Agent Skills Hub

orchestrator

Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.

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.

spawn-decision

A specialized decision-making agent for complex architectural choices, task planning, and error resolution within the orchestration system.

literature-engineer

Evidence-first literature collector for automated research pipelines. Scales paper pools to 1200+ with metadata normalization, provenance tracking, and multi-source ingestion.

use-railway

Operate Railway infrastructure: manage projects, services, databases, object storage, deployments, environments, variables, logs, and performance metrics.

debug

Debug package implementation guide for LobeHub. Provides standardized logging patterns, namespace conventions, and configuration for browser, Node.js, and Electron environments.

pymc

Bayesian modeling and probabilistic programming with PyMC. Build hierarchical models, perform MCMC sampling (NUTS), variational inference, and conduct rigorous model comparison using LOO and WAIC.

structured-outputs-advisor

Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.

go-api

Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.

typescript-circular-dependency

Detect and resolve TypeScript/JavaScript circular import dependencies. Solves runtime errors like 'Cannot access X before initialization' and 'undefined' imports caused by module cycle initialization order.

creating-financial-models

A comprehensive financial modeling suite for investment analysis, featuring DCF valuation, sensitivity testing, Monte Carlo simulations, and scenario planning.

saving-codeacts

Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.