Agent Skills Hub

performance-security

Optimize React performance, implement security hardening, and ensure WCAG accessibility compliance with automated patterns and checklists.

Aphorisms

A comprehensive aphorism and quote management system for thematic content enrichment, research, and newsletter curation.

quality

Expert code reviewer for Rust projects. Performs comprehensive quality, security, performance, and architectural analysis using Bazel and project-specific conventions.

massive-context-mcp

Process massive files and large codebases (10M+ tokens) by recursively chunking, sub-querying, and aggregating results to overcome LLM context limits.

flutter-duit-bdui

Integrate, fix, and debug Duit/flutter_duit backend-driven UI (BDUI) in Flutter applications. Supports remote/static layouts, custom components, transport managers, and lifecycle debugging.

langgraph

Expert LangGraph architect skill for designing stateful, multi-actor AI agent workflows with robust persistence, conditional branching, and ReAct patterns.

upstash-vector-db-skills

Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.

food-diorama-skill

Generate artistic 3D city-themed food diorama images using Google Gemini API. Creates Pop Mart style four-quadrant layouts featuring iconic dishes, cultural symbols, and city-specific heritage elements.

draw-io

Specialized skill for creating, editing, and maintaining .drawio diagrams. Supports XML manipulation, layout optimization, AWS icon usage, and automated PNG conversion for documentation.

troubleshooting-docs

Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.

Global Documentation

Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.

eval

Evaluate Deca agent prompts and behavioral consistency through automated test runners, manual LLM judgment, and structured reporting.