Agent Skills Hub

image-generation

Generate high-quality visual content, characters, and scenes using structured JSON prompts and automated Python execution for guided image synthesis.

git-worktrees

Manage Git worktrees for parallel feature development. Automates environment setup, branch hierarchy enforcement, and workspace cleanup based on Langstar's issue-driven workflow.

structured-outputs-advisor

Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.

persona

An AI-driven framework for crafting bespoke, authentic portfolio websites from scratch. Guides agents through research, design, and code implementation to build unique developer and professional sites.

session-init

Initializes a development session with environmental health checks, task status synchronization, and contextual memory restoration for Claude Code.

github-navigator

GitHub operations via gh CLI. Use for repository inspection, issues, PRs, releases, and deep codebase analysis including cloning for architectural insights.

webapp-testing

Toolkit for testing local web applications using Playwright, featuring server lifecycle management, automated DOM inspection, and browser automation workflows.

LifeOS

A comprehensive personal life management system using Todoist for task tracking, Logseq for journaling, and AI-driven insights for productivity.

context-engineering-collection

A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.

xp-practices

Implement Extreme Programming (XP) practices including TDD, pair programming, and continuous integration to enhance team collaboration and technical excellence in software engineering.

plan-writing

Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.

cascade-orchestrator

Advanced workflow orchestration for AI agents, featuring multi-model routing, Codex sandbox iteration, parallel swarm execution, and persistent memory across complex pipelines.