Orchestrate end-to-end workflows for building and testing goal-driven AI agents.
npx skills add https://github.com/adenhq/hive --skill hive-adenhq
Please help me install this Agent Skill. Skill: hive Source: https://github.com/adenhq/hive/tree/main/.claude/skills/hive Command: npx skills add https://github.com/adenhq/hive --skill hive-adenhq
This Skill provides a complete, repeatable workflow for building, implementing, and testing goal-driven AI agents, consolidating multiple hive-* skills into a cohesive, end-to-end process.
Initiate hive to begin an agent project; specify your goal and preferred starting phase, and hive will route to the correct hive-* skill (concepts, create, patterns, credentials, test, debugger) to proceed.
High-intent search queries and answers about installing and using this skill.
You can orchestrate end-to-end AI agent workflows by initiating the hive skill, which routes your project goal through structured phases like concepts, create, patterns, credentials, test, and debugger to guide agents to production.
Managing human-in-the-loop phases involves using structured SOPs and phase routing to direct agent development, ensuring clear checkpoints where human input is required before proceeding to the next workflow stage.
Structuring goal-driven agent testing and credentials is handled by routing requests to dedicated sub-skills, applying documented SOPs that separate credential configuration from testing phases for repeatable development.
Starting a new AI agent project requires specifying your goal and preferred starting phase, which automatically routes the workflow to the appropriate hive-* sub-skills without manual codebase exploration.
Minimizing codebase exploration during agent implementation is achieved through meta-skill orchestration and phase routing, which directs user requests to the exact sub-skill needed for the current development stage.
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