Skill UI

Automates Jenkins Pipeline introductory tasks within the DevOps Basics domain, offering best-practice patterns, production-ready configs, and validation for foundational CI/CD, version control, and containerization workflows.

Automates Jigsawstack operations through Composio via the Rube MCP adapter, guiding users to discover current tool schemas, verify connections, and execute schema-compliant tasks safely.

Automate Jira tasks through Composio’s Rube MCP connector, covering issue search, creation, edits, agile boards, comments, projects, and user roles while always querying latest tool schemas.

Automate Jobnimbus tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automated guidance for jwt token validator tasks within the Security Fundamentals domain, offering step-by-step help, industry best practices, and production-ready code/configuration generation when you mention jwt token validator or seek secure authentication patterns.

Drive Kadoa tasks via Composio’s Rube MCP by fetching current tool schemas, ensuring active toolkit connections, and running schema-compliant tools with shared sessions and always-included memory.

Automate Keap CRM tasks through Composio’s Rube MCP toolkit, ensuring that tools are discovered, connections verified, and schema-compliant executions run before each workflow.

Guides operators how to automate Kickbox tasks using Composio’s Rube MCP interface, emphasizing always discovering current schemas via RUBE_SEARCH_TOOLS, confirming Kickbox connections, and invoking multi-tool execution with schema-compliant arguments plus session/memory handling.

Guides you through automating Composio Kit tasks via the Rube MCP workflow, emphasizing schema discovery, connection checks, and schema-compliant executions before running multi-tool operations.

Automate Klaviyo email and SMS campaign tasks through Rube MCP via Composio, covering campaign discovery, message inspection, tag management, and send-job monitoring with guided tool sequences and pagination advice.

This skill provides a comprehensive pattern for building robust, scalable, and fault-tolerant asynchronous video generation pipelines using Kling AI. It implements advanced software engineering patterns, including Redis queues (Producer/Consumer), State Machines, and event-driven callbacks. It is designed for managing complex, multi-step AI workflows—such as generate, extend, and download—ensuring reliable background task processing.

This module provides a compliance-grade, tamper-evident logging solution for tracking all Kling AI operations. It records task submissions, status changes, and credential usage into structured, hashed logs. Use this when meeting regulatory compliance requirements or preparing for internal/external security audits.