# AI use cases for Fireworks Open Eli5 (yizhiyanhua-ai/fireworks-open-eli5)

Repo: [yizhiyanhua-ai/fireworks-open-eli5](https://github.com/yizhiyanhua-ai/fireworks-open-eli5) | Use cases: 3 | Page: https://dedupedai.com/use-cases/yizhiyanhua-ai-fireworks-open-eli5/

An open Agent Skill for Codex and Claude Code that turns a question about a system into an evidence-backed, offline interactive HTML explainer.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Map a request path through a repo as an interactive story: https://dedupedai.com/use-cases/yizhiyanhua-ai-fireworks-open-eli5/explain-request-path-through-codebase/
- Build an incident walkthrough with failure paths and fallbacks: https://dedupedai.com/use-cases/yizhiyanhua-ai-fireworks-open-eli5/explain-incident-failure-behavior/
- Export an explainer as slides or a document for a briefing: https://dedupedai.com/use-cases/yizhiyanhua-ai-fireworks-open-eli5/export-scene-slides-for-briefing/

## How to map a request path through a repo as an interactive story with Fireworks Open Eli5

Repo: [yizhiyanhua-ai/fireworks-open-eli5](https://github.com/yizhiyanhua-ai/fireworks-open-eli5) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Generate an evidence-cited HTML walkthrough of how one request moves through a codebase.

**Who it is for:** A new engineer or reviewer who must understand how a request or job flows through an unfamiliar repository.

**The problem:** Reading scattered files does not show the order of calls, the state changes, or which claims have real source behind them.

**The outcome:** An offline HTML explainer where the reader plays the request path, inspects evidence on each claim, and exports the result.

### Steps

1. Install with `npx skills@latest add yizhiyanhua-ai/fireworks-open-eli5 -g -a codex -y` (or use `-a claude-code` for Claude Code)
2. Run `npx skills@latest list -g --json` and start a fresh agent task so the Skill is discovered
3. Ask the agent to explain one request path in the target repo and cite real files
4. Run `node scripts/validate.mjs assets/example-spec.json` to confirm the validator works before rendering
5. Run `node scripts/render.mjs <spec.json> <output.html>` and open the HTML in a browser (inferred, check the README)

### Prompt to paste into your agent

```text
Using the fireworks-open-eli5 Skill, explain how one request moves through <target repo path>, citing real files for each step. Render it to <output.html> with the render script and confirm the file validates with the validate script. Report the file path and any claim that lacks a source locator.
```

### Caveat

The Skill depends on real files in the repo for evidence, so claims without a source locator are marked as having no locator rather than verified.

Risk, remote script: The npx route installs a Skill from GitHub that runs with the host agent's permissions, so review SKILL.md before use.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/yizhiyanhua-ai-fireworks-open-eli5/explain-request-path-through-codebase/

## How to build an incident walkthrough with failure paths and fallbacks with Fireworks Open Eli5

Repo: [yizhiyanhua-ai/fireworks-open-eli5](https://github.com/yizhiyanhua-ai/fireworks-open-eli5) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Create an explainer showing impact, symptoms, and fallback behavior for an incident.

**Who it is for:** An on-call engineer or incident lead writing a postmortem or teaching a team how a failure unfolded.

**The problem:** Incident write-ups often omit how the failure spread and what the fallback path did, so readers cannot follow the sequence.

**The outcome:** An incident-style HTML explainer with failure lens content, impact, symptoms, fallback, and teach-back questions.

### Steps

1. Install the Skill with `npx skills@latest add yizhiyanhua-ai/fireworks-open-eli5 -g -a claude-code -y` or the Codex equivalent
2. Ask the agent for an incident explainer covering impact, symptoms, and fallback for <incident>
3. Run `node scripts/validate.mjs <spec.json>` to check the spec against the incident grammar (inferred, check the README)
4. Run `node scripts/render.mjs <spec.json> <output.html>` to create the HTML (inferred, check the README)
5. Open the HTML and use the teach-back questions to check understanding

### Prompt to paste into your agent

```text
Using the fireworks-open-eli5 Skill, build an incident explainer for <incident description> with impact, symptoms, fallback, and teach-back questions, grounded in the cited evidence. Render it to <output.html> and validate it. Report which failure steps lack a source locator.
```

### Caveat

The incident grammar relies on the spec you supply, so the explainer is only as accurate as the evidence you provide.

Risk, remote script: Installing from GitHub with npx gives the Skill the host agent's permissions, so review it first.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/yizhiyanhua-ai-fireworks-open-eli5/explain-incident-failure-behavior/

## How to export an explainer as slides or a document for a briefing with Fireworks Open Eli5

Repo: [yizhiyanhua-ai/fireworks-open-eli5](https://github.com/yizhiyanhua-ai/fireworks-open-eli5) | Difficulty: Beginner | Time: 15 minutes | Basis: From the README

Turn a rendered explainer into PPTX, DOCX, PDF, or PNG output for a team meeting.

**Who it is for:** A team lead or presenter who must brief colleagues who will not open an HTML file.

**The problem:** Meetings often need slides or a document, and rebuilding the material by hand loses the scene-by-scene structure.

**The outcome:** A local PPTX with one 16:9 slide per scene, plus DOCX, PDF, or PNG output from the same explainer.

### Steps

1. Install the Skill with `npx skills@latest add yizhiyanhua-ai/fireworks-open-eli5 -g -a codex -y`
2. Run `node scripts/render.mjs <spec.json> <output.html>` to create the explainer (inferred, check the README)
3. Open the HTML in a modern browser
4. Use the export actions to save PDF, current-scene PNG, all-scene PPTX, or Pages-compatible DOCX
5. Check the file signature by opening it in your presentation or word processor

### Prompt to paste into your agent

```text
Using the fireworks-open-eli5 Skill, render <spec.json> to <output.html> and report the export options available for a team briefing. Confirm the rendered HTML validates with the validate script before any export.
```

### Caveat

Native .pages export needs macOS, Apple Pages, and the bundled loopback helper, so plan on PPTX or DOCX if those are not available.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/yizhiyanhua-ai-fireworks-open-eli5/export-scene-slides-for-briefing/
