Explorar skills

Pesquise voos (Aviasales), pacotes turísticos (Travelata + Level.Travel) e excursões (Sputnik8) com preços reais e links para reserva. Utilize quando o usuário perguntar sobre viagens, voos, passagens aéreas, hotéis, pacotes, excursões, férias ou planejamento de viagens.

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.

Challenges the user's reasoning, assumptions, or proposals — a thinking sparring partner that pokes holes without the full critic workflow. Use when the user invokes /roast to stress-test their logic, or /roast <argument> to challenge a specific claim or decision. Not a review of artefacts — a challenge to thinking.

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.

Generate launch readiness checklists for product releases. Covers engineering, QA, design, legal, marketing, support, and rollback planning. Adapts to launch size (feature flag, beta, GA) and AI/ML-specific requirements.

Review changed code (diff, files, or directory) against layered, stack-aware checklists plus plan- and lesson-aware dynamic checks. Stateless side-skill — chat-only output, no plan-lifecycle status, no persistent report.

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.

Generate end-to-end PM case studies from real AI product launches, pivots, and decisions. Analyzes what happened, why, what the PM likely decided, trade-offs made, and lessons learned.

Use when you need guidance on Team-Shinchan agents, skills, or memory system.

Synthesize user interviews, survey results, feedback, and support tickets into structured insights. Identifies themes, pain points, and opportunities. Generates research reports ready for stakeholders.

DevelopersIO article writing and Contentful publishing assistant. Use "/devio article <topic>" to draft a new article, or "/devio publish <file>" to publish to Contentful.

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.