Skill UI

Automate deploying production-ready monitoring stacks like Prometheus, Grafana, and Datadog, delivering configuration files, deployment scripts, and guided instructions for infrastructure-focused observability setups.

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files

Provides practical advice on Dockerfiles, CI/CD pipelines, deployment strategies, infrastructure-as-code, and observability, helping teams containerize apps, configure GitHub Actions, plan production rollouts, and keep deployments secure and observable.

This expert provides advanced, practical knowledge across the entire lifecycle of containerized applications. Core expertise includes multi-stage Dockerfile optimization, container security hardening (non-root users, minimal attack surface), and advanced orchestration using patterns like Docker Compose. Ideal for ensuring robust, secure, and production-ready deployments.

Automates dockerfile authoring with best practices for DevOps basics, guiding users from containerization patterns to CI/CD-ready configurations while validating outputs against standards.

Guides users through writing, reviewing, and editing documentation with consistent structure, tone, and accuracy; ideal when creating README files, updating docs folders, or refining markdown drafts per contribution standards.

This resource provides a minimal working example for implementing a complete digital document signing workflow using the Documenso SDK. It comprehensively guides users through creating a document, uploading a PDF file, adding designated recipients, placing specific signature fields, and finally triggering the signing process via code examples (TypeScript, Python) or REST API calls. Use this when integrating document signing into new applications or testing core document management capabilities.

A comprehensive guide for setting up and managing Documenso across multiple deployment environments (Development, Staging, and Production). This skill details best practices for achieving environment isolation, implementing robust secret management (using .env files), creating environment-aware client factories, and setting up safety guards for secure, multi-stage deployments.

This guide provides comprehensive templates and best practices for structuring all types of technical documentation. It covers essential formats including README files, REST API endpoints, code comments (JSDoc), Changelogs, Architecture Decision Records (ADR), and AI-optimized documentation. Use these templates to ensure your project documentation is standardized, scannable, and easily consumable by both human developers and AI agents.

Provides a structured approach for creating, editing, and analyzing .docx files with tooling and best practices for tracked changes, comments, formatting, and text extraction, covering JavaScript document generation and Python OOXML editing plus markdown-based redlining.

Guides assistants through DOCX creation, editing, and redlining by describing when to unpack XML, use docx-js for new files, leverage the Document library for edits, and follow tracked-change workflows for reviews, including batching and precise OOXML edits.

Automates Dropbox file, folder, sharing, upload/download, search and metadata workflows via the Rube MCP (Composio) toolkit while always querying the latest schemas before invoking storage tools.