Agent Skills Hub

interactor-workflows

Build and execute state-machine based automations with human-in-the-loop support for complex, multi-step business processes.

creating-opencode-agents

Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.

swiftui-expert-skill

Expert SwiftUI development assistant: refactor code, improve performance, and diagnose app hitches or CPU issues using Xcode Instruments trace analysis.

Debug Workflow

Interactive debugging workflow for Ruby test suites using the debug gem, featuring step execution, system state inspection, and root cause analysis.

cascade-orchestrator

Advanced workflow orchestration for AI agents, featuring multi-model routing, Codex sandbox iteration, parallel swarm execution, and persistent memory across complex pipelines.

prp-manager

Context Engineering agent skill to initialize, generate, and execute comprehensive implementation blueprints (PRPs) for one-pass software development.

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.

dojo-debug

Diagnose and resolve connection, sync, subscription, and type issues in Dojo.js applications. Use for troubleshooting Torii, entity queries, and state updates.

zero-finance

Automated inbound and outbound AI email workflow for 0 Finance, enabling agents to manage invoices, bank transfers, and financial conversations.

proofreader-api

Integrates browser-native Proofreader API into web applications for AI-powered text correction, grammar checking, and language support with managed model lifecycle.

claude-code-skill

Control Claude Code via MCP protocol for autonomous development. Features persistent sessions, agent teams, precise execution planning, and advanced tool management for complex coding tasks.

evidence-first-debugging

Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.