01Multi-Agent Workflow Analytics: Reconstruct agent lifecycles to analyze success rates, parallelization, and token costs by agent type.
02Automated CLAUDE.md Patch Generation: Generate data-driven improvements to CLAUDE.md files, optionally AI-powered.
03Structured Session Analytics: Gain visibility into friction patterns, cost-per-outcome, and agent success rates from local Claude Code data.
04CLAUDE.md Effectiveness Scoring: Measure the impact of prompt changes with before/after comparisons on key metrics.
05Real-time AI Self-Observability (MCP): Provide Claude with in-session access to its own history, performance, and project health.
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