Agent Skills Hub

arduino-mcp

An MCP server enabling agents to edit, manage, and compile Arduino IDE 2.0 sketches, including source code manipulation and automated build capabilities via arduino-cli.

functions

Deploy serverless browser automation as cloud functions using Browserbase. Perfect for cron jobs, webhook endpoints, and scalable cloud-based automation tasks.

work-with-justfiles

Standardize repo commands with justfiles. Define, organize, and document cross-platform workflows, aliases, and automation tasks to create a single source of truth for repository operations.

code-documentation

Standardize code documentation: automate READMEs, API references, JSDoc/TSDoc, and Architecture Decision Records (ADRs) to maintain clean, professional technical guides.

orchestrate

Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.

btca-cli

Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.

backend-architect

Senior backend architecture expert specializing in Hexagonal Architecture, DDD, SOLID principles, clean code, and refactoring to guide development, reviews, and architectural problem-solving.

go

Autonomous recursive execution engine for indiiOS that manages task completion, state verification, and error handling.

react-native-design

Master React Native styling, navigation, and Reanimated animations. Build performant, cross-platform mobile apps with native-quality UX.

pr-review-fix-loop

Orchestrate an automated PR review-fix loop. Dispatches subagents to analyze code, CI status, and comments, then applies iterative fixes until the PR reaches a passing state.

nix-patterns

Standardized NixOS module patterns for system configuration, package management, and home-manager setups.

skyll

A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.