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brain-debrief

Analyze brain statistics, pattern strengths, and memory topics to generate intelligence reports.

6|3|Updated Feb 24, 2026
Search Tags:#ai#patterns#reporting#knowledge#debrief#intelligence
One-click install
npx skills add https://github.com/adrozdenko/soleri --skill brain-debrief
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: brain-debrief
Source: https://github.com/adrozdenko/soleri/tree/main/agents/salvador-filetree/skills/brain-debrief
Command: npx skills add https://github.com/adrozdenko/soleri --skill brain-debrief

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive overview of the knowledge and patterns your AI has accumulated across sessions and projects, transforming raw data into actionable intelligence.

Core Features & Use Cases

  • Intelligence Reporting: Surface learned patterns, recurring anti-patterns, and knowledge distribution.
  • Cross-Project Insights: Discover what's working in other projects and how it might apply to the current one.
  • Learning Velocity Tracking: Monitor how the AI's intelligence is growing over time.
  • Use Case: After a long development cycle, ask "What have I learned?" to get a summary of the most effective patterns, identify any recurring issues, and see which areas of knowledge are underdeveloped.

Quick Start

Ask the AI for an intelligence report on what it has learned.

Frequently Asked Questions about brain-debrief

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

FAQPage Schema
How do I generate an intelligence report of my AI's learned patterns?▼

To generate an intelligence report, ask the AI to debrief its accumulated knowledge. The skill analyzes brain statistics, pattern strengths, and memory topics to surface actionable insights across sessions.

What is the best way to track AI learning velocity across projects?▼

Tracking AI learning velocity involves monitoring accumulated knowledge and pattern strengths over time. This skill assesses vault age and brain statistics to measure how effectively the AI's intelligence is growing.

Can I discover cross-project patterns from my AI's previous sessions?▼

Yes, you can discover cross-project patterns by analyzing the AI's accumulated knowledge. This skill identifies recurring anti-patterns and effective strategies from other projects to apply to current development cycles.

How do I identify recurring anti-patterns in my AI's knowledge base?▼

Identifying recurring anti-patterns requires analyzing the AI's accumulated memory topics and pattern strengths. This skill surfaces these issues in an intelligence report, highlighting areas needing correction.

Does this AI knowledge debrief require any external dependencies?▼

No external dependencies are required to perform an AI knowledge debrief. The skill operates independently using internal references to analyze brain statistics and vault age for actionable reporting.

When do I need an AI intelligence debrief for software engineering?▼

You need an AI intelligence debrief after a long development cycle to summarize learned patterns. It helps identify underdeveloped knowledge areas and effective strategies for future projects.

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