Scaffold goal-driven AI agents into a ready-to-run Python package.
npx skills add https://github.com/nk10nikhil/hive-spm-clone --skill hive-create-nk10nikhil
Please help me install this Agent Skill. Skill: hive-create Source: https://github.com/nk10nikhil/hive-spm-clone/tree/main/.claude/skills/hive-create Command: npx skills add https://github.com/nk10nikhil/hive-spm-clone --skill hive-create-nk10nikhil
Quickly bootstrap end-to-end goal-driven AI agents with a structured, battle-tested workflow. This skill guides engineers and product teams from problem framing to a fully scaffolded agent class, reducing setup time and guesswork.
Run hive-create to scaffold a new agent by answering prompts and exporting a Python package.
High-intent search queries and answers about installing and using this skill.
To scaffold a goal-driven AI agent, you run a guided workflow that qualifies your use case, defines goals, adds nodes, connects edges, and exports a ready-to-run Python package with a complete agent class and configuration.
Automating problem discovery and architectural design involves using a structured workflow that qualifies use cases first, generates a package structure automatically, and enforces a strict scaffold to reduce setup guesswork.
Yes, you can generate a complete Python package structure that includes documented configuration, agent class definitions, and graph files with connected nodes and edges for immediate development.
No, you do not need to manually define the package structure. The automation workflow validates inputs and enforces a strict scaffold, automatically creating the necessary goals, nodes, edges, and configuration files.
Qualifying use cases before generating an AI agent package aligns the project scope by evaluating the good, bad, and ugly aspects of the use case, ensuring the resulting scaffolded workflow strictly matches your actual requirements.
A limitation of automated scaffolding is that it enforces a strict package structure and validates inputs rigidly, which may restrict highly customized architectural design choices outside its predefined goal, node, and edge workflow paradigm.
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