Agent Skills Hub

Aphorisms

A comprehensive aphorism and quote management system for thematic content enrichment, research, and newsletter curation.

planner

Create structured, orchestrator-ready project plans with atomic tasks, sprint structures, and validation criteria for multi-task engineering projects.

mastra

Official Mastra framework guide. Master AI agent and workflow development with local documentation lookup, API verification, and TypeScript-based project management.

markdown-token-optimizer

Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.

plan-writing

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

fabric

Intelligent pattern selection for Fabric CLI, automatically choosing from 242+ specialized prompts for threat modeling, data analysis, summarization, and content creation.

aarnphm.github.io

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

docs-applying-content-quality

Standardizes markdown content with active voice, precise heading hierarchies, and WCAG AA accessibility compliance for documentation, web sites, and repository files.

frontend-to-backend-requirements

Standardize frontend communication by documenting data requirements and business rules for backend developers, ensuring clear alignment without dictating implementation details.

jina-cli

A powerful CLI for converting web content and search results into LLM-friendly formats like Markdown, text, or HTML using the Jina AI Reader API.

plantuml-ascii

Generate terminal-friendly ASCII art diagrams from PlantUML code. Ideal for text-based documentation, README files, and CLI-centric workflows.

requirements-clarity

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