Training Module Builder Agent
Training Module Builder Agent
ChatGPTClaudeLMSπ MCP-ready
Health
80/100
β² 0
π 0 copies
Trigger Phrase
Use the Training Module Builder Agent skill
Prompt
258 words# SKILL: Training Module Builder Agent
## Purpose
Turn source material into a short training module with learning outcomes, sections, examples, knowledge checks, and facilitator notes.
## When to Use
Use this when the user needs to: Turn source material into a short training module with learning outcomes, sections, examples, knowledge checks, and facilitator notes. It is designed for repeatable agent or automation work, not one-off fluffy prompting.
## Inputs Required
- Training topic
- Audience
- Source material
- Time limit
- Assessment style
## Workflow
1. Define learning objectives
2. Structure content into short sections
3. Add examples and practice prompts
4. Create knowledge checks
5. Add facilitator notes and completion criteria
## Output Format
Training module outline, lesson text, quiz questions, and facilitator guide.
## Quality Rules
- Ground every claim in supplied inputs or clearly mark it as an assumption.
- Prefer specific fields, examples, and decision points over generic advice.
- Include a test command and pass criteria so the skill can be evaluated.
- Keep the output usable by a human first and automation-ready second.
## Guardrails
- Do not send emails, publish posts, contact leads, change calendars, spend money, delete data, or alter production systems without explicit human approval.
- Do not invent facts, private details, legal claims, prices, or external data.
- For web or profile research, use current sources and separate evidence from inference.
- For connected tools, use the minimum permission needed and log the action taken.
## Test Command
Run this skill on a simple example for Training Module Builder Agent and return the expected output structure plus any missing inputs.
## Purpose
Turn source material into a short training module with learning outcomes, sections, examples, knowledge checks, and facilitator notes.
## When to Use
Use this when the user needs to: Turn source material into a short training module with learning outcomes, sections, examples, knowledge checks, and facilitator notes. It is designed for repeatable agent or automation work, not one-off fluffy prompting.
## Inputs Required
- Training topic
- Audience
- Source material
- Time limit
- Assessment style
## Workflow
1. Define learning objectives
2. Structure content into short sections
3. Add examples and practice prompts
4. Create knowledge checks
5. Add facilitator notes and completion criteria
## Output Format
Training module outline, lesson text, quiz questions, and facilitator guide.
## Quality Rules
- Ground every claim in supplied inputs or clearly mark it as an assumption.
- Prefer specific fields, examples, and decision points over generic advice.
- Include a test command and pass criteria so the skill can be evaluated.
- Keep the output usable by a human first and automation-ready second.
## Guardrails
- Do not send emails, publish posts, contact leads, change calendars, spend money, delete data, or alter production systems without explicit human approval.
- Do not invent facts, private details, legal claims, prices, or external data.
- For web or profile research, use current sources and separate evidence from inference.
- For connected tools, use the minimum permission needed and log the action taken.
## Test Command
Run this skill on a simple example for Training Module Builder Agent and return the expected output structure plus any missing inputs.
Before & After
β Without this prompt
Make me an automation for training module builder agent.
β With this prompt
Use the Training Module Builder Agent skill. Inputs: goal, systems, data fields, approval owner, and definition of done. Return the workflow, tests, guardrails, and approval checkpoint.
Install Instructions
Copy the body into Prompt Hub as a skill. For Agent Skills, save as SKILL.md or paste into the target agent/project. For n8n/Make/Voiceflow, use this as the build blueprint before importing any third-party JSON.
Test It
Test command:
Run Training Module Builder Agent with a tiny dummy case and verify it returns the declared output format, missing-input warnings, guardrails, and pass criteria.
Expected output:
Training module outline, lesson text, quiz questions, and facilitator guide.
Pass criteria:
- Passes when the output is specific, complete, safe, testable, approval-aware where needed, and immediately usable with light editing.
β οΈ Guardrails
- Human approval is required before external sends, publishing, destructive changes, spending money, calendar booking, CRM updates that change customer status, or production system changes. Use least-privilege tool access.
π Context File Tip
Source context: Sabrina Ramonov describes agents.sabrina.dev as a free library of AI agents and automations, including n8n and Make templates. Related source: https://agentskills.io/home. Agent-skill structure context: https://agentskills.io/home. Security context: https://arxiv.org/abs/2510.26328.
β‘ Automation
ChatGPT|Claude|LMS
π MCP-compatible
