session-intelligence-harvester

Encode session learnings into Reusable Intelligence Infrastructure components.

Updated Dec 7, 2025
One-click install
npx skills add https://github.com/Rayder-23/Hackathon-1_Physical-AI-Book --skill session-intelligence-harvester-rayder-23
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: session-intelligence-harvester
Source: https://github.com/Rayder-23/Hackathon-1_Physical-AI-Book/tree/main/.claude/skills/session-intelligence-harvester
Command: npx skills add https://github.com/Rayder-23/Hackathon-1_Physical-AI-Book --skill session-intelligence-harvester-rayder-23

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transform session learnings into permanent organizational intelligence by encoding them into the Reusable Intelligence Infrastructure (RII) components. This ensures corrections, format drift fixes, and new patterns are captured and reused across future work.

Core Features & Use Cases

  • Harvest learnings from productive sessions after corrections, discoveries, or pattern identification and route them to the appropriate RII components.
  • Automate encoding of lessons into CLAUDE.md, skill files, and related workflow documents to prevent recurrence.
  • Use manual triggers like "Harvest learnings" or "Capture session intelligence" to prompt encoding and dissemination of knowledge.

Quick Start

Summarize the session learnings and apply updates across RII components to encode permanent knowledge.

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 to prevent recurring errors in future workflows?

Capture session learnings by harvesting corrections and discoveries, then encoding them into Reusable Intelligence Infrastructure components like CLAUDE.md and related workflow documents to prevent recurrence. This enforces end-to-end updates across multiple target files.

What is the best way to automate knowledge management after a productive coding session?

Automate knowledge management by triggering session intelligence harvesting after pattern identification or corrections. The system routes insights to the appropriate RII components, modifying files directly to prioritize implementation over proposals.

How does encoding session intelligence into RII components work?

Encoding session intelligence works by routing harvested learnings to correct RII components, applying end-to-end updates across multiple target files like CLAUDE.md and skill files to ensure permanent organizational intelligence.

Can I manually trigger session analysis to capture insights without automatic detection?

Yes, you can manually trigger session analysis by using explicit requests like "Harvest learnings" or "Capture session intelligence" to prompt the encoding and dissemination of knowledge into the infrastructure.

When should I harvest learnings from a session for knowledge management?

Harvest learnings after corrections, discoveries, or pattern identification during productive sessions. The skill applies in these scenarios to encode permanent knowledge and prevent future recurrence of similar errors.

Does session intelligence harvesting only propose updates or does it modify files directly?

Session intelligence harvesting prioritizes implementation over mere proposals by enforcing end-to-end updates that directly modify multiple target files including CLAUDE.md, skill files, and related workflow documents.