Agent Skills Hub

opencode

Expert guide for OpenCode AI: TUI commands, CLI operations, AGENTS.md configuration, custom agent workflows, and project setup.

data-extraction-patterns

Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.

ai-multimodal

Process and generate multimedia with Google Gemini. Analyze audio, images, videos, and PDFs with high-context windows. Supports transcription, visual QA, OCR, and AI-driven image creation.

testing

Run, debug, and manage DBHub tests including unit, integration with Testcontainers, and database-specific suites. Perfect for verifying code changes and troubleshooting database connector issues.

ui-design-review

Gemini-powered UI design review, accessibility auditing, and design system validation tool for software agents.

pptx-posters

Create professional research posters using HTML/CSS, optimized for PowerPoint/PPTX export and web-based previewing.

context-management

Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.

aesthetic

Create aesthetically beautiful interfaces using systematic design principles, AI-driven evaluation, and automated inspiration analysis.

terraform-diagrams

Generates cloud architecture diagrams directly from Terraform (.tf) files. Parses HCL, maps resource dependencies, and visualizes infrastructure automatically using Eraser.

updating-dawncaster-filters

Systematically updates Dawncaster card/talent browser filter dropdowns and mapping arrays when new game expansions are released, ensuring frontend data synchronization with the Blightbane API.

vvm

VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM acts as the runtime. Orchestrate multi-agent workflows, manage state, and build resilient AI pipelines.

deepwiki

Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.