Skill UI

Automate 2chat workflows through Composio’s toolkit using the Rube MCP bridge, starting with schema discovery, verifying connections, and executing schema-compliant tools while handling pagination and session reuse.

Provides WCAG 2.1 based accessibility audit guidance for web interfaces, covering perceivable, operable, understandable, and robust principles along with code snippets for alt text, contrast, keyboard, focus, and media alternatives.

Guides connecting Rube MCP to Composio’s Adyntel toolkit, searching for live tool schemas, validating connections, and executing multi-tool workflows while handling session reuse, memory, and pagination requirements.

Guides automating Affinda tasks through Composio's Rube MCP client, detailing connection setup, tool discovery, multi-tool execution, and reminders about schema searches, sessions, and pagination safety.

This skill provides comprehensive management for multiple local Command Line Interface (CLI) agents. It allows users to start, stop, monitor, and assign tasks to these agents, running them in separate tmux sessions for parallel execution. It is ideal for complex, scheduled workflows requiring multi-agent coordination, task monitoring, and log tailing, making it invaluable for advanced automation setups.

A systematic workflow designed to significantly improve the reliability and performance of existing AI agents. It covers detailed performance analysis, including gathering metrics (e.g., task success rate, latency), classifying failure modes, and advanced prompt engineering techniques (like Chain-of-Thought and Constitutional AI). The process culminates in structured A/B testing and controlled deployment, ensuring measurable, robust improvements.

An advanced AI-driven framework for holistic performance engineering of multi-agent systems. It provides coordinated profiling, workload distribution, and cost-aware orchestration across various domains (database, application, frontend). Use this tool to identify bottlenecks, improve throughput, enhance reliability, and manage resource constraints in complex agent workflows.

This skill defines the coordination protocol for multi-agent execution during development sprints. It governs how project architects must spawn specialized agents (e.g., backend, frontend, QA), manage dependencies via shared contracts, and collect comprehensive, structured reports. It ensures systematic, parallel, and controlled project iteration development.

Automates AI ML API workflows via Composio’s Rube MCP toolkit by searching available tools, validating the ai_ml_api connection, and executing RUBE_MULTI_EXECUTE_TOOL with schema-compliant arguments while handling sessions, memory, and pagination.

Use Composio’s Airtable toolkit through Rube MCP to automate creating, querying, and managing records, fields, schemas, and comments while following the required tool discovery, pagination, and limit-handling steps.

Automate Algolia tasks through Composio’s toolkit with Rube MCP; always search tools first, confirm active connections, and execute schema-compliant workflows with RUBE_MULTI_EXECUTE_TOOL while tracking sessions and pagination.

Automates Anchor Browser tasks through Composio by first discovering tools via Rube MCP, ensuring the Anchor Browser connection is active, and then executing schema-compliant workflows with session reuse and pagination handling.