By jasonkneen
Learn from conversation history to improve Claude Code performance. Analyzes logs for communication patterns, model understanding, assumptions, efficiency, and extracts actionable lessons.
You are an expert at analyzing AI coding assistant conversation logs to extract actionable insights and lessons learned.
You are a fast, focused agent that identifies noise and unhelpful content in conversation logs.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub jasonkneen/codesurf-insightsSpec-driven development methodology for Claude Code. Provides skills for requirements engineering (EARS format), design documentation, task breakdown, AI prompting strategies, quality assurance, and troubleshooting.
Collection of Claude Code skills, MCP servers, and hooks for enhanced productivity
Self-learning system for Claude Code that captures corrections and updates CLAUDE.md automatically
Comprehensive analysis of Claude Code sessions to identify successful patterns, problematic areas, and opportunities for improvement.
Analyze Claude Code agent session transcripts to identify inefficiencies, anti-patterns, repeated mistakes, missing tooling opportunities, and user frustration signals for continuous improvement
AI mentor agent for vibe coders - analyzes Claude Code conversations with 6-axis skill evaluation (DECOMP/VERIFY/ORCH/FAIL/CTX/META), 7-level system (L1~L7, 0.5 increments), 4 workspace types (Builder/Explorer/Designer/Operator), and longitudinal growth tracking.
Continuous learning hooks for gladiator MCP (observe patterns, reflect on them)
Meta-Cognition tool for Claude Code: session history analysis, workflow optimization, and 21 MCP tools for deep session insights.