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bibliographer
A libkit-backed bibliographer for a personal collection of academic articles: add/import papers from DOI, arXiv, PMID/PMCID, Semantic Scholar id, or PDF; auto-fetch metadata; file PDFs into a human-readable author tree; full-text + semantic search; HTML viewer; audit.
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bibliographer
/bibliographer
Manage a personal collection of academic articles — add papers from a DOI, arXiv ID, PMID/PMCID, Semantic Scholar ID, or a PDF (auto-fetching metadata from Crossref/arXiv/PubMed/Semantic Scholar), keep PDFs organized on disk in a human-readable author tree, search and browse the library, run semantic search inside the papers, generate BibTeX, bulk-import a folder of PDFs, and run dedupe/integrity checks. It also **discovers new papers** on a topic across many scholarly search APIs (OpenAlex, Semantic Scholar, Europe PMC, PubMed, Crossref, arXiv) and banks them into the library. Use this skill whenever the user wants to save, file, organize, look up, or tidy research papers, build or maintain a bibliography or reading list, run a literature search / find papers on a topic, import a folder of PDFs into their paper collection, find duplicate papers, recover or fix metadata for scanned/untitled PDFs, search the contents of their papers, or export citations — even if they don't say "bibliographer." Triggers include "add this paper," "save this arXiv link," "what papers do I have on X," "find papers on X," "do a literature search," "what's published on X," "import these PDFs," "make a bibliography," "find the DOI/metadata for these PDFs," "search my papers for X," "check my library for duplicates," or "export BibTeX." For a tree of internal scientific experiments (raw lab/CRO data, extracted measurements, analysis, grounded claims), use the scientist skill instead.
scientist
/scientist
Manage a tree of scientific experiments end to end — one folder per experiment holding raw lab/CRO deliverables, extracted data, re-derived analysis, grounded claims, reports, and internal summaries — as one provenance-tracked pipeline raw→data→analysis→claims. Extract raw measurements out of CRO files (Excel .xlsx/.xls, GraphPad Prism .pzfx/.prism, Word/PDF/ PowerPoint) into tidy deterministic data/ CSVs; re-derive analysis (EC50/Hill fits, stats, summaries, figures) from that data; assert grounded scientific claims (each a re-runnable pytest spec linking a statement to sha-pinned evidence with a strength); and index everything into a libkit store for semantic + full-text search — with claims and internal summaries the highest-value searchable content. Use this skill whenever the user wants to turn CRO spreadsheets / Prism / reports into clean data, (re)generate or audit an experiment's data or analysis, fit a dose-response, make or check a grounded claim, ask "what's the evidence for X," "which study has the Day-29 knockdown numbers," or "everything we ran with ASO 7," file a new CRO/lab delivery, scaffold a new experiment folder, keep a README/summary current, or trace a result back to the original measurements — even if they don't say "scientist." For a personal library of published academic papers (DOIs, arXiv, PMIDs, PDFs), use bibliographer instead.
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Version0.1.0
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LanguagePython
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MaintenanceExcellent
LicenseMIT
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