SinShine5Community·5 Agent Skills Included

aden-hive

Build, test, and deploy self-improving goal-driven agents

Builds production-ready agents from plain-English goals by generating node graphs, connection code, and test suites automatically. Eliminates manual workflow design, hardcoded edges, and reactive error handling through self-evolving graphs. Includes human-in-the-loop pauses, real-time monitoring, budget controls, and 19 built-in tools for faster deployment.

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npx skills add SinShine5/aden-hive --all -g -y

All Skills in This Repository (5)

Pure Emerald Level Indicators

📦 In Repo

SinShine5

building-agents-core

Explain core concepts for building goal-driven agents in Python packages.

testing-agent

Generate, write, and run goal-based evaluation tests for agents using MCP tools.

building-agents-patterns

Provide patterns and anti-patterns for building goal-driven AI agents.

agent-workflow

Orchestrate end-to-end agent workflows across core, construction, patterns, and testing phases.

building-agents-construction

Construct goal-driven agent packages from MCP setup to class generation.

Community

Advanced

Frequently Asked Questions

FAQPage Schema

How to install aden-hive?▼

Run `npx skills add SinShine5/aden-hive --all -g -y` in your terminal to install all skills in this suite globally.

How does aden-hive build agents from goals?▼

You describe your objective in plain English, and the coding agent generates the full agent graph, node connection code, and test cases automatically.

What happens when an agent fails in aden-hive?▼

The framework captures failure data, evolves the agent graph, and redeploys automatically instead of just logging errors.

Does aden-hive support human approval steps?▼

Yes. Built-in human-in-the-loop nodes pause execution for human input with configurable timeouts and escalation rules.

Which LLM providers work with aden-hive?▼

It supports Cerebras, OpenAI, Anthropic, Google Gemini, and local models through LiteLLM integration.