Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization.
Quickly install memory-literary-analysis AI skill to your development environment via command line
Source: basicmachines-co/basic-memory-skills.
Transform a complete literary work into a structured knowledge graph. Characters, themes, chapters, locations, symbols, and literary devices become interconnected notes — searchable, validatable, and visualizable.
Use a kebab-case slug of the work's title (e.g., great-gatsby, hamlet, beloved).
Write 6 schema notes to schema/. Each schema defines the entity type's fields, observation categories, and relation types. Adapt fields to fit the work — the schemas below are starting points, not rigid templates.
Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. Source: basicmachines-co/basic-memory-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/basicmachines-co/basic-memory-skills --skill memory-literary-analysisBrowse more skills from basicmachines-co/basic-memory-skills
Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. Source: basicmachines-co/basic-memory-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/basicmachines-co/basic-memory-skills --skill memory-literary-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/basicmachines-co/basic-memory-skills