Explorar skills

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

Baseline overlay for substantial documentation authoring or restructuring: README, specs, ADRs, tutorials, how-to guides, reference docs, explanations, API docs, code comments, changelogs, and agent-facing docs. Use when the agent should classify doc type, ground claims in repo truth, and validate examples before finishing.

Automate News API tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Basin tasks via Rube MCP (Composio). Always search tools first for current schemas.

AI Skills for Reaviz Projects

Deep code-centric review of pull requests for the moving-frontend monorepo. Use when the user mentions reviewing a PR, triaging GitHub Copilot or CodeRabbit comments, doing a code review, or wants feedback on a team member's code. Also trigger for "리뷰", "PR 리뷰", "코드 리뷰", "review PR", "review this PR", "Copilot review", "GitHub Copilot review", or when a PR doc path or GitHub PR URL is provided. Pe

Esta skill implementa, usa ou explica o TurboQuant, algoritmo de quantização vetorial data-oblivious do Google para compressão de cache KV de LLMs. É aplicável para tópicos como compressão de cache KV, TurboQuant e redução do uso de memória de LLMs.

Automate customer engagement workflows including broadcast triggers, message analytics, segment management, and newsletter tracking through Customer.io via Composio

Automate ManyChat tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Digicert tasks via Rube MCP (Composio). Always search tools first for current schemas.

Acesso restrito ao PM: pergunte primeiro, nunca via subagente. Equipes de Agentes colaboram no planejamento e revisão apenas para decisões arquitetônicas, nos modos de planejar e revisar.

AI Skills for Reaviz Projects