Generate goal-driven AI agent package structures with nodes and edges.
npx skills add https://github.com/adenhq/hive --skill hive-create
Please help me install this Agent Skill. Skill: hive-create Source: https://github.com/adenhq/hive/tree/main/.claude/skills/hive-create Command: npx skills add https://github.com/adenhq/hive --skill hive-create
The hive-create skill provides a structured, repeatable approach to building autonomous agents by generating the essential scaffolding: package layout, goals, node and edge graphs, and a ready-to-run agent class. This streamlines the complex process of agent construction and ensures consistency across projects.
Begin by running hive-create to generate a new agent scaffold, then iteratively define the goal (STEP 2) and design the node graph (STEP 3–4). Finally, build and export the complete package to exports/AGENT_NAME/ and validate the agent using the provided CLI. Adapt the workflow to your project by editing the generated files inside exports/AGENT_NAME/.
High-intent search queries and answers about installing and using this skill.
Automated agent scaffolding is achieved by generating the package structure, goals, node and edge graphs, and a ready-to-run agent class. This streamlines the complex process of agent construction to ensure consistency across repeatable agent architectures.
Generating a Python package for goal-driven AI agents involves designing the node graph and exporting the validated graph structure. The export-ready package is output to the exports/AGENT_NAME/ directory for immediate execution and CLI validation.
MCP-integrated tool wiring is supported when building autonomous agents. The scaffolding process targets teams building repeatable agent architectures and accommodates MCP-integrated tool wiring within the generated package structure.
Validating a generated agent graph involves the stepwise user-driven configuration process where you iteratively define the goal and design the node graph. The final package is then built, exported, and validated using the provided CLI.
Automated agent scaffolding supports customization for different domains through reusable templates. These templates align with existing agent patterns and allow you to adapt the workflow by editing the generated files inside the exports/AGENT_NAME/ directory.
Automated scaffolding provides a structured, repeatable approach that ensures consistency across projects, unlike manual creation. It eliminates the complex process of agent construction by automatically generating the essential package layout, goals, and node and edge graphs.
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