assimilate-popular-wor…
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md…
@a5c-aiInstall SkillAutomation
Skill
/memory-summarization
Conversation summarization for memory compression and context management
Claude Code
$ npx -y skills add a5c-ai/babysitter --skill memory-summarization --agent claude-code
Codex
$ npx skills add a5c-ai/babysitter --skill memory-summarization -a codex -y
Cursor
$ npx skills add a5c-ai/babysitter --skill memory-summarization -a cursor -y
Gemini CLI
$ npx skills add a5c-ai/babysitter --skill memory-summarization -a gemini-cli -y
GitHub Copilot
$ npx skills add a5c-ai/babysitter --skill memory-summarization -a github-copilot -y
OpenCode
$ npx skills add a5c-ai/babysitter --skill memory-summarization -a opencode -y
Windsurf
$ npx skills add a5c-ai/babysitter --skill memory-summarization -a windsurf -y
SKILL.md
memory-summarization.SKILL.mdname: 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]
skillAreas: [skill-area:context-management, skill-area:llm-summarization-qa]
roles: [role:ml-engineer, role:backend-engineer]
workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
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
Read more
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] skillAreas: [skill-area:context-management, skill-area:llm-summarization-qa] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
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
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Questions about memory-summarization.
- Which coding agents can use memory-summarization?
- memory-summarization installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.