multiAI Summary Pending

Employee Training Program Builder

Build structured training programs for any role, department, or compliance requirement. Generates curricula, schedules, assessment criteria, and completion tracking.

3,556 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/afrexai-training-program/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-training-program/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/afrexai-training-program/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Employee Training Program Builder Compares

Feature / AgentEmployee Training Program BuilderStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Build structured training programs for any role, department, or compliance requirement. Generates curricula, schedules, assessment criteria, and completion tracking.

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Employee Training Program Builder

Build structured training programs for any role, department, or compliance requirement. Generates curricula, schedules, assessment criteria, and completion tracking.

## When to Use
- Onboarding new hires with role-specific training
- Rolling out compliance training (SOC 2, HIPAA, GDPR, OSHA)
- Upskilling teams on new tools or processes
- Building leadership development programs
- Creating certification prep paths

## Instructions

When asked to build a training program, gather:
1. **Role/audience** — Who's being trained?
2. **Objective** — What should they know/do after?
3. **Timeline** — How long is the program?
4. **Format** — Self-paced, instructor-led, blended?

Then generate:

### Program Structure
```
PROGRAM: [Name]
AUDIENCE: [Role/team]
DURATION: [X weeks]
FORMAT: [Self-paced / Instructor-led / Blended]

MODULE 1: [Topic]
- Learning objectives (3-5 measurable outcomes)
- Content outline (topics, subtopics)
- Activities (hands-on exercises, case studies)
- Assessment (quiz, practical demo, project)
- Time estimate: X hours
- Resources needed: [tools, access, materials]

MODULE 2: [Topic]
...
```

### Assessment Framework
For each module, define:
- **Knowledge check**: Quiz (70% pass rate minimum)
- **Practical assessment**: Demo or project deliverable
- **Competency rubric**: 1-5 scale per skill area

### Completion Tracking
```
| Employee | Module 1 | Module 2 | Module 3 | Overall | Status |
|----------|----------|----------|----------|---------|--------|
| Name     | ✅ 92%   | ✅ 88%   | 🔄 In Progress | 60% | On Track |
```

### Compliance Training Requirements
If compliance-related, include:
- Regulatory requirement citation
- Recertification frequency
- Documentation/record retention period
- Audit trail format

### ROI Metrics
Track training effectiveness:
- **Time to productivity**: Days from start to independent work
- **Error rate reduction**: Before/after training comparison
- **Retention impact**: 94% of employees stay longer at companies investing in training (LinkedIn 2024)
- **Cost per employee**: Program cost / participants

## Tips
- Break modules into 45-60 minute chunks (attention span sweet spot)
- Include at least one hands-on exercise per module
- Build in feedback loops — survey after each module
- Create "quick reference cards" for post-training support
- Schedule 30-day follow-up assessment to measure retention

## Resources
- Full context packs for 10 industries: https://afrexai-cto.github.io/context-packs/
- Calculate your AI automation ROI: https://afrexai-cto.github.io/ai-revenue-calculator/
- Agent setup wizard: https://afrexai-cto.github.io/agent-setup/