Learning Capture

Overview

Extract, organize, and document key learnings from the current conversation. Transform chat discussions into structured, actionable knowledge artifacts for future reference.

Core Workflow

1. Analyze Conversation Context

Review the current conversation to identify:

• Core concepts discussed and explained
• Key insights discovered or realized
• Decisions made and their rationale
• Action items established
• Resources shared (links, tools, techniques)
• Problems solved and solutions applied
• Questions answered with their key takeaways

2. Determine Learning Type

Categorize the learnings to structure output appropriately:

Technical/Skills Learning - Code, tools, techniques, how-tos

• Structure: Problem → Solution → Implementation → Key concepts
• Format: Code examples, command references, step-by-step processes

Conceptual Learning - Ideas, theories, mental models, frameworks

• Structure: Concept → Explanation → Applications → Connections
• Format: Clear definitions, analogies, relationship maps

Decision Documentation - Choices made, options evaluated, next steps

• Structure: Context → Options considered → Decision → Rationale → Next steps
• Format: Pros/cons, trade-offs, action items

Discovery/Research - Information gathered, sources found, synthesis

• Structure: Question → Findings → Sources → Implications → Follow-ups
• Format: Organized research notes with citations

Problem-Solving Session - Debugging, troubleshooting, optimization

• Structure: Problem → Diagnosis → Solution → Prevention → Lessons learned
• Format: Issue description, resolution steps, best practices

3. Extract Key Elements

For each identified learning, capture:

• The core insight (1-2 sentences)
• Supporting context (why it matters, when to apply)
• Actionable takeaway (what to do with this knowledge)
• Related concepts (connections to other learnings)
• Examples/evidence from the conversation

4. Structure Output

Create a document that uses this default structure (adapt as needed):

# Learnings: [Topic/Date]

## Summary
[2-3 sentence overview of what was covered and main discoveries]

## Key Insights
[Most important takeaways - the "headlines"]

## Detailed Learnings

### [Category/Topic 1]
**What I learned:** [Core concept]
**Why it matters:** [Context and significance]
**How to apply:** [Actionable steps or use cases]
**Related:** [Connections to other concepts]

### [Category/Topic 2]
...

## Action Items
- [ ] [Specific next step with context]
- [ ] [Another action item]

## Resources Referenced
- [Tool/Link name]: [URL or description]
- [Reference material]: [Where to find it]

## Questions for Further Exploration
- [Open question or area to investigate]

## Quick Reference
[Condensed cheat sheet of key commands, formulas, or facts]

5. Format Selection

Choose the appropriate output format based on user needs:

Markdown document (.md) - Default for most learnings

• Use for: General knowledge capture, study notes, reference material
• Benefits: Portable, readable, easy to edit and version control

Word document (.docx) - Professional documentation

• Use for: Formal reports, sharing with non-technical audiences
• Benefits: Professional formatting, easy to share/print

Structured notes - Inline summary

• Use for: Quick recaps, when user wants immediate text response
• Benefits: Fast, conversational, no file needed

Checklist/action plan - Task-focused format

• Use for: Implementation-focused sessions, when next steps are primary
• Benefits: Clear actionability, trackable progress

Quality Guidelines

Be concise but complete

• Capture essence without excessive detail
• Include enough context to be useful standalone
• Assume reader has less context than current conversation

Make it actionable

• Focus on what the user can do with this knowledge
• Include specific examples and use cases
• Provide next steps or practice suggestions

Organize for retrieval

• Use clear headings and categories
• Prioritize most important learnings first
• Include a summary for quick scanning

Preserve context

• Note why something was discussed
• Include relevant constraints or conditions
• Link related concepts together

Maintain accuracy

• Ensure technical details are correct
• Clarify assumptions or uncertainties
• Distinguish facts from opinions/recommendations

Examples

Example 1: Technical Learning Session

User: "Capture what we learned about using pandas for data analysis"

Output: Create markdown document with:
- Summary of pandas basics covered
- Key functions and their use cases (with code examples)
- Common patterns discovered during discussion
- Gotchas and best practices identified
- Next learning steps

Example 2: Problem-Solving Session

User: "Document how we solved that API authentication issue"

Output: Create markdown document with:
- Problem description and initial symptoms
- Debugging steps taken
- Root cause identified
- Solution implemented (with code)
- Prevention strategies for future
- Lessons learned

Example 3: Conceptual Discussion

User: "Summarize our discussion about design patterns"

Output: Create markdown document with:
- Design patterns covered (Factory, Observer, etc.)
- When to use each pattern
- Trade-offs and considerations
- Examples from our discussion
- Related patterns and resources

Example 4: Research/Discovery Session

User: "Capture key findings from our research on GraphQL"

Output: Create markdown document with:
- Research questions we explored
- Key findings and sources
- Comparison with REST (discussed)
- Use cases where GraphQL excels
- Implementation considerations
- Resources for deeper learning

Advanced Features

Cross-Reference Previous Learnings

When user has Google Drive access, search for related past learning captures to:

• Identify connections and build on previous knowledge
• Avoid duplication while noting evolution
• Create learning progressions and themes

Multi-Session Synthesis

When user requests consolidation across multiple sessions:

• Identify common themes and patterns
• Track knowledge evolution over time
• Create comprehensive study guides or documentation
• Build personal knowledge bases

Customized Formats

Adapt to user preferences:

• Study flashcards for memorization
• Mind maps for visual learners
• Comparison tables for decision frameworks
• Code snippet libraries for developers
• Cheat sheets for quick reference

Default Behavior

When user says "capture learnings" or similar without specifics:

1. Analyze the entire current conversation
2. Identify 3-5 most significant learnings
3. Create a markdown document with structured summary
4. Include action items if any were discussed
5. Provide the document for user review

Always confirm the output format and structure before generating if ambiguous.