Agent Skills Hub

requirements-clarity

Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.

context-detection

Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.

sui

Debugs deterministic Sui simtest failures using automated logging and the scientific method.

chromium-docs

Search and reference Chromium documentation, including design docs, APIs, and development guides. Use to locate, browse, or learn about architecture, GPU, network, security, and testing concepts within the Chromium codebase.

building-logseq-plugins

Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.

dependency-upgrade

Manage major dependency upgrades through systematic compatibility analysis, staged rollout strategies, and automated testing.

repository-setup

Standardize git remote configuration and issue tracking for contributors working with forked repositories in the libuipc project.

api-design-principles

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers.

design

Collaborative UI design, wireframing, and Tailwind-first code polish to build distinctive, high-quality interfaces without AI slop.

skill-template

A standardized template for creating and documenting modular Agent Skills to ensure consistent, efficient context engineering across AI agent systems.

mcp-tools

Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.

receiving-code-review

Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.