Agent Skills Hub

supermemory

Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.

image-rotator

Reliably rotate images by 90-degree increments using a deterministic Python script. Supports PNG, JPG, GIF, BMP, and TIFF, preserving quality with automated file handling.

xrk-bot

Expert for XRK-AGT runtime core, bot main class, event bus, server startup (HTTP/WS), and global object management.

writing-go-tests

Applies current Go testing best practices, including concurrent testing, mocking, and table-driven design for robust software development.

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.

mermaid-diagram-generator

Generate, validate, and refine Mermaid diagrams including flowcharts, sequence diagrams, ERDs, and architecture maps to visualize complex software systems and workflows.

production-deployment-phase

Automates production deployment workflows with version management, health checks, release tagging, and post-deployment monitoring.

npm

Automate non-interactive npm package installations by piping shell confirmations to bypass prompts.

bazinga-db-core

Manage database orchestration sessions, state snapshots, and system-level operations for the BAZINGA-DB core engine.

evidence-first-debugging

Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.

tdd-workflow

A rigorous TDD workflow agent that enforces test-first development, ensuring 80%+ code coverage across unit, integration, and E2E tests for features, bug fixes, and refactoring.

rag-engineer

Architect and optimize production-grade RAG systems. Master embedding models, vector databases, chunking strategies, and retrieval pipelines for high-accuracy LLM applications.