Explorar skills

Exasol User Defined Functions (UDFs) and Script Language Containers (SLCs). Covers CREATE SCRIPT, SCALAR and SET functions, ExaIterator API, Python/Java/Lua/R scripts, BucketFS file access, GPU-accelerated UDFs, and building/deploying custom Script Language Containers with exaslct.

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Auto-activate for get_env, dataclass settings, pydantic_settings, BaseSettings, lru_cache settings factories, app.state settings, LITESTAR_APP, env var parsing, or typed app config. Use when defining Litestar settings, config factories, env loading, or settings injection. Not for frontend environment variables or deployment secrets management alone.

Use when you need DevOps work like CI/CD, Docker, deployment, or pipelines.

Structured technical PM framework for AI product roles. Covers: RLHF, evals, RAG, LLM deployment, system design, API design.

ProductionOS é um sistema operacional de engenharia de IA de duplo alvo, projetado para auditorias abrangentes de repositórios, planos de atualização, revisões de código, análises estratégicas de produtos, varreduras de segurança, auditorias de UX e melhoria recursiva da qualidade.

Fast-track an urgent fix through a streamlined pipeline. Skips Product/Feature Council, applies the fix, runs a focused review, and creates a PR with optional Deployment Council. Use for production bugs, security patches, or critical regressions that cannot wait for the full planning pipeline.

Auto-activate for litestar.toml, [tool.litestar], pyproject.toml with a litestar dependency, or app creation with Litestar(). Use when orienting a Litestar project, choosing the right Litestar subskill, or scaffolding app-level structure. Not for focused routing, DTO, auth, DI, data, settings, exceptions, middleware, plugin, realtime, AI, deployment, or testing work - use the narrower skill.

Auto-activate for get_env, dataclass settings, pydantic_settings, BaseSettings, lru_cache settings factories, app.state settings, LITESTAR_APP, env var parsing, or typed app config. Use when defining Litestar settings, config factories, env loading, or settings injection. Not for frontend environment variables or deployment secrets management alone.

Auto-activate for litestar.toml, [tool.litestar], pyproject.toml with a litestar dependency, or app creation with Litestar(). Use when orienting a Litestar project, choosing the right Litestar subskill, or scaffolding app-level structure. Not for focused routing, DTO, auth, DI, data, settings, exceptions, middleware, plugin, realtime, AI, deployment, or testing work - use the narrower skill.

Create a pull request for the current feature branch. Generates a PR description from commits, runs pre-submission checks, and optionally activates the Deployment Council for production-impacting changes. Use when your feature branch is ready to merge to main.

Use when a pull request is ready to merge — verifies CI and review status, syncs with the base branch, confirms with the user, then squash merges and cleans up. Trigger when the user says "merge this", "merge this PR", "squash merge", or "merge it". Works on any open PR — does not require /open-pr to have created it. If no PR exists, redirects to /open-pr. Does NOT deploy to any environment.