Agent Skills Hub

code-quality

Enforce strict code quality, correctness, and Rust design patterns for the Turso database, prioritizing data integrity, performance, and maintainable, idiomatic code.

agent-architecture

Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.

simple-skill

A testing skill designed to verify the functionality of the Skillet CLI by performing basic tasks and confirming completion.

git-commit

Execute git commits with conventional commit message analysis, intelligent file staging, and automated semantic message generation based on code diffs.

video-pipeline

An end-to-end video processing pipeline that transforms raw recordings into transcripts, key insights, short clips, and polished articles.

image-rotator

Reliably rotate images by 90-degree increments using a deterministic Python script. Supports PNG, JPG, GIF, BMP, and TIFF, preserving quality with automated file handling.

Git Commit Format

Enforce HyperShift conventional commit formatting and validation for all Git contributions.

taskery

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

Parallel Routes Generator

Implements Next.js Parallel Routes for modals to prevent layout shifts. Essential for dialogs, modals, and intercepted routes.

prompt-improver

Enriches vague prompts by performing codebase research and asking targeted questions to clarify user intent before execution.

rag-implementation

Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.

mcp-development

Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.