from claude-skill-registry334
Four-stage deep-reading workflow that analyzes long-form novels to produce metadata, per-chunk analyses, a synthesized Chinese report, and optional character pr
This skill provides a structured, four-stage workflow for professional-grade literary analysis of long-form novels. Given a novel file path, it performs (1) a skim to extract metadata, (2) parallel chunked close readings producing JSON per chunk, (3) synthesis into a comprehensive Chinese report, and (4) optional character-profile generation. Outputs include metadata.json, chunk_XX.json files, report.md, and character profiles. The workflow is designed to scale to large texts (thousands of lines) and to preserve original-language quotes when synthesizing in Chinese.
Use when you need a deep literary analysis of a long novel — for literary criticism, academic study, character-arc tracking, stylistic research, or extracting key quotes and thematic summaries. Trigger conditions include requests like “analyze this novel,” “generate character profiles,” or “produce a deep reading report in Chinese.”
Best used with general-purpose LLM agents capable of file I/O and parallel tasks (Claude Code, Codex/Codex-like agents, or an agent orchestration layer that can start background tasks).
This skill has not been reviewed by our automated audit pipeline yet.
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