Agent Skills Hub

paper-write

Drafts LaTeX research papers section-by-section using paper plans and research narratives with multi-model reviewer validation.

trench

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

music-theory-visual-design

Visual design and UI styling guidelines for the Harmonic Orbit music theory application, covering typography, color systems, spacing, animations, and accessibility standards.

example-data-processor

A modular data processing tool for cleaning, validating, and analyzing CSV files with support for custom transformations and automated dependency management.

vibe-orchestrator

Master workflow controller for Lovable-style, AI-driven development. Instantly generates premium, multi-page, animated applications by routing to specialized sub-agents. No prompts needed—just build.

brainwriting

Structured parallel brainstorming agent for ideation and conceptual expansion. Uses multi-agent perspectives to evolve vague ideas into practical, actionable visions. Ideation only, not for task planning.

local-skills-mcp-guide

Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.

analyzing-research-documents

Systematically extract insights, decisions, and constraints from research documents, technical papers, and architectural design files.

write-e2e-cases

Automate the creation and maintenance of Rsbuild E2E tests, ensuring feature coverage and regression prevention through Playwright.

ralph

Convert markdown PRDs into structured prd.json files for the Ralph autonomous AI agent system to enable repeatable, context-aware software development.

scope-options

Plan mode on steroids. Push engineers to think with a product mindset before building with structured intake and concrete technical options.

context-fundamentals

Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.