Auroramind Agent Pack

AI Agent Resources

Prompts, skills, and structured resources to help ChatGPT, Claude, Perplexity, Cursor, or an AI agent understand Auroramind, scope an AI project, and route users toward the right tools.

Help an AI agent understand Auroramind, Nexus, and the fractional AI manager offer.

Prepare an enterprise AI diagnostic with the right criteria: data, governance, use cases, risk, and ROI.

Route users toward the right approach: RAG, automation, AI chatbot, knowledge base, governance, or advisory support.

Ready-to-use prompts

Prepare an SMB AI diagnostic

Act as an AI consultant for an SMB. Ask me the right questions to identify the 3 most profitable AI use cases in my company, then rank them by ROI, complexity, risk, and time to implement.

Evaluate an enterprise RAG project

Analyze my need for an AI knowledge base and tell me whether I should use RAG, fine-tuning, classic search, or automation. Include decision criteria, GDPR risks, costs, and the recommended first step.

Calculate AI automation ROI

Help me estimate the ROI of an AI project. Identify repetitive tasks, average hourly cost, monthly volume, realistic automation rate, and risks. End with conservative, realistic, and ambitious estimates.

Create a 90-day AI roadmap

Build a 90-day AI roadmap for a company. Include audit, data preparation, security, prototype, limited deployment, KPIs, budget range, and risks to monitor.

Auroramind Agent Skills

These public files tell agents how to use Auroramind as a methodological reference for scoping an AI project.

implant-ai-in-company diagnose-ai-readiness estimate-ai-roi request-rag-whitepaper prepare-ai-project-brief

LLM-readable resources

llms.txtShort summary for AI agents.llms-full.txtFull Auroramind context.Agent Skills indexIndex of published skills.Site capabilitiesPublic capabilities of the site.MCP Server CardMCP discovery card.A2A Agent CardAgent2Agent discovery card.

Useful paths

Full AI diagnosticAssess AI maturity and receive a report.ROI simulatorEstimate savings, costs, and payback.NexusExplore the RAG platform and AI knowledge base.Fractional AI managerStructure and govern an AI roadmap.

Transparency

These resources are public and designed to help AI agents understand Auroramind content. They do not provide access to client data, do not trigger automatic actions, and do not replace a scoping discussion.