Explorar skills

Esta skill critica um documento de arquitetura a partir de 7 pontos de vista de especialistas distintos em paralelo, sintetizando as descobertas. É usada para uma crítica de conselho de revisão multiperspectiva quando o usuário fornece um architecture.md (com context.md e ADRs opcionais), gerando 7 subagentes e um sintetizador (Chair) sob demanda.

React 19 and TypeScript coding standards for Portfolio Buddy 2. Use when: writing new components, reviewing code, refactoring, or ensuring consistency. Contains component patterns, TypeScript rules, and best practices.

Expert prompt optimization for LLMs and AI systems. Use when building

Quick reference for Tailwind CSS utility patterns, responsive design, and configuration. Triggers on: tailwind, utility classes, responsive design, tailwind config, dark mode css, tw classes.

Migra prompts e código do Claude Sonnet 4.0, Sonnet 4.5 ou Opus 4.1 para o Opus 4.5. Atualiza strings de modelo e ajusta prompts para diferenças comportamentais conhecidas do Opus 4.5, mas não migra o Haiku 4.5.

· Write/debug shell commands, scripts, dotfiles, completions for zsh, bash, POSIX sh, fish. Triggers: 'shell', 'script', '.zshrc', '.bashrc', 'alias', 'completion', 'trap'. Not for CI blocks (use ci-cd).

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

Assess error handling, isolation boundaries, and recovery mechanisms in agent frameworks. Use when (1) tracing error propagation paths, (2) evaluating sandboxing for code execution, (3) understanding retry and fallback mechanisms, (4) assessing production readiness, or (5) identifying failure modes and recovery patterns.

Applied BCI research and neuro-informed content optimization using Meta's TRIBE v2 brain encoder. Predicts neural responses to media, UI, and content without brain scanners — enabling stimulus optimization, attention ranking, and BCI groundwork research. Use when: (1) Predicting neural responses to video, audio, or text content, (2) Ranking content by predicted brain engagement (visual cortex, att

Guide for implementing Grafana Mimir - a horizontally scalable, highly available, multi-tenant TSDB for long-term storage of Prometheus metrics. Use when configuring Mimir on Kubernetes, setting up Azure/S3/GCS storage backends, troubleshooting authentication issues, or optimizing performance.

Land and deploy workflow. Merges the PR, waits for CI and deploy, verifies production health via canary checks. Takes over after /ship creates the PR. Use when: "merge", "land", "deploy", "merge and verify", "land it", "ship it to production". (gstack)

Iterate on the Cardputer-Adv MicroPython app bundle (Claude Buddy, Snake, Hello) after the device is already provisioned via m5-onboard. Use when the user wants to add a new app, push a single changed .py without re-flashing, watch device serial logs, or run a one-shot REPL command. Trigger on "add an app", "push to the cardputer", "tail the device", "run on the device", or follow-up work after /m