Skill UI

This workflow systematically analyzes deployed AWS resources and Infrastructure-as-Code (IaC) definitions. It collects usage metrics from CloudWatch and Cost Explorer to identify over-provisioning, unused resources, and inefficient configurations (e.g., right-sizing EC2, S3 lifecycle policies). It generates actionable cost optimization recommendations and creates structured GitHub issues for tracking and implementing savings.

This skill provides a comprehensive, step-by-step workflow for generating complete Power BI reports from scratch. It guides the user through model discovery, KPI selection, page layout, visual placement, data binding, and publishing, offering rich control over the entire reporting lifecycle using the pbir command-line interface.

A comprehensive command-line interface (CLI) for the full lifecycle management of Power BI reports. This tool enables users to explore, create, format, validate, and publish reports using programmatic commands, supporting both Power BI Desktop integration and seamless publishing to Fabric. It is essential for automating report generation and ensuring data model integrity.

This comprehensive guide covers the entire lifecycle of Power Query M expressions within semantic models. Learn how to author correct M code, optimize performance using query folding techniques, validate syntax, and test expressions against live data sources. It provides best practices for data filtering, type handling, and building robust, efficient data pipelines.

This guide provides a comprehensive workflow for managing the refresh lifecycle of semantic models and datasets in Power BI/Fabric. It details how to use the enhanced REST API and Fabric CLI to trigger specific refresh types (e.g., full, dataOnly, calculate), validate data baselines, monitor status, and handle post-refresh validation, ensuring data integrity and proper pipeline orchestration.

Provides a structured framework for auditing Power BI reports across three lifecycles: development, testing, and active use. It assesses report quality, data usage adoption (e.g., user reach, view trends), and technical performance (load times), generating actionable recommendations for developers and consultants aiming for optimal data insights.

Provides comprehensive guidance for managing the entire lifecycle of tabular data models (e.g., Power BI, Analysis Services). This skill covers design (star schema, relationships), building (measures, calculated groups), refreshing (incremental refresh), and auditing (performance, best practices). It enforces a systematic 'tool cascade,' routing operations through the dedicated CLI first, then to model servers, and finally to TMDL authoring, ensuring optimal model quality and adherence to industry best practices.

This Main Agent acts as a central orchestrator for a specialized squad of AI agents, managing complex software development lifecycles. It guides projects through defined phases—from requirements gathering and planning to architecture, implementation, testing, and deployment. It maintains strict context discipline by summarizing agent outputs and referencing full artifacts, ensuring efficient, structured, and non-overwhelming communication to the user.

A comprehensive guide for utilizing the Android Command Line Interface (CLI) tool. This skill covers the entire Android development lifecycle, enabling users to perform tasks such as project creation, managing SDK components, interacting with physical devices, running emulators, and inspecting UI layouts directly from the command line.

A comprehensive playbook for optimizing the entire lifecycle of pull requests. It guides developers through systematic pre-flight cleanup, critical self-audits, local test verification, and structuring high-signal PR descriptions to ensure code quality and fast maintainer approval.

A comprehensive guide to creating a robust API versioning strategy document. It helps service teams define consistent rules for evolving their APIs over time, covering versioning schemes (URL path, headers), lifecycle policies (Stable, Deprecated, Sunset), and classifying breaking changes. Essential for maintaining backward compatibility and managing API deprecation.

This skill generates a complete, actionable CI/CD playbook, thoroughly documenting the entire software deployment lifecycle. It covers essential stages like build & linting, unit/integration testing, security scanning, and phased deployment to staging and production. The output provides clear guidelines on required inputs, automated gates, manual approvals, and necessary rollback procedures, which is crucial for engineering documentation and team onboarding.