Agent Skills Hub

tool-design

Expert framework for designing agent-facing tools, optimizing tool descriptions, enforcing contract-based APIs, and implementing architectural reduction for reliable AI agent tool selection.

mcaf-architecture-overview

Maintains a centralized architecture overview with Mermaid diagrams to document system boundaries, module dependencies, and interface contracts for onboarding and refactoring.

openclaw-pr-maintainer

Automated OpenClaw repository maintainer: triage, label, and validate PRs/issues using gitcrawl and GitHub CLI.

self-improve

Self-maintaining skill for OpenCode agents to update documentation, capture learnings, and extend tool/agent capabilities dynamically.

sparc-methodology

SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.

writing-go-tests

Applies current Go testing best practices, including concurrent testing, mocking, and table-driven design for robust software development.

metadata-optimization

Optimize your App Store and Google Play metadata with expert ASO frameworks. Craft high-ranking titles, descriptions, and keyword fields to maximize search visibility and conversion rates for iOS and Android.

core-principles

Architectural governance and project standards for React 19 SPA development, ensuring consistency in stack integration, project structure, and agent execution rules.

writing-standards

A professional writing standard plugin for high-quality Korean technical content, enforcing omniscient 3rd-person perspectives, AI pattern elimination, and systematic citation systems.

reload

Clean up your current Claude Code session and automatically resume in a fresh, optimized terminal window.

lomb-scargle-periodogram

Analyze periodic signals in unevenly sampled astronomical time series data using the Lomb-Scargle periodogram method with the lightkurve library.

youtube_moderation_prototype

A prototype skill for automating YouTube live chat moderation using pattern-based detection for spam, toxic content, and rate limiting, optimized for testing agent reliability before deployment.