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memory_summarize

Summarize llm_context.md in the .kogniterm directory with a fixed-length placeholder.

5|Updated Aug 9, 2025
Search Tags:#context#memory#summarize#file-io#placeholder#llm_context#kogniterm
One-click install
npx skills add https://github.com/gatovillano/KogniTerm --skill memory-summarize-gatovillano
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory_summarize
Source: https://github.com/gatovillano/KogniTerm/tree/main/kogniterm/skills/bundled/memory_summarize
Command: npx skills add https://github.com/gatovillano/KogniTerm --skill memory-summarize-gatovillano

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill consolidates the project's memory by condensing llm_context.md inside the .kogniterm directory, making it easier to reference during sessions.

Core Features & Use Cases

  • Memory condensation: Trims and standardizes long memory content to a concise summary.
  • In-place updating: Overwrites the target memory file with the summarized content for immediate reuse.
  • Use case: When project context grows, run memory_summarize to keep llm_context.md compact and maintainable.

Quick Start

Run memory_summarize with file_path llm_context.md and a max_length to produce a compact summary.

Frequently Asked Questions about memory_summarize

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I condense project memory for quick reference during LLM sessions?▼

To condense project memory for quick reference, you can summarize the llm_context.md file located in the .kogniterm directory. This reduces large context files into a fixed-length summary for immediate reuse.

What is the best way to summarize llm_context.md when project memory grows too large?▼

The best way to summarize llm_context.md is to apply a fixed-length truncation placeholder to the file. This overwrites the original memory content in the .kogniterm store with a compact, manageable summary.

Can I overwrite the original llm_context.md file in place with a summarized version?▼

Yes, you can overwrite the original llm_context.md file in place. The summarization process targets the file directly and replaces its content with the summarized version for safe, local use.

How do I run a truncation placeholder on a local memory store file?▼

To run a truncation placeholder on a local memory store file, execute the summarization tool with the file_path set to llm_context.md and specify a max_length. This generates a compact summary instantly.

Does summarizing llm_context.md permanently delete my original project context?▼

Summarizing llm_context.md overwrites the original file with the summarized content. It is designed for safe, local use, but the original expanded text is replaced in place by the condensed version.

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