Individual skill

paper-corpus-rag

Build grounded question answering and retrieval-augmented generation (RAG) over your own collection of research papers, with answers that cite the exact paper and passage. Use when a user wants to "chat with" or search a folder of PDFs, synthesize evidence across a literature corpus, find which paper says X, or build a vector/hybrid index with SQLite FTS5, pgvector (Postgres), Chroma, Qdrant or FAISS. Includes a zero-dependency local full-text index with citable hits.

plugins/KalarisLabs/research-agent-skills/skills/paper-corpus-rag/SKILL.md

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# RAG over a Research Paper Corpus

The goal is answers a researcher can check: every claim is traceable to a
specific passage of a specific paper. Retrieval quality and citation discipline
matter more than the choice of vector database.

To discover *new* candidate papers before building your local collection, use
`firecrawl-research-index` for hosted paper search and passage reads. Save only
papers you have a lawful copy of, with their DOI or source ID. This skill indexes
the user's own files; Firecrawl's hosted index is not a local corpus download.

## Tier 0: citable full-text search in one minute (no dependencies)

1. Convert PDFs to Markdown first (layout-aware converters beat raw PDF text): use the