Skill UI

Automates Printautopilot tasks via Rube MCP on Composio by guiding tool discovery, connection validation, and schema-compliant executions to safely run workflows.

Design, analyze, and refine Azure infrastructure through natural language prompts, generate interactive architecture diagrams locally with bundled scripts, and produce deployable Bicep templates to automate infrastructure-as-code workflows.

This meta-skill automates the process of handling a GitHub issue by fetching context, delegating the fix to a sub-agent, summarizing the resolution, and finally opening a pull request (PR). It is best suited for small, well-scoped issues with clear acceptance criteria. This pipeline simulates a complete development workflow.

This utility executes an autonomous, iterative loop, simulating a comprehensive agent workflow. It systematically manages tasks by checking current status, predicting the optimal next action using specialized tools, executing the required task (e.g., coding, testing), logging the progress, and scheduling the next iteration. It supports task discovery from multiple sources, including team tasks, swarm tasks, and file checklists, ensuring continuous, automated progress towards a defined goal.

This skill automates the entire GitHub Pull Request (PR) review cycle, specifically targeting Copilot Code Review comments. It runs a robust loop: automatically triggering reviews, triaging open threads, dispatching parallel fixes that adhere to repo conventions, committing changes, and resolving comments. It continues iterating until the PR is deemed clean and ready for merge, minimizing manual effort and ensuring high code quality.

An advanced, automated pipeline designed for comprehensive, deep-dive Open Source Intelligence (OSINT) gathering and reconnaissance against authorized domains. It executes the full methodology—from passive data harvesting and subdomain discovery to multi-agent content fan-out, vulnerability identification (BOLA/IDOR), and automated findings generation. The output is a single, consolidated, multi-tab deliverable (XLSX), eliminating the need for manual follow-up or superficial reporting.

Learn to plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using Autopilot. Covers networking, security, scaling, cost optimization, and AI/ML inference deployment on Google Cloud Platform. Includes cluster management, observability, and infrastructure as code practices.