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.

lgtm

Launch lgtm TUI to review markdown files, code plans, or documentation with line-by-line commenting, syntax highlighting, and collaborative feedback workflows.

subagent-driven-development

Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.

taskery

Generate comprehensive instructions for AI agents to operate the Taskery local Kanban board, including CLI, API, and concurrency management.

self-reviewer

Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.

long-running-agent

Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.

ci

Automated CI/CD incident response, failure analysis, and remediation for GitHub Actions pipelines. Resolves build and test failures with safety guardrails.

github-copilot-agent-tips-and-tricks

Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.

release-notes-generator

Automate release note generation from git commits. Categorizes changes, transforms technical jargon into user-friendly summaries, and supports CHANGELOG.md, PR bodies, and Slack announcements.

Create New Skills

A framework for creating reusable Claude Code agent skills, following best practices for directory structure, progressive disclosure, and multi-file patterns.

plan

Structured 6-phase workflow for planning and implementing features, skills, and architectural changes with automated tool discovery and safety verification.

dyad:swarm-pr-review

Collaborative PR review using a swarm of three specialized AI agents (Correctness, Health, UX) that discuss findings and reach consensus before posting a structured summary with inline comments.