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Specialized knowledge for parsing Claude Code JSONL transcripts, extracting high-signal narrative events, and linking subagent logs.
This skill provides the technical specifications and logic required to transform raw Claude Code JSONL conversation files into high-signal narrative data. It differentiates between 'signal' (user requests, assistant decisions) and 'noise' (internal bookkeeping, progress hooks).
Use this skill when building pipelines that analyze AI-human interactions, creating blog posts from conversation history, or performing forensic analysis on Claude Code session logs.
tool_use blocks to specific subagent .jsonl files via agentId regex.Designed for agents operating within the Claude Code ecosystem or custom Python-based analysis pipelines.
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