "config.yml", "train.jsonl", "training config", "batch_size"...

GitHub

remember

yonatangross

Store decisions and patterns in knowledge graph with optional cloud sync. Use when saving patterns, storing decisions, remembering approaches that worked.

GitHub

temporal-io

yonatangross

Temporal.io workflow orchestration for durable, fault-tolerant distributed applications. Use when implementing long-running workflows, saga patterns, microservice orchestration, or systems requiring exactly-onc...

GitHub

configure

yonatangross

Interactive SkillForge configuration wizard. Use when you need to configure SkillForge settings, MCP servers, or plugin options.

GitHub

tanstack-query-advanced

yonatangross

Advanced TanStack Query v5 patterns for infinite queries, optimistic updates, prefetching, gcTime, and queryOptions. Use when building data fetching, caching, or optimistic updates.

GitHub

api-design-framework

yonatangross

Comprehensive API design patterns for REST, GraphQL, and gRPC. Use when designing APIs, creating endpoints, adding routes, implementing pagination, rate limiting, or authentication patterns.

GitHub

issue-progress-tracking

yonatangross

Automatic GitHub issue progress updates from commits and sub-task completion. Use when tracking issue progress from commits or automating status updates.

GitHub

langgraph-human-in-loop

yonatangross

LangGraph human-in-the-loop patterns. Use when implementing approval workflows, manual review gates, user feedback integration, or interactive agent supervision.

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