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Ingest and vectorize PDFs or text files for RAG retrieval. Use when the user provides a PDF, document, or text file they want to analyze, study, or generate content from.
How this skill is triggered — by the user, by Claude, or both
Slash command
/notebook:ingestThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Ingest a PDF or text file into the local vector store for retrieval-augmented generation.
Ingest a PDF or text file into the local vector store for retrieval-augmented generation.
bun "${CLAUDE_SKILL_DIR}/scripts/ingest.mjs" $ARGUMENTS
bun "${CLAUDE_SKILL_DIR}/scripts/list.mjs"
To retrieve relevant chunks for any generation task:
bun "${CLAUDE_SKILL_DIR}/scripts/query.mjs" "<question>" --top-k 15
--no-ocr to skip.~/.notebook-plugin/ across sessions. Use clear to reset.npx claudepluginhub damionrashford/notebook-plugin --plugin notebookSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.