hive-concepts
Core concepts for goal-driven agents - architecture, node types (event_loop, function), tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals.
npx skills add majiayu000/claude-skill-registry --skill hive-concepts-aden-hive-hive --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Building Agents - Core Concepts Foundational knowledge for building goal-driven agents as Python packages. ## Architecture: Python Services (Not JSON Configs) Agents are built as Python packages: ``` exports/my_agent/ ├── __init__.py # Package exports ├── __main__.py # CLI (run, info, validate, shell) ├── agent.py # Graph construction (goal, edges, agent class) ├── nodes/__init__.py # Node definitions (NodeSpec) ├── config.py # Runtime config └── README.md # Documentation ``` **Key Principle: Agent is visible and editable during build** - Files created immediately as components are approved - User can watch files grow in their editor - No session state - just direct file writes - No "export" step - agent is ready when build completes ## Core Concepts ### Goal Success criteria and constraints (written to agent.py) ```python goal = Goal( id="research-goal", name="Technical Research Agent", description="Research technical topics thoroughly", success_criteria=[ SuccessCriterion( id="completeness", description="Cover all aspects of topic", metric="coverage_score", target=">=0.9", weight=0.4, ), # 3-5 success criteria total ], constraints=[ Constraint( id="accuracy", description="All i
- Architecture: Python Services (Not JSON Configs)
- Core Concepts
- Goal
- Node
- Edge
- Client-Facing Nodes
- Node Design: Fewer, Richer Nodes
- nullableoutputkeys for Cross-Edge Inputs
- Event Loop Architecture Concepts
- How EventLoopNode Works
- EventLoopNode Runtime
- setoutput
- JudgeProtocol
- LoopConfig
What does the hive-concepts skill do?
Core concepts for goal-driven agents - architecture, node types (event_loop, function), tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill hive-concepts-aden-hive-hive --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.