memory-summarization
Conversation summarization for memory compression and context management
npx skills add a5c-ai/babysitter --skill memory-summarization --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Capabilities
- Target Processes
- Implementation Details
- Summarization Strategies
- Configuration Options
- Best Practices
- Dependencies
What does the memory-summarization skill do?
Conversation summarization for memory compression and context management
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill memory-summarization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.