Agent Skills Hub

aarnphm.github.io

A highly customized personal garden based on Quartz v4, featuring enhanced Markdown parsing, telescopic text, TikZ/pseudocode rendering, and Obsidian integration.

performance-analysis

Systematic performance engineering: baseline measurement, profiling, bottleneck diagnosis, and evidence-based optimization guidance for high-performance applications.

test-skill

A testing fixture for validating AI agent skill configurations and detecting rule violations.

gea

Manage, run, and update JS framework benchmarks for the Gea framework, including reporting, HTML result generation, and performance comparisons.

github-release-management

Intelligent GitHub release orchestration using AI swarms for automated versioning, multi-platform deployment, testing, and rollback management.

content-rewriter

Cross-platform content repurposing agent. Adapts a single source for Xiaohongshu, Zhihu, WeChat Official Accounts, and Douyin scripts with platform-native formatting, tone, and constraints.

regression-testing

Strategic regression testing with intelligent test selection, impact analysis, and continuous regression management for faster, more reliable software delivery.

jenkins

Manage Jenkins CI/CD pipelines via REST API. Trigger builds, monitor job status, view console logs, and manage nodes and queues directly from your terminal or AI agent.

testing-hashql

Guidelines for testing HashQL code using compiletest (UI tests), unit tests, and insta snapshots. Includes commands for --bless, annotation syntax, and strategies for compiler components.

everything-claude-code-cn

A comprehensive configuration suite for Claude Code, featuring production-grade agents, skills, hooks, and automated workflows optimized for high-intensity development.

n8n-workflow-testing-fundamentals

Comprehensive n8n workflow testing framework for lifecycle validation, node-to-node data flow, error handling, and performance benchmarking in automated environments.

mcp-builder

A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.