agent skills
- Why does the order of information I give an AI agent matter so much?
- Why does adding too much context sometimes make an AI agent perform worse?
- Why do AI agents trained on the same data sometimes behave very differently?
- What skill should every educator build first when starting an agent skills library?
- What should always be in the context for an AI agent running my campus?
- What is the TrainingSites Skills Library and how does it use skill-based agents?
- What is the simplest workflow agent I can build today without any technical knowledge?
- What is the one insight about orchestrator agents that most educators miss when they start automating?
- What is the minimum agent ecosystem needed before an orchestrator agent becomes useful?
- What is the fastest way to turn a task I do manually every week into a skill?
- What is the difference between an AI agent context and its memory?
- What is the difference between a skill, a command, and a prompt?
- What is the difference between a research agent and a RAG system?
- What is a system prompt versus a user prompt in the context of agents?
- What is a context limit and what happens when an agent hits it?
- What is a context leak and why should educators care about it?
- What happens when one step in a workflow agent fails?
- What happens when a skill-based agent receives information it doesn’t know how to handle?
- What context does my campus AI agent need to answer student questions well?
- How specific does a skill need to be to work reliably as an agent?
- How often should a research agent run to be useful without becoming noise?
- How many skills does an average course creator need to meaningfully automate their business?
- How does an orchestrator agent handle situations where a specialist agent needs clarification?
- How does a workflow agent know what order to do things in?
- How does a research agent decide what information is relevant to me?
- How do skill-based agents compare to Zapier automations?
- How do I write a good system prompt that gives my AI agent enough context to work correctly?
- How do I use files and documents as context for an AI agent?
- How do I update an agent context when my business information changes?
- How do I test whether my AI agent has the context it needs to help my students?
- How do I test a workflow agent before I rely on it for live business tasks?
- How do I structure context so an AI agent knows what to prioritize?
- How do I prompt a research agent to give me only actionable intelligence?
- How do I know if a workflow agent made a mistake partway through its task?
- How do I improve a skill that isn’t giving me the output I want?
- How do I give an AI agent the right context without writing a very long prompt?
- How do I check if an AI agent understood the context I gave it?
- How do I build a research agent that monitors specific topics or competitors?
- Can I share a skill with a colleague or client and have them run it independently?
- Can I reuse the same workflow agent for different pieces of content?
- Can I reuse the same context for multiple agents doing different tasks?
- Can an orchestrator agent learn over time which agent combinations work best for me?
- Can an AI agent access context from the web in real time?
- Can a workflow agent stop and ask me to review something before continuing?
- Can a workflow agent create different outputs depending on a condition or decision point?
- Can a skill-based agent pull information from my website or CRM to complete its task?
- Can a research agent pull data from YouTube, Google, and social platforms simultaneously?
- Can a research agent help me prepare for a live class or coaching call?