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Skills IA Bases de données

Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.

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11,977–12,000 sur 85,283

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Explorer

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.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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