skill-from-notebook
Extract methodologies from documents or examples to create executable skills
What this skill does
# Skill from Notebook
Extract actionable methodologies from learning materials (documents, articles, videos) or quality examples (blog posts, designs, code) to generate reusable Skills.
**Core Philosophy**: NotebookLM helps you understand. This skill helps you **do**.
## When to Use
When users want to turn knowledge into executable skills:
- "I just read this article about code review, help me create a skill from it"
- "Here's a great technical blog post, extract the writing methodology"
- "Turn this PDF guide into a skill I can reuse"
- "Learn from this example and create a skill to produce similar output"
## Supported Input Types
| Type | How to Process |
|------|----------------|
| Local files | PDF, Word, Markdown - Read directly |
| Web URL | WebFetch to extract content |
| YouTube | Use yt-dlp for subtitles, Whisper if unavailable |
| NotebookLM link | Browser automation to extract notes/summaries |
| Example/Output | Reverse engineer the methodology |
## Step 0: Identify Input Type
**Critical first step** - Determine which processing path to use:
```
User Input
│
├─ Has teaching intent? ("how to", "steps", "guide")
│ └─ YES → Path A: Methodology Document
│
├─ Is a finished work? (article, design, code, proposal)
│ └─ YES → Path B: Example (Reverse Engineering)
│
└─ Neither? → Tell user this content is not suitable
```
**Path A indicators** (Methodology Document):
- Contains words like "how to", "steps", "method", "guide"
- Has numbered lists or step sequences
- Written with teaching intent
- Describes "what to do"
**Path B indicators** (Example/Output):
- Is a complete work/artifact
- No teaching intent
- Is "the thing itself" rather than "how to make the thing"
- Examples: a well-written blog post, a polished proposal, a code project
---
## Path A: Extract from Methodology Document
### A1: Validate Document Suitability
Check if the document is suitable for skill generation (must meet at least 2):
- [ ] Has clear goal/outcome
- [ ] Has repeatable steps/process
- [ ] Has quality criteria
- [ ] Has context/scenario description
**If not suitable**: Tell user honestly and explain why.
### A2: Identify Skill Type
| Type | Characteristics | Examples |
|------|-----------------|----------|
| **How-to** | Clear step sequence, input→output | Deploy Docker, Configure CI/CD |
| **Decision** | Conditions, trade-offs, choices | Choose database, Select framework |
| **Framework** | Mental model, analysis dimensions | SWOT, 5W1H, First Principles |
| **Checklist** | Verification list, pass/fail criteria | Code review checklist, Launch checklist |
### A3: Extract Structure by Type
**For How-to:**
- Prerequisites
- Step sequence (with expected output per step)
- Final expected result
- Common errors
**For Decision:**
- Decision factors
- Options with pros/cons
- Decision tree/flowchart
- Recommended default
**For Framework:**
- Core concepts
- Analysis dimensions
- Application method
- Limitations
**For Checklist:**
- Check items with criteria
- Priority levels
- Commonly missed items
### A4: Generate Skill
Use this template:
```markdown
## Applicable Scenarios
[When to use this skill]
## Prerequisites
- [What's needed before starting]
## Steps
1. [Step 1] - [Expected outcome]
2. [Step 2] - [Expected outcome]
...
## Quality Checkpoints
- [ ] [Checkpoint 1]
- [ ] [Checkpoint 2]
## Common Pitfalls
- [Pitfall 1]: [How to avoid]
## Source
- Document: [name/URL]
- Extracted: [timestamp]
```
---
## Path B: Reverse Engineer from Example
When input is a finished work (not a tutorial), reverse engineer the methodology.
### B1: Identify Output Type
What kind of artifact is this?
- Technical blog post
- Product proposal/PRD
- Academic paper
- Code architecture
- Design document
- Other: [specify]
### B2: Analyze Structure
Break down the example:
```
Structure Analysis:
├── [Part 1]: [Function] - [Proportion %]
├── [Part 2]: [Function] - [Proportion %]
├── [Part 3]: [Function] - [Proportion %]
└── [Part N]: [Function] - [Proportion %]
```
Questions to answer:
- How many parts does it have?
