Agent Skills Hub

memov

AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.

codex-cli

Orchestrate Codex CLI for efficient parallel coding, task automation, and session-managed workflows to optimize token usage and development speed.

server-actions

Expert skill for Next.js Server Actions, covering form handling, data mutations, revalidation, and optimistic UI updates in the App Router.

trench

High-performance Solana meme coin trading for AI agents: sniping, MEV-protected execution, rug detection, and automated position management.

markitdown

Convert diverse file formats like PDFs, Office docs, images, audio, and web content into clean Markdown, specifically optimized for LLM ingestion, RAG pipelines, and automated text analysis workflows.

ui-styling

Build accessible, consistent UIs using shadcn/ui and Tailwind CSS. Employs a component-first architecture for design systems, React Hook Form integration, and responsive mobile-first development.

diagram

Maintain and synchronize Unified Impact Diagrams using the Diagram Driven Development (DDD) methodology to connect technical architecture with user value.

seaborn

Statistical visualization library for Python. Create publication-quality graphics like box plots, heatmaps, and violin plots with pandas integration and automatic statistical estimation.

claude-opus-4-5-migration

Migrate your codebase, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to the advanced Opus 4.5 model with automated configuration adjustments.

spec-miner

Reverse-engineering specialist for codebase analysis, dependency mapping, and specification extraction from legacy or undocumented systems.

interactor-workflows

Build and execute state-machine based automations with human-in-the-loop support for complex, multi-step business processes.

scikit-learn

Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.