Individual skill

pdf-explore

Use this skill when the user has attached a PDF, paper, report, or other document and the answer needs content from more than one place in it: summarize the methods or any other section, compare sections, find where a topic is discussed, read a value or label off a figure or chart, or find/list/extract every instance of something across the whole document (datasets, benchmarks, citations, figures, table rows, accession numbers — including appendices). Parses the PDF once with a deterministic Python kernel: `pdf_pages` (pages as persistent text, or high-res images), `pdf_outline` (embedded TOC), `pdf_scan` (a lexical pre-filter that narrows a long doc to candidate pages), `pdf_grep` (regex sweep for exhaustive pattern extraction). You read the shortlist and do the relevance / summary / extraction judgment yourself. For PDF creation/manipulation, use reportlab/pypdf directly.

configs/microservice/bff-service/configs/agent-skills/claude-science/pdf-explore/SKILL.md

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Last checked
Nov 9, 2026

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Repository last updated
Nov 6, 2026
License
Apache-2.0

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# PDF Explore — navigate a PDF too big to embed

A 50-page PDF read in full is ~200K tokens of context. When the answer
draws on several sections at once (summarize the methods; compare section
3 and section 5), or when the answer is "every page" (list all the
datasets / citations / figures / benchmarks mentioned anywhere in this
document), reading the whole thing page-by-page is the expensive way to
get it. This skill parses the PDF **once** into persistent text with a
deterministic Python kernel, then lets you **narrow** — by outline, by
lexical scan, by regex — and read only the pages you actually need,
reasoning over them yourself. Nothing you read vanishes: it is ordinary
text and ordinary files.

## Setup (any agent, no API key)