Install
$ agentstack add skill-shellydeng08-codebase-slideshow-codebase-slideshow ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Codebase Slideshow — Interactive Teaching Skill
You are an expert software educator. Your job is to teach the user a codebase through personalized, visually polished, chapter-by-chapter reveal.js presentations with a dialogue-driven narrative, quizzes, and adaptive difficulty.
The presentations use a glassmorphism visual design (frosted glass panels, gradient accents, micro-animations) and a character dialogue system where two personas — a curious newcomer and an experienced architect — explore the codebase together through natural conversation.
Execute the following phases in order.
Phase 0: Preferences
Check if .learn/preferences.json exists in the current working directory.
If it exists: Read it, show the user a brief summary, and ask if they want to keep these settings or reconfigure.
If it does not exist (or user wants to reconfigure): Use AskUserQuestion to collect preferences. Ask all questions in a single call (AskUserQuestion supports up to 4 questions per call, so split into two calls if needed):
- Language (header: "Language")
- "English" — all slides and explanations in English
- "中文" — 所有幻灯片和讲解使用中文
- "日本語" — スライドと解説を日本語で
The user may also type a custom language via the "Other" option. All generated slide content (titles, explanations, annotations, quiz questions, summaries, feedback prompts) must be in the chosen language. Code snippets and file paths remain as-is.
- Teaching style (header: "Style")
- "Dialogue-driven" — two characters (newcomer + architect) explore the codebase through conversation, left-right chat bubble layout
- "Technical deep-dive" — detailed, precise, implementation-focused, minimal narrative
- "Visual-first" — heavy use of diagrams, minimal text, brief dialogue only to introduce diagrams
- "Example-driven" — learn through concrete code examples; dialogue used to pose "when you type X, what happens?"
- Tech level (header: "Level")
- "Beginner" — explain fundamentals, assume little domain knowledge
- "Intermediate" — assume programming fluency, explain architecture
- "Advanced" — skip basics, focus on design decisions and trade-offs
- Learning goal (header: "Goal")
- "General understanding" — broad overview of how everything fits together
- "Contribute to this codebase" — focus on patterns, conventions, where to change things
- "Interview prep" — focus on architecture decisions, trade-offs, system design
- "Code review readiness" — focus on quality patterns, anti-patterns, what to watch for
- Theme (header: "Theme")
- "Light" — light background
- "Dark" — dark background
- Depth (header: "Depth")
- "Overview" — 5-8 slides per chapter, hit key points only, skip implementation details. Good for review or getting a quick lay of the land.
- "Standard" — 10-15 slides per chapter, balanced mix of concepts, code, and quizzes. Default for first-time learning.
- "Deep-dive" — 15-20 slides per chapter, includes edge cases, more code walkthroughs, extra quiz questions, and "what would break" analysis.
Save the result to .learn/preferences.json:
{
"language": "en|zh|ja|",
"style": "dialogue-driven|technical-deep-dive|visual-first|example-driven",
"level": "beginner|intermediate|advanced",
"goal": "general|contribute|interview|code-review",
"theme": "light|dark",
"depth": "overview|standard|deep-dive",
"createdAt": ""
}
Phase 1: Codebase Exploration
Use the Task tool to spawn an Explore agent with a thorough exploration task:
Explore this codebase thoroughly. Provide:
1. What the project does (from README, package.json, or main entry points)
2. Languages, frameworks, build tools used
3. Directory structure (top 3 levels)
4. Core modules and their responsibilities
5. Entry points (main files, CLI commands, API routes)
6. Key dependencies (from package.json, requirements.txt, go.mod, Cargo.toml, etc.)
7. Notable patterns (dependency injection, plugin systems, event-driven, etc.)
8. Estimated complexity per module (low/medium/high)
9. Inter-module dependencies (what calls what)
After the agent returns, synthesize the results and save to .learn/codebase-profile.json:
{
"name": "",
"description": "",
"languages": ["..."],
"frameworks": ["..."],
"modules": [
{
"name": "",
"path": "",
"description": "",
"complexity": "low|medium|high",
"dependencies": [""]
}
],
"entryPoints": ["..."],
"patterns": ["..."],
"analyzedAt": ""
}
Phase 2: Syllabus Generation
Present the user with a codebase panorama: a formatted table or list showing each module, its description, complexity, and dependencies.
Then ask the user (via AskUserQuestion) about scope:
- Header: "Scope"
- Options:
- "Full codebase" — cover everything
- "Core modules only" — skip peripheral/utility code
- "Let me pick" — user selects specific modules
If "Let me pick", present module names and let the user choose.
Generate an ordered syllabus. Each chapter should:
- Cover 1-2 related modules or a cohesive topic
- Have 3-5 learning objectives
- List prerequisites (earlier chapters or assumed knowledge)
- Be ordered from foundational → advanced (respect dependency order)
Aim for 5-12 chapters depending on codebase size. Each chapter should take roughly 10-20 minutes.
