Skill UI

Inventory and govern a project's test assets. Connect requirements, business rules, risks, bugs, and cross-boundary contracts to stable TEST-IDs and executable evidence in the repository's existing test registry or TESTS.md. Use for test inventory, test gap analysis, unit/integration/contract/E2E/smoke classification, bug-to-test regression protection, consumer/provider contract testing, test-necessity review, and pre-delivery evidence review.

This skill helps design and review API contract tests between providers and consumers. It focuses on verifying wire-level behavior during schema changes, compatibility regressions, and client integration failures. By using local fixtures and existing tools, it ensures type assertions alone are not validation. It classifies changes as breaking or compatible, builds test matrices for various scenarios, and verifies boundaries without provisioning new services.

This skill verifies Python code changes by running mutation testing on modified lines. It ensures every mutant is caught by tests, generating evidence of coverage rather than diffs. It helps confirm that new code is properly tested before completion, using pytest and mutation analysis to validate behavior and trust the change.

This skill covers Quarkus-specific testing features including zero-config containers for databases like PostgreSQL and Kafka. It explains how to use annotations like @QuarkusTest, @QuarkusIntegrationTest, and @InjectMock for unit and integration testing. It also details test resources, profiles, continuous testing, and running tests with Maven. Ideal for developers writing or fixing tests in Quarkus projects.

Turn trading ideas into tested strategies with backtesting, paper trading, and optional live deployment via Krexa's MCP server. Supports crypto venues like Solana, Hyperliquid, and Polymarket.

Fast Rust-based browser automation CLI for AI agents, driving Chrome/Chromium via CDP with accessibility-tree snapshots. Handles navigation, form filling, clicking, screenshots, data scraping, web app testing, plus Electron apps, Slack, and cloud browsers.

Measure a dataset's detection floor before interpreting any trading-signal backtest. Pre-registers every trial in an append-only registry, adjusts for multiple testing, and reports effects below the floor as UNDECIDABLE rather than 'no effect'.

Manage Azure Logic Apps Standard projects via Azure CLI. Supports workflow creation, testing, deployment, and debugging with identity-based connections. Requires Azure CLI 2.67.0+ and Python 3.10+. Ideal for Standard workflow authoring and lifecycle operations, excluding Consumption-only workflows.

This skill acts as an interactive brainstorming engine for the Elephant & Goldfish Model (EGM). It transforms raw concepts into structured hypotheses through clarifying questions and automated multi-lens reviews. The process iteratively refines ideas into RFC summaries ready for human review or detailed design. It emphasizes stress-testing, avoiding bias, and delivering artifacts first to ensure robust product development.

This skill drafts technical design documents section-by-section based on brainstorm concepts or user notes. It guides users through the Elephant-Goldfish (EGM) feature flow after requirements alignment. The skill enforces artifact-first delivery, plain English communication, and rigorous stress-testing of ideas. It ensures design decisions are made by the author with clear trade-offs, avoiding flattery and ensuring objective scrutiny before agreement.

Orchestrates the EGM Goldfish Review Protocol for design document reviews. Executes five phases including Initial Zoom Out, Comprehension, Design Critique, and Implementation Readiness. Validates ideas through specialized reviewer personas, stress-testing concepts and eliminating sycophancy. All outputs must be artifact-first, written to files rather than chat.

Stress-test UI components with realistic worst-case data through a development-only fixture toggle, map every rendered value, verify failures, and report issues before fixing.