DEDUPED Hot AI repos, turned into use cases Get the Monday 5

How to teach a hard concept with an explainer that quizzes the reader with Fireworks Open Eli5

Use the concept story grammar with the failure lens and teach-back questions so readers check their understanding.

Short answer: Install the skill for Codex with npx skills@latest add yizhiyanhua-ai/fireworks-open-eli5 -g -a codex -y; then ask for a concept story with teach-back questions for your audience; Render the spec to HTML and open it in a modern browser. All steps.

Who it is forA developer advocate or educator explaining something like consistent hashing or OAuth to newcomers.

The problemReaders skim explanations and think they understood until they try it.

The outcomeAn offline explainer with questions and answer reveals built into the story, plus annotations and favorites.

What you need first

  • Node.js 18 or newer with local file access
  • Codex or Claude Code with the Skill installed
  • A modern browser to open the generated HTML

Steps

  1. Install the skill for Codex with npx skills@latest add yizhiyanhua-ai/fireworks-open-eli5 -g -a codex -y
  2. Ask for a concept story with teach-back questions for your audience
  3. Render the spec to HTML and open it in a modern browser
  4. Serve a folder of explainers with node scripts/serve.mjs --root /absolute/path/to/explainers --port 8772 to enable history and annotations
  5. Export to PDF, PNG, PPTX or DOCX for sharing

Prompt for your agent

With yizhiyanhua-ai/fireworks-open-eli5, create a concept explainer of <topic> for <audience> with teach-back questions after each key scene, render it, and export a PDF copy.

Caveat.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for yizhiyanhua-ai/fireworks-open-eli5 and "Teach a hard concept with an explainer that quizzes the reader"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

Cursor, ChatGPT, others

Share: X LinkedIn Hacker News Email Copy link

Third-party repos we don't own. AI-written use cases can be wrong. Disclaimer