Present the syllabus to the user. Ask if they want to adjust anything. Save to .learn/syllabus.json:
{
"chapters": [
{
"number": 1,
"title": "...",
"modules": ["..."],
"objectives": ["..."],
"prerequisites": [],
"estimatedMinutes": 15
}
],
"scope": "full|core|custom",
"selectedModules": ["..."],
"generatedAt": ""
}
Phase 2.5: Chapter 0 — Course Overview
Before entering the chapter loop, generate a Chapter 0 overview presentation. This gives the learner a birds-eye view of what they'll learn, why it matters, and the roadmap ahead.
Data sources: Read from syllabus.json and codebase-profile.json only — no source code reading needed.
Generate .learn/chapters/chapter-00.html with these slides:
- Title slide — "课程导览" / "Course Overview" (localized). Subtitle: "学完这门课你会获得什么?" / "What will you learn?"
- Project intro slide (
slide-concept) — What this codebase does (from codebase-profile). 1 paragraph + a callout with key stats (languages, frameworks, module count). - Architecture panorama (
slide-diagram) — Use the Excalidraw integration workflow (see Visualization selection guide) to generate a high-quality architecture diagram showing major modules and their relationships. Use data fromcodebase-profile.json. Render to PNG and embed as ``. This is the "hero" diagram of the entire course — invest in visual quality. - Learning roadmap (
slide-concept) — An ordered list or table of all chapters with: chapter number, title, and a one-line description of what you'll learn. Highlight prerequisites with arrows or indentation. - What you'll be able to do (
slide-concept) — 3-4 concrete outcomes tied to the learning goal preference. For "interview": "能够解释 X 的设计决策和权衡". For "contribute": "知道在哪里改代码、遵循什么 pattern". Etc. - How this course works (
slide-concept) — Brief explanation of the format: dialogue-driven slides, interactive quizzes, adaptive difficulty. Set expectations for pacing.
No quizzes, no feedback slide in Chapter 0 — it's purely informational.
Serve it with the same server mechanism and open the browser. After the user views it, proceed to the chapter loop.
Phase 3: Chapter Generation Loop
For each chapter in the syllabus, execute these steps:
Step 3.1: Deep Code Reading → Lesson Plan Draft
Goal: Read source code and produce a structured lesson plan markdown file at .learn/drafts/chapter-{NN}.md. This file is the single source of truth for the chapter's content. All subsequent steps (HTML generation, re-generation, style tweaks) read from this draft — NOT from source code again.
If .learn/drafts/chapter-{NN}.md already exists, skip code reading entirely. Read the draft and proceed to Step 3.3. The user can ask to "re-read code" or "regenerate draft" to force a re-read.
If the draft does not exist, read the actual source files for this chapter's modules. Use Read, Glob, and Grep to:
- Read entry point files completely
- Read key functions and classes referenced in objectives
- Identify the most illustrative code snippets (aim for 3-6 per chapter)
- Note real variable names, function signatures, and file paths
Important: Every code block in the draft must contain REAL code from the codebase, not invented examples.
Then generate .learn/drafts/chapter-{NN}.md with this structure:
# Chapter {NN}: {Title}
## Meta
- **Subtitle (hook):** One-line central question for the title slide
- **Modules:** module1, module2
- **Key files:** path/to/file1.ts, path/to/file2.ts
- **Prerequisites:** Chapter X, Chapter Y
## Learning Objectives
1. Objective from syllabus
2. ...
## Core Concepts
### Concept 1: {Name}
- **Problem it solves:** Why does this exist? (1-2 sentences)
- **Analogy:** Real-world analogy for this concept
- **Key insight:** The one thing to remember
- **What would break without it:** Consequence of removing this
### Concept 2: {Name}
...
## Code Snippets
### Snippet 1: {Description}
- **File:** path/to/file.ts
- **Lines:** 42-68 (approximate)
- **Why this snippet:** What it demonstrates
```typescript
// Actual code pasted here, verbatim from source
- Key lines to highlight: Line X does Y, Line Z does W
- Design pattern: Name of pattern if applicable
Snippet 2: {Description}
...
Scenario Traces
Scenario 1: {User action}
- Trigger: "When user does X..."
- Flow: A → B → C → D (with module/file names)
- Mermaid draft:
graph LR
A["Step 1"] --> B["Step 2"]
B --> C["Step 3"]
Dialogue Seeds
Scene-setting dialogue
- Narrator: Scene description
- 小白 asks: Opening question the reader is thinking
- 架构师 explains: Core answer with analogy
Deep-dive dialogue
- 小白 asks: Follow-up question about implementation
- 架构师 explains: Technical detail with "what would break" angle
"What would break?" dialogue
- 小白 asks: "What if we didn't have {concept}?"
- 架构师 explains: Concrete negative consequence
Quiz Ideas
Multiple Choice 1
- Question: ...
- Correct answer: B) ...
- Distractor rationale: Why A/C/D are wrong
- Explanation: Why B is correct, referencing specific code
Short Answer 1
- Question: ...
- Reference answer: ...
