When should I trigger the Session Intelligence Harvester?

You should use it after a session where you corrected format drift, added new validation checks, identified a significant failure mode, or touched multiple files with similar pattern corrections.

Does this skill automatically edit my files?

Yes, the skill is designed to take action by reading target files, applying precise edits to encode new intelligence, and verifying the changes before committing.

What is session harvesting in Claude Code?

Session harvesting is the process of analyzing a productive AI session to extract learnings, patterns, and corrections, then encoding them into the project's permanent documentation to prevent future errors.

What are RII components?

Reusable Intelligence Infrastructure (RII) refers to files like CLAUDE.md, agent profiles, and command files that store the project's context, protocols, and behavioral rules.

Session Intelligence Harvester

Name: Session Intelligence Harvester
Author: Rayder-23

byRayder-23

生産性とワークフロー

Encodes session-specific learnings and corrections into permanent organizational knowledge to prevent recurring errors and pattern drift.

概要

The Session Intelligence Harvester is a specialized skill designed to automate the capture of insights from productive development sessions. It systematically identifies corrections, format drifts, and newly discovered patterns, routing them to the appropriate Reusable Intelligence Infrastructure (RII) components such as CLAUDE.md or agent-specific guidelines. By transforming one-time fixes into permanent architectural updates, it ensures that your AI environment improves with every session, creating a self-reinforcing loop of organizational intelligence that prevents failure modes from repeating.

主な機能

Automatic Project History Record (PHR) generation and structured commits
Intelligent routing of learnings to RII components like CLAUDE.md and Agent files
Validation against canonical sources and project format specifications
Automated session analysis for error patterns and architectural drift
0 GitHub stars
Direct multi-file implementation of updates with precise placement

ユースケース

Updating agent behavioral protocols based on newly discovered failure modes
Encoding new coding standards after fixing recurring format errors
Standardizing project workflows by converting session-specific fixes into global rules

概要

主な機能

Automatic Project History Record (PHR) generation and structured commits
Intelligent routing of learnings to RII components like CLAUDE.md and Agent files
Validation against canonical sources and project format specifications
Automated session analysis for error patterns and architectural drift
0 GitHub stars
Direct multi-file implementation of updates with precise placement

ユースケース

Updating agent behavioral protocols based on newly discovered failure modes
Encoding new coding standards after fixing recurring format errors
Standardizing project workflows by converting session-specific fixes into global rules