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
Source commit 3f908c703fd75033217ed549f1998563d13a1dc0
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 2,386
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- llm Repository topic
- mcp Repository topic
- rag Repository topic
- wanwu Repository topic
- workflow Repository topic
- agentic-ai Repository topic
- agentic-framework Repository topic
- ai-agent Repository topic
- ai-agent-development-framework Repository topic
- writing Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
.catalog_stampruns · 13 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 bytesSKILL.mdcore · 12,424 byteskernel.pyruns · 19,642 bytes
Read excerpt
# 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)