session-intelligence-harvester

Extract actionable learnings from sessions and route them into RII components.

7|1|Updated Feb 14, 2026

Search Tags:#workflow #routing #learnings #knowledge-management #session-analysis #harvest #rii

Ready to run

npx skills add https://github.com/SARAMALI15792/AINativeBook --skill session-intelligence-harvester-saramali15792

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: session-intelligence-harvester
Source: https://github.com/SARAMALI15792/AINativeBook/tree/main/.qwen/skills/session-intelligence-harvester
Command: npx skills add https://github.com/SARAMALI15792/AINativeBook --skill session-intelligence-harvester-saramali15792

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transform session learnings into permanent organizational knowledge by encoding corrections, patterns, and learnings into the Reusable Intelligence Infrastructure (RII). This prevents recurrence of issues by ensuring insights are codified and applied across multiple files and components.

Core Features & Use Cases

Analyze productive sessions to identify corrections, drift, and emergent patterns.
Route captured learnings to the appropriate RII components and automate updates across files.
Support both automatic triggers and user requests like "harvest learnings" or "capture session intelligence" to enforce knowledge retention.

Quick Start

Run a harvest on the latest session to extract corrections and route learnings into the appropriate RII components.

Frequently Asked Questions about session-intelligence-harvester

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

FAQPage Schema

How do I capture session learnings into a reusable knowledge base?▼

To capture session learnings, you must extract actionable corrections and patterns, then encode them into a Reusable Intelligence Infrastructure. This process analyzes productive sessions and routes insights to the correct components to prevent issue recurrence.

What is the best way to automate knowledge management from workflow sessions?▼

Automating knowledge management involves analyzing productive sessions to identify format drift and emergent patterns, then routing those learnings to appropriate infrastructure components. This automatically applies codified insights to stabilize future files.

How do I route workflow corrections to specific project files automatically?▼

Routing corrections automatically requires encoding session learnings into a structured infrastructure that targets specific components. This governance mechanism routes updates directly to files like CLAUDE.md and chapter-planner to guide future updates.

Can I use a session harvester to fix format drift across multiple files?▼

Yes, you can use a session harvester to fix format drift by identifying the drift during a productive session and routing the correction to the Reusable Intelligence Infrastructure. This ensures the fix is automatically applied to stabilize multiple files.

When should I harvest session intelligence instead of manual note-taking?▼

You should harvest session intelligence when productive sessions yield corrections, new patterns, or format fixes that need permanent organizational knowledge retention. This prevents recurrence by codifying insights across multiple components rather than isolated notes.