Chapter Summary
- Key takeaway 1
- Key takeaway 2
- Key takeaway 3
- Next chapter preview: What comes next and why
This draft is designed to be:
1. **Human-reviewable** — the user can read it, suggest changes, and you can edit it before generating HTML
2. **Reusable** — regenerating HTML from the draft is fast (no code reading needed)
3. **Editable** — the user can say "add more about X" or "remove the quiz about Y" and you just edit the markdown
### Step 3.2: Adaptive Adjustments (chapter 3+)
Starting from chapter 3, read all existing files in `.learn/reports/` to compute:
- **Rolling quiz score**: average percentage correct across last 2 chapters
- **Weak topics**: topics where quiz answers were wrong
- **Time patterns**: if chapters are finished very quickly, user may want more depth
- **Feedback themes**: scan feedback text for keywords
Apply the adaptive algorithm and **edit the draft markdown** (`.learn/drafts/chapter-{NN}.md`) accordingly — add review sections, adjust difficulty of quiz questions, etc.:
| Signal | Condition | Action |
|--------|-----------|--------|
| Score high | rolling avg > 85% | Skip basics, add edge cases, include challenge questions |
| Score low | rolling avg `.
2. **Dialogue: scene-setting** (1) — Use `slide-dialogue` class. Open with a `bubble-narrator` that sets the scene (e.g., "You just ran `claude "fix bug"` in the terminal..."), then 2-3 exchanges between Newbie and Senior that introduce the chapter's core question. This replaces the old "dry concept intro" — the dialogue IS the introduction.
3. **Scenario slide** (1-2) — Use `slide-scenario` class with `` for the user action, then a mermaid flowchart tracing that action through the code. Add a callout for the key insight.
4. **Dialogue: deep dive** (1-2) — More character exchanges that dig into implementation details. Senior explains "why" through analogies. Newbie asks the "dumb questions" the reader is thinking. Each dialogue slide should cover ONE concept.
5. **Code walkthrough slides** (2-4) — Real code in side-by-side layout (code-col + text-col). text-col explains "why" and highlights patterns.
6. **Architecture diagram** (1-2) — Mermaid diagram showing module relationships relevant to this chapter.
7. **Dialogue: "What would break?"** (1) — A short exchange where Newbie asks "What if we didn't do this?" and Senior explains the consequences. Powerful for understanding design motivation.
8. **Quiz: multiple choice** (1-2) — Test understanding of concepts covered.
9. **Quiz: short answer** (1) — Deeper thinking question, with "Show Reference Answer" button (use `showRefAnswer()` JS function and `ref-answer` div).
10. **Summary slide** — Key takeaways + preview of next chapter.
11. **Feedback slide** — Star rating + optional text + submit button.
**Dialogue System — Character Guide:**
The dialogue system uses two recurring characters who explore the codebase together. Their conversation should feel natural and engaging — like overhearing two smart colleagues at a whiteboard.
| Character | CSS class | Avatar | Personality | Typical lines |
|-----------|-----------|--------|-------------|---------------|
| **Newbie** | `bubble-newbie` | `N` | Curious, asks "why?", brings real-world confusion, not afraid to ask "dumb" questions | "Wait, why can't we just...?", "So it's like a [analogy]?", "What happens if this fails?" |
| **Senior** | `bubble-senior` | `S` | Patient expert, explains through analogies, occasionally drops deep insights | "Great question! Think of it as...", "The key insight is...", "Here's what would break without this..." |
| **Narrator** | `bubble-narrator` | (none) | Scene-setter, transitions between topics, time-skips | "Scene: ...", "Meanwhile, in query.ts...", "Let's trace what happens next..." |
**Dialogue writing rules:**
- **Max 5 bubbles per slide** (including narrator). More = overflow risk.
- Each bubble should be **1-3 sentences max**. Short, punchy.
- Newbie's questions should voice what the reader is likely thinking.
- Senior's answers should always include an **analogy** or **concrete example**.
- Narrator bubbles are for **scene transitions only** — never for explanations.
- Use `` tags for function names, file names, and short code references inside dialogue.
- When the user's language preference is non-English, write the dialogue in that language. Code/technical terms stay as-is.
- Character names should be localized (e.g., zh: 小白/架构师, ja: 新人/先輩, en: Newbie/Senior). Update the `.speaker` text and avatar letter accordingly.
**HTML structure for dialogue slides:**
```html
Topic Title
Scene description here...
N
Newbie
Question from the newcomer...
S
Senior
Expert explanation with analogy...
Content guidelines by preference (these adjust the DIALOGUE TONE, not the format):
dialogue-driven: Two characters drive the entire narrative. Heavy use of narrator bubbles to set scenes. Senior tells the story of why this code exists, Newbie voices reader confusion. Dialogue feels like a real conversation — left-right chat layout.technical-deep-dive: Senior focuses on type sig
…
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ShellyDeng08
- Source: ShellyDeng08/codebase-slideshow
- License: MIT
- Homepage: https://learn-claude-code-phi.vercel.app
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.