Skill UI

A comprehensive guide to configuring and managing Groq API access across development, staging, and production environments. This skill establishes environment-specific configurations, ensuring optimal model selection, rate limit handling, and secure secret management (using AWS, GCP, Vault) for robust and scalable LLM integrations.

Automates integrating secrets managers like HashiCorp Vault and AWS Secrets Manager by producing secure configurations, IAM policies, and deployment guidance so you can manage sensitive credentials in DevOps workflows with best practices.

This guide details the best practices for configuring and isolating AI agents across development, staging, and production environments. It covers the setup of separate workspaces, secure secret management using tools like Vault/AWS/GCP, and integrating environment-aware logic into CI/CD pipelines to ensure data integrity and smooth promotion from dev to prod.

A robust pattern for configuring API clients to interact with Linear across multiple isolated environments (Development, Staging, Production). This setup ensures that environment-specific credentials (API keys, webhooks) are securely loaded from secret managers (Vault, AWS, GCP) and implements environment guards to prevent accidental operations in the wrong environment. Ideal for professional CI/CD pipelines.

A comprehensive guide for configuring localization services (Lokalise) across multiple deployment environments (development, staging, production). It details two strategies: dedicated projects or single-project branching. Focuses heavily on secure secret management using tools like AWS Secrets Manager, GCP Secret Manager, and HashiCorp Vault, ensuring that environment-specific configurations and translations remain isolated throughout the CI/CD pipeline.

Automates Membervault workflows via Rube MCP (Composio) by discovering current tool schemas, ensuring active toolkit connections, and executing schema-compliant actions with managed sessions.

This skill provides a comprehensive framework for configuring Mistral AI across distinct environments (development, staging, and production). It manages environment-specific secrets (using GCP, AWS, or Vault), defines critical parameters like default models, rate limits, and feature flags, ensuring secure, isolated, and reliable deployments for AI services in multi-stage pipelines.

Build and tune Obsidian Base files to define database-like views, filters, formulas, and summaries for notes, so you can craft tables, cards, lists, and dashboards inside your vault.

Control an open Obsidian vault from the CLI: read, create, append, search, manage metadata, run plugin/theme reloads, capture errors, and take diagnostics screenshots without leaving the terminal.

Master the art of building complex, production-grade user interfaces for Obsidian plugins. This guide covers implementing custom sidebar views (ItemView), interactive modal dialogs (for forms and confirmations), context menus, status bar widgets, and advanced editor commands. Learn how to interact with the Obsidian Vault API for file manipulation, significantly enhancing your plugin's functionality and user experience.

A comprehensive guide to managing and reducing costs associated with Obsidian's paid services (Sync, Publish) and external API calls from community plugins. Learn how to audit vault size, implement secure exclusion patterns for sync, and utilize coding techniques like caching and rate limiting to control usage fees from external services (e.g., AI).

A comprehensive guide for developers implementing robust data persistence and file handling within Obsidian plugins. It covers best practices for saving plugin configurations, reliable vault file I/O (read, write, append), safe manipulation of YAML frontmatter via metadata cache, and registering event listeners for file renames and deletions. Essential for building stable, data-intensive plugins.