Session Intelligence Harvester

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The Session Intelligence Harvester is a specialized engineering skill designed to bridge the gap between temporary fixes and permanent institutional knowledge. It systematically analyzes productive sessions to identify root causes of errors, pattern shifts, and failure modes, then routes these insights to specific components of the Reusable Intelligence Infrastructure (RII) like CLAUDE.md, agent files, and command workflows. By automating the extraction and implementation of session intelligence, it ensures that project guidelines evolve continuously and that recurring errors are proactively prevented in future development cycles, making AI-driven development more robust over time.

Características Principales

• Automatic generation of Project History Records (PHR) and structured commit messages for intelligence updates
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• Systematic session analysis to identify root causes of drift and recurring error patterns
• Standardized encoding of failure modes and agent convergence patterns to prevent recurrence
• Automated routing of insights to specific infrastructure components based on learning classification
• Implementation-first workflow that reads and updates target files with new validation steps and examples

Casos de Uso

• Capturing permanent fixes after correcting recurring formatting or structural errors in project files
• Updating organizational protocols when a new development pattern or canonical reference source is identified
• Encoding failure modes into agent documentation to prevent future AI interactions from repeating past mistakes