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Papi

  • 1 installs
  • 35 repo stars
  • Updated August 1, 2026
  • hummat/paperpipe

Interact with a local paper database via the papi CLI to list, search, show details, add papers, or export context, preferring CLI over MCP RAG for direct lookups.

About

Entry-point skill for a paper reference database driven by the papi CLI for listing, searching, adding, and exporting papers. A developer uses it as the first stop for paper lookups, delegating synthesis to dedicated papi sub-skills.

  • papi CLI list/search/show/add over a local paper DB
  • Routes to papi-ask, verify, compare, ground, and curate for deeper workflows

Papi by the numbers

  • 1 all-time installs (skills.sh)
  • Ranked #2,479 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/hummat/paperpipe --skill papi

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Installs1
repo stars35
Last updatedAugust 1, 2026
Repositoryhummat/paperpipe

What it does

Interact with a local paper database via the papi CLI to list, search, show details, add papers, or export context, preferring CLI over MCP RAG for direct lookups.

Files

SKILL.mdMarkdownGitHub ↗

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

QuestionTool
"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)

1. papi search --rg "X" — exact text, fast, no LLM 2. papi search "X" — ranked BM25 (requires papi index --backend search first) 3. papi search --hybrid "X" — ranked + exact boost 4. leann_search() — semantic search, returns file paths for follow-up 5. retrieve_chunks() — formal citations (DOI, page numbers) 6. papi ask "..." — full RAG synthesis

MCP Tool Selection (when papi CLI insufficient)

ToolSpeedOutputBest For
leann_search(index_name, query, top_k)FastSnippets + file pathsExploration, finding which paper to dig into
retrieve_chunks(query, index_name, k)SlowerChunks + formal citationsVerification, citing specific claims
papi ask "..."SlowestSynthesized answerCross-paper questions, "what does literature say"
  • Check available indexes: leann_list() or list_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.

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