Skill UI

This skill structures a highly controlled, bounded development life cycle for AI agents. It mandates a structured three-phase workflow: Planning (Spec), Implementation (Build), and Verification (Review). It is essential for building complex features from scratch, especially when dealing with ambiguous requirements, high risk, or needing explicit human approval gates to ensure the resulting code meets all defined specifications.

A static analysis tool that audits SQL code for common cost and performance anti-patterns (e.g., full-table scans, Cartesian joins). It calculates a query health score (0-100) for data warehouses like BigQuery, Snowflake, and Redshift, providing a prioritized, actionable plan with concrete fixes and estimated cost savings. Essential for FinOps and data quality assurance.

This skill helps diagnose, repair, and prevent complex Drizzle Kit database migration conflicts. It addresses issues arising from merging branches, rebasing, or PR updates involving generated SQL, snapshots, and journals. Use it to ensure stable schema evolution in multi-developer teams and harden CI/CD workflows.

This skill runs a read-only audit to assess production deployment readiness. It reviews release artifacts, migration changes, configuration gaps, and potential risks (including rollback feasibility and launch blockers) before actual deployment or merging. It helps reduce coordination failures and ensures a safe release cycle.

Inclusive Design addresses who might be excluded by product assumptions, going beyond basic accessibility standards (WCAG). It ensures designs respect the real-world context, identity, language, culture, economic constraints, and cognitive load of the user. Use this skill when considering globalization, low-bandwidth use, diverse user populations, or first-time, low-confidence users.

A powerful tool for querying individual-level genotype data from the extensive 1000 Genomes Project dataset (GRCh38). This skill allows users to identify specific genetic variants within a region or to pinpoint which individuals carry variants matching complex criteria (e.g., specific allele frequencies, clinical significance). It is essential for genetic association studies, population genetics, and assessing individual relatedness.

This skill provides utilities to manage and drain the deliberation queue (brain_frames) of the ACC system. It allows users to list waiting frames, retrieve necessary context, perform deliberation on open tasks, and submit continuations using `acc_act(runtime="continue")`. It is essential for checkpointed work saved by headless runs, ensuring continuous task resolution and calibration against predicted outcomes in complex AI workflows.

This skill generates robust, production-grade Appium automation scripts for both Android and iOS. It supports multiple languages (Java, Python, JavaScript) and guides users through best practices for cross-platform testing, including proper locator strategies, explicit waiting, and complex gestures. Ideal for automating mobile QA processes on local emulators or cloud real device farms.

A comprehensive skill for managing AWS operational excellence, cost governance, and observability. It provides guidance on pre-deployment cost estimation (TCO), detailed spending analysis using Cost Explorer, setup of CloudWatch alarms, auditing activity via CloudTrail, and overall security posture assessment. Essential for optimizing cloud spending and ensuring reliable infrastructure.

A comprehensive Rust client library for integrating with Azure Service Bus. It allows developers to send and receive messages reliably using both point-to-point queues (for competing consumers) and publish-subscribe topics. This skill is essential for building robust, event-driven, and highly available distributed applications in Rust that require durable message passing within the Azure cloud environment.

This comprehensive tool performs an architectural audit of a codebase, mapping module dependencies, checking layering integrity, and flagging structural decay. Drawing on classic engineering principles (like Conway's Law and Testability Seams), it provides a deep assessment of the project's health and structure. Ideal for large-scale code reviews or onboarding new developers.

This skill provides a comprehensive tech debt assessment, identifying, classifying, and prioritizing core maintainability issues. By drawing on classic engineering principles, it helps teams build a structured refactoring roadmap, optimizing code health and development velocity.