Explorar skills

Use when user invokes /lineage with a column name (optionally qualified with table/schema). Also triggers on "trace this column", "where does X come from", "what reads from Y table". Traces column-level data lineage through SQL, Kafka, Spark, JDBC, and ORM codebases. Produces a structured lineage path with confidence ratings and an SVG or ASCII diagram. Do NOT use for general code explanation — us

Auto-activate for litestar_saq imports, SAQPlugin, SAQConfig, QueueConfig, TaskQueues, CronJob, litestar workers run, background jobs, scheduled jobs, or SAQ web UI. Use when adding first-party SAQ background work to Litestar. Not for Celery, RQ, Dramatiq, raw SAQ outside Litestar, or custom PostgreSQL-native queues unless explicitly chosen.

Auto-activate for pytest_databases imports, conftest.py database fixtures, Docker-backed PostgreSQL/MySQL/SQLite/Oracle tests, or integration-test database lifecycle. Use when configuring pytest database containers and fixtures. Not for mocked databases or non-pytest test frameworks.

Auto-activate for sqlspec imports, SQLSpec, SQLFileLoader, driver adapters, query builders, named SQL files, filters, pagination, Arrow, framework extensions, ADK stores, data dictionary introspection, or observability hooks. Use when working with direct SQL through sqlspec across Litestar, FastAPI, Flask, or Starlette. Not for ORM-specific repository patterns or raw driver usage without sqlspec.

Auto-activate for Google ADK, LlmAgent, Runner, SQLSpecSessionService, Vertex AI, agent chat endpoints, streaming AI responses, tool-calling endpoints, or Litestar-hosted model workflows. Use when serving AI agents or model-backed workflows from Litestar. Not for offline ML training or non-Litestar agent servers.

Auto-activate for alembic/, alembic.ini, advanced_alchemy imports, SQLAlchemyAsyncRepositoryService, SQLAlchemyAsyncConfig, UUIDAuditBase, repository_type, service_class, or web framework Advanced Alchemy extensions. Use when working with Advanced Alchemy ORM models, repositories, services, Alembic migrations, filters, pagination, framework session wiring, custom types, caching, replicas, or file

Background knowledge about PieFed, the federated link aggregation and discussion platform (Python-based Reddit/Lemmy alternative in the Threadiverse). Covers PieFed's tech stack (Python/Flask, PostgreSQL, Celery/Redis, htmx, Jinja2, AGPL-3.0), the Lemmy-compatible ActivityPub implementation (Community as Group, Post as Page, Comment as Note, Like/Dislike voting, Announce relay pattern, ChatMessage

Auto-activate for SQLAlchemyAsyncRepositoryService, SQLSpecAsyncService, create_filter_dependencies, LimitOffsetFilter, OffsetPagination, repository_type, service_class, filters, pagination, or CRUD service layers. Use when implementing Litestar data services, repositories, filters, or pagination. Not for raw driver usage with no Litestar boundary.

Servidor MCP de memória persistente para Claude Code, auto-hospedado com n8n, PostgreSQL e pgvector. Não requer nuvem.

Auto-activate for sqlspec imports, SQLSpec, SQLFileLoader, driver adapters, query builders, named SQL files, filters, pagination, Arrow, framework extensions, ADK stores, data dictionary introspection, or observability hooks. Use when working with direct SQL through sqlspec across Litestar, FastAPI, Flask, or Starlette. Not for ORM-specific repository patterns or raw driver usage without sqlspec.

Auto-activate for pytest_databases imports, conftest.py database fixtures, Docker-backed PostgreSQL/MySQL/SQLite/Oracle tests, or integration-test database lifecycle. Use when configuring pytest database containers and fixtures. Not for mocked databases or non-pytest test frameworks.

Auto-activate for Google ADK, LlmAgent, Runner, SQLSpecSessionService, Vertex AI, agent chat endpoints, streaming AI responses, tool-calling endpoints, or Litestar-hosted model workflows. Use when serving AI agents or model-backed workflows from Litestar. Not for offline ML training or non-Litestar agent servers.