Agent Skills Hub

tamagui-best-practices

Tamagui library best practices for architecture, configuration, compiler optimization, and component patterns.

moollm

A microworld operating system for LLM-based agent living memory, transforming filesystems into navigable rooms and code into habitable worlds.

PRISM.unified

UI component patterns and touch input handling for M5Stack Tab5 applications using M5GFX and LVGL.

stripe-patterns

Stripe payment integration patterns for checkout, webhooks, and subscriptions. Ensures safe API usage, idempotency, signature verification, and testing compliance.

swagger-petstore-openapi-3-0

A structured API interface for the Swagger Petstore, optimized for AI agents to interact with resources like pets, users, and store orders using on-demand documentation loading.

handoff-pack

Generates structured Handoff Pack prompts for delegating scoped coding tasks to Gemini with clear instructions, acceptance criteria, and output requirements.

template-generator

Generate structured configuration files and formatted output by injecting user data into pre-defined project templates.

ms365-tenant-manager

Expert Microsoft 365 tenant administration skill for setup, user lifecycle, security policy configuration, compliance, and automated PowerShell scripting for Global Administrators.

ocr

Extract text from images using the Tesseract OCR engine, supporting multiple languages, image preprocessing, and various formats.

hs

Pre-execution security guardrails for AI agents. Validates shell commands and file reads against 400+ security patterns to block destructive operations, credential theft, and unauthorized system access.

agentic-workflows

Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.

releasing-software

A pre-flight release checklist system to verify build paths, tests, and CI status before tagging, preventing failed deployments and repetitive retagging cycles.