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distill

Analyze memory, tasks, and lessons to generate structured governance proposals.

24|3|Updated Feb 22, 2026
Search Tags:#skills#agents#memory#proposals#governance#distill#lessons
One-click install
npx skills add https://github.com/Borda/.ai-home --skill distill-borda
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: distill
Source: https://github.com/Borda/.ai-home/tree/main/.claude/skills/distill
Command: npx skills add https://github.com/Borda/.ai-home --skill distill-borda

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Distill accumulated work history, memory, and lessons into actionable governance artifacts—new agent/skill suggestions, roster quality reviews, memory pruning, and consolidating feedback into rules and agent/skill updates.

Core Features & Use Cases

  • Surface recurring patterns across memory, tasks, and lessons to propose governance changes.
  • Generate structured proposals for rules, agent instructions, and skill workflows.
  • Identify pruning opportunities and consolidation strategies to reduce drift across the project.

Quick Start

Run the distill process to analyze lessons and memory and generate governance proposals.

Frequently Asked Questions about distill

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

FAQPage Schema
How do I turn accumulated project lessons into actionable governance proposals?▼

To turn lessons into governance proposals, analyze memory files, CLAUDE.md, and task histories to surface recurring patterns. This process generates structured artifacts like agent instructions, rules, and skill workflow updates ready for project review and integration.

What is memory pruning and when do I need it for agent management?▼

Memory pruning identifies and removes outdated or redundant memory files to reduce project drift. You need it when accumulated agent histories cause inconsistencies, allowing consolidation strategies to maintain clean and relevant governance artifacts.

How do I consolidate agent feedback into rules and skill updates?▼

Consolidate agent feedback by inspecting lessons and task histories to identify recurring themes. This generates structured governance proposals that translate scattered feedback into concise rules, agent instructions, and skill workflow updates.

Can I analyze CLAUDE.md and memory files to suggest new agents?▼

Yes, you can analyze CLAUDE.md and memory files to surface patterns that inform new agent suggestions. This distillation process reviews project histories and lessons to propose roster quality reviews and governance updates.

What is the best way to identify recurring themes in project memory?▼

The best way to identify recurring themes is to run a distillation process across memory files, tasks, and lessons. This surfaces patterns across the project and generates structured governance artifacts ready for review and integration.

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