ai-context-kit is a toolkit designed to measure and manage the token cost of context files used by AI agents, helping to optimize their performance by selecting only relevant rules for specific tasks.
From the registry: Lint, measure, and sync AI context files across Cursor, Claude Code, Copilot.
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Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
Validate oh-my-posh configurations and segment snippets against the official schema.