Agent Skills Hub

dod

Definition of Done (DoD) verification workflow that triggers automatically upon implementation completion to ensure quality, document evidence, and standardize reporting.

jupyter-notebook-testing

Test Adobe EDS blocks interactively in the browser with Jupyter notebooks. Features ES6 imports, overlay previews, responsive device testing, and zero-dependency execution.

test-data-management

Strategic test data generation, management, and privacy compliance for scalable, secure, and realistic quality engineering workflows.

mutation-testing

Validate test suite effectiveness and uncover weak assertions by introducing code mutations and measuring kill rates. Essential for proving tests genuinely catch bugs rather than just satisfying coverage metrics.

testability-scoring

AI-driven web testability assessment using 10 core principles. Evaluates observability, controllability, and stability via Playwright and Vibium to identify testing bottlenecks and improve quality readiness.

test-writer

Generates comprehensive, best-practice unit tests for functions and classes, supporting multiple frameworks like pytest, unittest, and jest.

dumbwaiter-mcp

Provider-agnostic MCP skill for wait-for-change automation on PR events like status checks, merges, and comments.

holistic-testing-pact

Apply Holistic Testing with PACT (Proactive, Autonomous, Collaborative, Targeted) principles to build quality into team culture and test strategies for modern software systems.

cc-skill-project-guidelines-example

A template skill for creating project-specific AI agent guidelines, defining architecture, file structures, and code patterns for deterministic development.

Verification & Quality Assurance

A robust verification and QA system for software agents featuring real-time truth scoring, automated code validation, and instant rollback capabilities to maintain high reliability.

reverse-engineering-api

Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients for automation and data extraction.

pytest-runner

Automate pytest execution with built-in environment verification, failure analysis, coverage reporting, and intelligent test discovery.