git:20260507.50823d8 to git:20260507.44b06c0

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name: memory-summarization

description: Conversation summarization for memory compression and context management

allowed-tools:

- Read

- Write

- Edit

- Bash

- Glob

- Grep

graph:

domains: [domain:software-engineering]

specializations: [specialization:ai-agents-conversational]

roles: [role:ml-engineer, role:backend-engineer]

workflows: [workflow:feature-development, workflow:ml-model-lifecycle]

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# Memory Summarization Skill

## Capabilities

- Implement conversation summarization strategies

- Configure rolling summary updates

- Design hierarchical summarization

- Implement token-aware summarization

- Create extractive and abstractive summaries

- Design summary quality evaluation

## Target Processes

- conversational-memory-system

- long-term-memory-management

## Implementation Details

### Summarization Strategies

1. **Rolling Summary**: Update summary with new messages

2. **Hierarchical**: Multi-level summarization

3. **Token-Budget**: Fit within token limits

4. **Extractive**: Key message selection

5. **Abstractive**: LLM-generated summaries

### Configuration Options

- LLM for summarization

- Summary token budget

- Update frequency

- Summary template

- Quality thresholds

### Best Practices

- Balance detail vs compression

- Preserve key information

- Monitor summary quality

- Test with long conversations

- Handle context window limits

### Dependencies

- langchain-core

- LLM provider