Agent Skills Hub

pytest-runner

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

eval-harness

Official evaluation framework for AI agent sessions, implementing Evaluation-Driven Development (EDD) principles to ensure reliability.

test-skill

A testing fixture for validating AI agent skill configurations and detecting rule violations.

exploratory-testing-advanced

Advanced exploratory testing with SBTM, RST heuristics, and test tours. Use for investigating bugs, discovering unknown risks, and structured manual exploration.

flow-nexus-neural

Train and manage neural networks in distributed E2B sandboxes using the Flow Nexus platform, supporting custom architectures like Transformers, LSTMs, and GANs.

code-quality-standards

A professional code quality suite for software engineers, implementing SOLID principles, design patterns, refactoring techniques, and technical debt management to ensure clean, maintainable, and production-ready code.

verification-before-completion

Enforces a strict evidence-before-assertion protocol for coding agents, requiring fresh command-line verification output before any claim of completion, success, or bug fixes.

frontend

Frontend coding conventions for Preact and Tailwind. Use for web UI components in cluster applications.

user-stories

Write INVEST-compliant user stories with testable Given-When-Then acceptance criteria to bridge the gap between requirements and development.

new-analyzer

Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.

using-superpowers

The foundational skill for the Superpowers methodology. Ensures agents correctly identify and invoke required development skills before starting any task or conversation.

writing-agents

A framework for creating, testing, and managing autonomous AI subagents within project environments using Test-Driven Development principles.