- What's the function of each part?
- What's the order and proportion?
### B3: Extract Quality Characteristics
What makes this example **good**?
| Dimension | Questions |
|-----------|-----------|
| Structure | How is content organized? |
| Style | Tone, word choice, expression? |
| Technique | What methods make it effective? |
| Logic | How does information flow? |
| Details | Small but important touches? |
### B4: Reverse Engineer the Process
Deduce: To create this output, what steps are needed?
```markdown
## Deduced Production Steps
1. [Step 1]: [What to do] - [Key point]
2. [Step 2]: [What to do] - [Key point]
...
## Key Decisions
- [Decision 1]: [Options] - [This example chose X because...]
## Reusable Techniques
- [Technique 1]: [How to apply]
- [Technique 2]: [How to apply]
```
### B5: Generate Skill
Use this template for reverse-engineered skills:
```markdown
## Output Type
[What kind of artifact this produces]
## Applicable Scenarios
[When to create this type of output]
## Structure Template
1. [Part 1]: [Function] - [~X%]
2. [Part 2]: [Function] - [~X%]
...
## Quality Characteristics (Learned from Example)
- [Characteristic 1]: [How it manifests]
- [Characteristic 2]: [How it manifests]
## Production Steps
1. [Step 1]: [What to do] - [Tips]
2. [Step 2]: [What to do] - [Tips]
...
## Checklist
- [ ] [Check item 1]
- [ ] [Check item 2]
## Reference Example
- Source: [name/URL]
- Analyzed: [timestamp]
```
---
## Example: Path A (Methodology Document)
**User**: "Extract a skill from this article about writing good commit messages"
**Process**:
1. Read the article
2. Identify: This is a **How-to** type (has steps, teaching intent)
3. Extract:
- Goal: Write clear, useful commit messages
- Steps: Use conventional format, separate subject/body, etc.
- Quality criteria: Subject < 50 chars, imperative mood, etc.
4. Generate skill with steps and checklist
---
## Example: Path B (Reverse Engineering)
**User**: "Here's a great technical blog post. Learn from it and create a skill for writing similar posts."
**Process**:
1. Identify: This is an **example** (finished work, no teaching intent)
2. Analyze structure:
```
├── Hook: Real pain point (2-3 sentences)
├── Problem: 3 sentences on the core issue
├── Solution: Conclusion first, then details
├── Code: Each snippet < 20 lines, with comments
├── Pitfalls: 3 common errors
└── Summary: One-line takeaway
```
3. Extract quality characteristics:
- Title = specific tech + problem solved
- One idea per paragraph
- Code:text ratio ~40:60
- Personal anecdotes for credibility
4. Reverse engineer steps:
- Start with a real problem you solved
- Write the solution first, then the setup
- Add code samples progressively
- etc.
5. Generate skill: "How to Write a Technical Blog Post"
---
## Advanced: Multi-Example Learning
When user provides multiple examples of the same type:
```
Example A ──┐
Example B ──┼──> Extract commonalities ──> Core methodology
Example C ──┘ │
▼
Analyze differences ──> Style variants / Optional techniques
```
This produces more robust, generalizable skills.
---
## Important Notes
1. **Always validate first** - Not all content is suitable for skill extraction
2. **Identify the path early** - Methodology doc vs Example require different approaches
3. **Be specific** - Vague skills are useless; include concrete steps and criteria
4. **Preserve the source** - Always credit where the knowledge came from
5. **Ask for clarification** - If unsure about user intent, ask before proceeding
6. **Quality over speed** - Take time to truly understand the content
## What This Skill is NOT
- NOT a summarizer (that's NotebookLM's job)
- NOT a document converter
- It's about extracting **actionable methodology** that can be repeRelated in General
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