Explorar skills

Automate Google Admin tasks via Rube MCP (Composio): user management, org units, groups, and domain administration. Always search tools first for current schemas.

Generates deployable checkout API code for a merchant's UCP integration. Supports Node.js (Express), Python (FastAPI), and PHP (Laravel) templates. Implements capability negotiation, session management, line item building, totals calculation, and payment handler integration. Use after ucp-profile and ucp-catalog are complete.

Integre o gerenciamento de segredos do 1Password nos fluxos de trabalho do Claude Code. Use esta skill para armazenar, ler, rotacionar ou gerenciar chaves de API e credenciais, configurar arquivos .env ou integrar o 1Password com outras ferramentas.

Automate Google Maps tasks via Rube MCP (Composio): geocoding, directions, place search, and distance calculations. Always search tools first for current schemas.

Production workflow framework for Claude Code — multi-agent orchestration, parallel worktrees, autonomous task execution, and compound engineering skills

Automate Google Slides tasks via Rube MCP (Composio): create presentations, add slides from Markdown, batch update, copy from templates, get thumbnails. Always search tools first for current schemas.

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

When the user wants to review past decisions, understand why something was built a certain way, audit decision quality, or learn from past reasoning. Use when the user says "why did we," "look back," "thinkback," "decision review," "was that the right call," "what were we thinking," "review our decisions," "decision audit," "trace back," "replay thinking," or when revisiting old code and needing t

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

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

Review spec-forge generated documents (tech-design + feature specs) for quality, completeness, and internal consistency. Finds issues like incomplete sections, contradictions, missing traceability, and vague specs, then optionally auto-fixes them. Supports iterative review-fix cycles with a maximum of 2 iterations.

AI Skills for Reaviz Projects