papi
// CLI reference for paperpipe (papi). Use BEFORE MCP RAG tools. For listing, searching, showing, adding papers.
$ git log --oneline --stat
stars:8
forks:2
updated:March 1, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namepapi
descriptionThis skill should be used when the user wants to interact with their paper database — listing papers, searching content, showing paper details, adding papers, or exporting context. Matches queries like "search papers for X", "add this arXiv paper", "show equations from paper Y", "what papers do I have". Prefer CLI over MCP RAG tools for direct lookups.
Paper Reference Assistant (CLI)
Entry point skill. Use papi CLI first; MCP RAG tools only when CLI is insufficient.
For specialized workflows, invoke dedicated skills:
/papi-ask— RAG queries requiring synthesis/papi-verify— verify code against paper/papi-compare— compare papers for decision/papi-ground— ground responses with citations/papi-curate— create project notes
Setup
papi path # DB location (default ~/.paperpipe/; override via PAPER_DB_PATH)
papi list # available papers
papi list | grep -i "keyword" # check if paper exists before searching
When NOT to Use MCP RAG
- Paper name known →
papi show <paper> -l summary - Exact term search →
papi search --rg "term" - Checking equations →
papi show <paper> -l eq - Only use RAG when above methods fail or semantic matching required
Decision Tree
| Question | Tool |
|---|---|
| "What does paper X say about Y?" | papi show X -l summary, then papi search --rg "Y" |
| "Does my code match the paper?" | /papi-verify skill |
| "Which paper mentions X?" | papi search --rg "X" first, then leann_search() if no hits |
| "Compare approaches across papers" | /papi-compare skill or papi ask |
| "Need citable quote with page number" | retrieve_chunks() (PQA MCP) |
| "Cross-paper synthesis" | papi ask "..." |
Search Commands
papi search --rg "query" # literal text match (fast, no LLM) — NOT regex by default!
papi search --rg --regex "pattern" # regex patterns (add --regex explicitly)
papi search "query" # ranked BM25
papi search --hybrid "query" # ranked + exact boost
papi search "query" -p paper1,paper2 # limit search to specific papers
papi ask "question" # PaperQA2 RAG
papi ask "question" --backend leann # LEANN RAG
papi notes {name} # open/print implementation notes
Search Escalation (cheapest first)
papi search --rg "X"— exact text, fast, no LLMpapi search "X"— ranked BM25 (requirespapi index --backend searchfirst)papi search --hybrid "X"— ranked + exact boostleann_search()— semantic search, returns file paths for follow-upretrieve_chunks()— formal citations (DOI, page numbers)papi ask "..."— full RAG synthesis
MCP Tool Selection (when papi CLI insufficient)
| Tool | Speed | Output | Best For |
|---|---|---|---|
leann_search(index_name, query, top_k) | Fast | Snippets + file paths | Exploration, finding which paper to dig into |
retrieve_chunks(query, index_name, k) | Slower | Chunks + formal citations | Verification, citing specific claims |
papi ask "..." | Slowest | Synthesized answer | Cross-paper questions, "what does literature say" |
- Check available indexes:
leann_list()orlist_pqa_indexes() - Embedding priority: Voyage AI → Google/Gemini → OpenAI → Ollama
Adding Papers
papi add 2303.13476 # arXiv ID
papi add https://arxiv.org/abs/... # URL
papi add 2303.13476 1706.03762 "Attention Is All You Need" # multiple at once (mixed sources OK)
papi add --pdf /path/to.pdf # local PDF
papi add --pdf "https://..." # PDF from URL
papi add --from-file papers.bib # bulk import
Per-Paper Files
Located at {db}/papers/{name}/: equations.md, summary.md, source.tex, notes.md, paper.pdf, figures/.
If agent can't read ~/.paperpipe/, export to repo: papi export <papers...> --level equations --to ./paper-context/
Use --figures to include extracted figures in export.
See references/commands.md for full command reference and per-file details.