Skill UI

This comprehensive script suite provides a structured, multi-step audit for internationalization (i18n) integrations using Lokalise. It automates crucial checks, including verifying translation coverage across all required locales, detecting key synchronization issues (missing or orphaned keys) between the source code and the Translation Management System (TMS), and validating the format of localized files. Use this utility before any major production deployment or go-live phase to ensure localization readiness.

Automates Mailbluster workflows through Composio using Rube MCP steps for tool discovery, connection checks, and multi-tool execution while emphasizing schema awareness.

Automate Mezmo operations through Composio’s Rube MCP by discovering the latest tool schemas, ensuring an active Mezmo connection, and orchestrating executions via the recommended multi-step workflow while reusing sessions and handling pagination.

Automates Moz tasks through Composio’s Rube MCP workflow by discovering tool schemas, validating toolkit connections, and sequencing multi-step executions while respecting session and memory requirements.

This advanced workflow emulates an elite Senior Software Engineer and Senior Product Designer, ensuring maximum quality output. It enforces a rigorous, multi-step process including ultra-fast planning, solid architecture design, TDD implementation, clean code refactoring, technical auditing, and crucially, mandatory pixel-perfect UI/UX validation. Use this for complex projects demanding both robust code and flawless visual presentation.

This skill generates Mermaid diagrams to create visual organizational tools specifically designed for neurodivergent individuals, particularly those with ADHD. It helps externalize executive functions, reducing cognitive overwhelm by breaking down complex tasks into compassionate, manageable micro-steps. The tool auto-detects signs of distress and supports multiple accessibility modes (e.g., colorblind-safe, monochrome), making it useful for project planning, decision mapping, and personal productivity tracking.

Implements standardized function/tool calling across various large language models (LLMs) via OpenRouter. This unified approach allows developers to build sophisticated, multi-step agents and complex workflows, regardless of the underlying provider (e.g., GPT-4o, Claude 3.5). It simplifies the process of achieving structured output and tool-augmented reasoning in production systems.

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.

This guide details the process of migrating search and LLM functionalities from legacy APIs (Google CSE, Bing, SerpAPI) to Perplexity Sonar. It demonstrates how to utilize the Strangler Fig pattern to build a robust adapter layer. The primary benefit is consolidating a complex, multi-step pipeline (Search -> Raw Results -> LLM Summarization) into a single, efficient API call, ensuring automatic citation handling and streamlined development.

Automate Pipeline CRM operations through Composio’s Pipeline CRM toolkit by orchestrating Rube MCP searches, connections, and multi-step executions so workflows stay schema-compliant and reusable.

This skill allows AI agents to manage complex, multi-step projects and research tasks using persistent markdown files (`task_plan.md`, `findings.md`, `progress.md`) stored directly in the project directory. It simulates external, long-term working memory, ensuring that project context and accumulated findings survive context window loss, session restarts, or explicit context clearing. Ideal for large-scale coding, research, or multi-phase development efforts.

Base Refly ecosystem skill that routes user intents to domain-specific skills, runs workflows via the CLI, and automates multi-step tasks or pipelines by delegating execution to the Refly backend while providing CLI-specific triggers and commands.