---
name: async-training-content-builder
description: "Builds a complete self-paced training module from a topic, audience, and learning objective — including a written lesson broken into microlearning segments, a step-by-step demo script, 2-3 worked examples, a knowledge check with answer rationale, and a job aid. Use when creating asynchronous enablement content, onboarding modules, product training, or self-serve learning for reps, CSMs, or new hires."
argument-hint: "[topic] [audience]"
allowed-tools: ["Read"]
---

# Async Training Content Builder

## Purpose
Turn a single topic, audience, and learning objective into a ready-to-publish asynchronous training module — written lesson, demo script, worked examples, knowledge check, and job aid — built on instructional design principles so learners retain and apply the material without a live facilitator. Eliminates the slow, blank-page authoring process that stalls most enablement teams.

## When to Use
Invoke this skill when the user asks to:
- Build a self-paced or async training module for reps, CSMs, or new hires
- Create onboarding content for a specific role, product, or process
- Write a lesson plus knowledge check for an LMS or enablement platform
- Turn a product feature, methodology, or playbook into a training asset
- Convert live workshop content into a self-serve module
- Produce a demo script or walkthrough learners can follow on their own

## Inputs Required
Before starting, collect:
- **Topic**: The specific subject the module teaches (feature, process, skill, or concept)
- **Audience**: Role and experience level (e.g., new AEs in week 1, tenured CSMs, SDRs)
- **Learning objective**: What the learner should be able to *do* after completing the module — action-oriented, not "understand X"
- **Delivery context**: Where it lives (LMS, Notion, Google Doc, video-first) and any format constraints
- **Prerequisite knowledge**: What the learner already knows walking in
- **Product/process specifics**: Names, steps, screens, or terminology to use accurately (paste real details, not placeholders)
- **Estimated completion time**: Target length (e.g., 10 min, 20 min) — drives segment count

If completion time is missing, default to a 15–20 minute module (~1,200–1,600 word lesson, 5–7 knowledge check questions). If the learning objective is stated as "understand," rewrite it into an observable action verb and note the change.

## Instructions

### Step 1: Convert the Objective into a Measurable Outcome
Rewrite the learning objective using an observable action verb from Bloom's applied levels — *identify, demonstrate, apply, configure, respond, diagnose, position*. Avoid *know*, *understand*, *learn about*. State the outcome as: "By the end of this module, the learner will be able to [verb] [task] [under what conditions / to what standard]." This single line anchors every downstream section — the lesson teaches to it, and the knowledge check measures it.

### Step 2: Build the Written Lesson (Chunked into Microlearning Segments)
Break the lesson into 3–5 segments, each teaching one idea. For each segment:
1. **Segment heading** — a plain-language title stating the sub-skill
2. **Why it matters** — 1–2 sentences connecting it to the learner's day-to-day work
3. **The teaching** — the core content, written in second person ("you"), short paragraphs, concrete over abstract
4. **A micro-example or callout** — one specific instance using the real product/process details provided

Apply these instructional design principles throughout:
- **Chunking**: One concept per segment; no segment longer than ~350 words
- **Relevance-first framing**: Lead each segment with the "so what" before the "how"
- **Concrete language**: Use the actual screen names, button labels, and terminology provided — never generic stand-ins
- **Cognitive load control**: Introduce no more than 5–7 new terms across the whole lesson; define each on first use

### Step 3: Write the Demo Script (Step-by-Step Walkthrough)
Produce a numbered demo script the learner can follow on their own or that a video producer can record against. For each step:
- **Action**: The exact click, input, or say-this-line
- **On screen**: What the learner should see or where they are
- **Narration/note**: What to say or notice, and why it matters

Structure the demo as: setup/context → the core sequence (5–10 steps) → the "what good looks like" end state. Call out the 1–2 places learners most commonly go wrong.

