Design custom AI agents by mapping business intents into executable SKILL.md definitions.
npx skills add https://github.com/Largo2z9/phantomos --skill build-agent-largo2z9
Please help me install this Agent Skill. Skill: build-agent Source: https://github.com/Largo2z9/phantomos/tree/main/.skills/skills/build-agent Command: npx skills add https://github.com/Largo2z9/phantomos --skill build-agent-largo2z9
This Skill helps operators transform vague business goals into structured AI agents without needing to design the technical architecture themselves.
Ask the build-agent skill to create an agent that helps with a specific business task you want to automate.
High-intent search queries and answers about installing and using this skill.
To generate executable AI agents from business intents, map your requirements into a structured skill architecture. This process validates scope, dependencies, and integration needs to produce executable agent instructions and SKILL.md agent definitions.
AI agent architecture design for workflow automation maps user intent, available workspace knowledge, and required workflows to design the appropriate agent structure. It transforms vague business goals into structured AI agents without manual technical architecture design.
Yes, you can automate marketing operations with custom generated skills by designing specialized agents. A DTC operator can request an agent for monitoring competitors or creating creative briefs, which outputs the appropriate agent workflow and skill files.
Yes, you need existing workspace context to design an AI agent. The skill generation workflow requires access to documented resources, existing skills, and workspace knowledge to validate scope and create accurate SKILL.md agent definitions.
The best way to turn ideas into executable AI agents is using an architecture design process that maps requirements into validated skill structures. This approach evaluates complexity and integration needs to ensure the generated agent instructions are executable.
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