Agent Skills Hub

digital-brain

A structured personal operating system for managing digital presence, knowledge, relationships, and goals with AI assistance for founders, creators, and professionals.

pomodoro

A Pomodoro focus timer that tracks work sessions in a local SQLite database to provide productivity analytics and personalized performance insights over time.

reactive-ui-patterns

Reactive UI patterns for remote data fetching, enabling smooth in-place updates, persistent scroll position, and efficient loading state management using the .current property.

meeting-sync

Sync Granola meeting transcripts to your local Knowledge folder, integrated into your morning planning workflow.

semantic-compression

Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.

context-driven-development

Standardizes project context by managing artifacts (product, tech-stack, workflow, tracks) in a conductor/ directory. Supports project scaffolding, artifact synchronization, and AI alignment for greenfield and brownfield projects.

railway-database

Provision and manage Railway database services (Postgres, Redis, MySQL, MongoDB) with automated configuration and environment wiring.

langgraph-workflows

Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.

claude-skills

A comprehensive library of 305+ modular instruction packages, Python CLI tools, and agent workflows designed to extend the capabilities of AI coding assistants like Claude Code, Cursor, Aider, and Gemini CLI.

subtask

Parallel task orchestration CLI for AI workers using isolated git workspaces.

tanstack-query

Production-grade TanStack Query v5 patterns for async state management, including query key factories, data mutations, caching, and SSR configuration.

split-pdf

Automated pipeline to download, split, and deeply analyze academic PDFs in structured batches to avoid context window limits and ensure high-quality comprehension.