Agent Skills Hub

project-migrate

Intelligently migrate existing brownfield projects to the AgenticDev structure using AI-powered analysis to reorganize documentation, generate rich frontmatter, and preserve git history.

senior-data-engineer

World-class senior data engineering skill for building scalable data pipelines, ETL/ELT systems, and modern data infrastructure using Python, Spark, dbt, and Kafka.

claude-code-guide

An advanced development guide for Claude Code, covering REPL environments, MCP integration, development workflows, and best practices for AI-assisted coding.

deep-thinking

A deep reasoning protocol that ensures systematic analysis, multi-hypothesis generation, and rigorous verification for complex architectural, debugging, and high-stakes tasks.

review-and-qa

Perform comprehensive code reviews and generate QA test plans for Storyblok projects, ensuring quality, security, and adherence to best practices.

figma-create-new-file

Create new Figma design or FigJam files directly via the MCP server. Automatically resolves plans and initializes new canvases for your design workflows.

stats-tracker

Monitor Claude Code usage, token consumption, productivity streaks, and skill effectiveness metrics to optimize your development workflow.

pulumi-terraform-to-pulumi

Automate the migration of Terraform and OpenTofu infrastructure to Pulumi, handling state mapping, provider installation, and HCL code translation.

specstory-organize

Automatically organize your SpecStory AI coding session history into a structured YYYY/MM directory hierarchy to improve file management and archiving.

x-article-publisher

Publish Markdown articles to X (Twitter) Articles with persistent login, automated formatting, and intelligent image management.

skr

A command-line tool for managing, building, and deploying Agent Skills as OCI artifacts within the Agent Skills ecosystem.

professor-synapse

A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.