Skill UI

This comprehensive guide provides step-by-step instructions to optimize localization spending on Lokalise. Learn how to audit current usage across projects and languages, minimize per-seat costs by managing contributor access, maximize Translation Memory (TM) hits, and efficiently triage Machine Translation (MT) to keep your localization projects well within budget.

This skill guides users on configuring advanced access controls within Lokalise Enterprise. It details how to implement fine-grained role-based access control (RBAC), manage complex permissions (Admin, Reviewer, Translator) using API calls, enforce language-level scoping, and handle team-level user assignments. Furthermore, it provides instructions for integrating Single Sign-On (SSO) and creating contributor groups for scalable enterprise management.

This comprehensive guide provides step-by-step instructions and complete code examples for setting up and configuring the MaintainX REST API. It covers best practices for generating API keys, setting up secure environment variables, and implementing robust client wrappers in both TypeScript and Python. Use this skill when integrating CMMS data (such as work orders, assets, and locations) into external applications.

This guide provides comprehensive, step-by-step instructions for installing and configuring the Manifest observability plugin for your AI agent. Users can use this skill to set up telemetry, connect the agent to Manifest for real-time monitoring, manage API keys, and troubleshoot various connection issues, ensuring full system observability.

Step-by-step instructions for automating Metaphor toolkits through Rube MCP, covering discovery, connection checks, execution, and schema-safe workflows for reliable results.

This guide provides comprehensive instructions for installing and configuring the official Mistral AI SDK (for both Python and Node.js). It covers setting up API keys via environment variables, verifying the connection, and implementing secure credential storage using Secret Managers (GCP/AWS) for production environments. Ideal for starting any new Mistral AI project.

Guides developers through OAuth2 Flow Helper tasks within Security Fundamentals by providing best-practice instructions, generating production-ready code/configs, and validating outputs for authentication, validation, and secure coding.

This comprehensive guide provides developers with step-by-step instructions for migrating applications from direct calls to proprietary Large Language Model (LLM) APIs (such as OpenAI or Anthropic) to utilizing the unified OpenRouter gateway. It details essential code changes, including updating base URLs, managing API keys, adding custom headers, and correctly prefixing model identifiers. This ensures a seamless transition, enabling multi-model compatibility and simplified API management.

Optimizes prompts for LLMs to cut token usage, lower costs, and boost response quality by analyzing, condensing, and rewriting instructions; useful when teams need faster, cheaper, clearer AI conversations.

This guide provides comprehensive instructions for deploying applications powered by the Perplexity Sonar API. It covers setup for major cloud platforms like Vercel, Google Cloud Run, and Docker. Users can deploy production-ready endpoints, manage required secrets, implement edge functions, and utilize caching mechanisms (e.g., Redis) to ensure high availability and performance in production environments.

This guide provides comprehensive instructions for installing and configuring the Perplexity Sonar API authentication. It details setting up the necessary environment variables and using the standard OpenAI client library (for both Node.js and Python) to connect to Perplexity's API endpoint. Learning this process is essential for developers starting a new Perplexity integration, setting up API keys, or verifying API connectivity.

This guide details the recommended pattern for managing per-project plugin settings and state within a development environment. Plugins store their configuration in a dedicated `.claude/plugin-name.local.md` file. This file utilizes YAML frontmatter for structured settings (like enabling flags, retry counts, and parameters) and a Markdown body for additional context or instructions. It provides techniques for reading these settings using Bash hooks, commands, and agents.