memory-distill

Distill unprocessed DailyActivity entries into MEMORY.md summaries with frontmatter flags.

36|4|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/xg-gh-25/SwarmAI --skill memory-distill-xg-gh-25
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-distill
Source: https://github.com/xg-gh-25/SwarmAI/tree/main/backend/skills/s_memory-distill
Command: npx skills add https://github.com/xg-gh-25/SwarmAI --skill memory-distill-xg-gh-25

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates turning unprocessed DailyActivity logs into structured MEMORY.md entries, reducing manual curation and surfacing learning.

Core Features & Use Cases

  • Distills unprocessed DailyActivity files into MEMORY.md entries
  • Updates MEMORY.md sections with distilled content and marks files as distilled
  • Supports educational and auditing workflows by preserving key decisions, lessons, patterns

Quick Start

Trigger distillation of unprocessed DailyActivity files into MEMORY.md at session start.

Frequently Asked Questions about memory-distill

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

FAQPage Schema
How do I automate distilling daily activity logs into a knowledge base?

Automating daily activity distillation processes unprocessed DailyActivity logs into structured MEMORY.md summaries, capturing decisions and lessons automatically without manual curation.

Do I need to manually mark files to avoid duplicate memory distillation?

No, manual marking is unnecessary for memory distillation because the process uses frontmatter flags to automatically mark processed files and skips entries already distilled.

Can I preserve original sections when consolidating daily logs into memory notes?

Yes, consolidating daily logs preserves sections by updating the relevant MEMORY.md sections with distilled content while maintaining the original structure of your files.

What is the best way to extract lessons and decisions from daily activity entries?

The best way to extract lessons is using automated distillation to process unprocessed DailyActivity entries, surfacing key patterns and decisions into structured memory notes.

When should I trigger memory distillation for my daily activity logs?

Trigger memory distillation at session start to automatically process unprocessed DailyActivity files, ensuring your MEMORY.md captures recent decisions and lessons promptly.

Does memory distillation require any external dependencies to process logs?

No external dependencies are required for memory distillation; it operates autonomously using frontmatter flags to track processed files and update MEMORY.md sections.