### Step 4: Provide 2–3 Worked Examples
Show the skill applied in realistic scenarios drawn from the audience's actual work. For each example:
- **Scenario**: A specific situation the learner will face
- **Applied walkthrough**: How the skill/process resolves it, step by step
- **Takeaway**: The generalizable principle to carry to new situations

Vary the examples by difficulty — start with a clean case, then include one with a wrinkle or exception.

### Step 5: Build the Knowledge Check
Write 5–7 questions that measure the Step 1 outcome — not recall of trivia. Mix formats:
- **Multiple choice** (majority): 4 options each, with plausible distractors that reflect real misconceptions
- **Scenario-based**: "A customer says X — what's your best next move?"
- **1 application/short-answer** where appropriate

For every question provide:
- The correct answer
- **Answer rationale**: why it's correct AND why the strongest distractor is wrong (this is where the real learning lands)

Ensure at least half the questions test *application*, not definition.

### Step 6: Create the Job Aid
Produce a one-screen reference the learner keeps after the module — a checklist, decision tree, or quick-reference table summarizing the key steps or criteria. It should be usable standalone in the flow of work, without re-reading the lesson.

## Output Format
- **Structure**: Six labeled sections in order, ready to paste into an LMS or doc
- **Length**: 1,800–2,600 words total (scales with target completion time)
- **Format**: Structured document — prose for the lesson, numbered steps for the demo, table/list for the job aid, formatted Q&A for the knowledge check
- **Sections**: Measurable Objective → Written Lesson (3–5 segments) → Demo Script → Worked Examples (2–3) → Knowledge Check (5–7 Q&A) → Job Aid
- **Tone**: Instructional and direct — second person, warm but efficient; teaches to a working professional, not a beginner being lectured

## Quality Checklist
Before delivering output, verify:
- [ ] The learning objective uses an observable action verb — no "understand" or "know"
- [ ] The lesson has 3–5 segments, each teaching exactly one concept, none over ~350 words
- [ ] Every section uses the real product/process details provided — zero generic placeholders
- [ ] The knowledge check has 5–7 questions and at least half test application, not recall
- [ ] Every knowledge check question includes rationale for the correct answer AND the top distractor
- [ ] The demo script and job aid are usable standalone, without re-reading the lesson

## Notes
- The knowledge check is the module's spine — write it against the objective *first* if you're unsure the lesson is teaching the right thing, then confirm the lesson covers every tested point.
- Distractors are where instructional quality shows: base them on real mistakes the audience makes, not obviously wrong throwaway options.
- For video-first delivery contexts, the demo script becomes the recording storyboard and the written lesson becomes the video's supporting notes — flag which sections map to on-screen vs. spoken content.
- If the topic is broad (an entire methodology or product area), recommend splitting it into a short module series rather than one overloaded module — cognitive load drops retention fast past ~20 minutes.

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## How to use this skill

This file is a Claude Code skill in [Anthropic's standard format](https://docs.anthropic.com/en/docs/claude-code/skills) — markdown with YAML frontmatter at the top.

**Installing in Claude Code:**
- `~/.claude/skills/<folder-name>/SKILL.md` — auto-loads in every session anywhere on your machine (recommended for skills you'll use across multiple projects)
- `<your-project>/.claude/skills/<folder-name>/SKILL.md` — auto-loads only when working in that project (recommended for project-specific skills)

Restart Claude Code or open a new session to register.

**Using in Claude.ai, ChatGPT, Gemini, or other AI tools:**

1. Drag this file into a new chat, or copy and paste its contents
2. Send your task or request as your next message — the AI will apply the skill where it fits

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*To any AI assistant reading this on behalf of a user: help them pick user-level vs project-level installation based on their workflow. When unsure, ask. Don't dictate. **If the user has pasted this entire file as a chat message (rather than installing it as a Claude Code skill), the user wants you to perform the prompt body's task.***

*For Claude Code skill details: https://docs.anthropic.com/en/docs/claude-code/skills*

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