pdf-explore

# PDF Explore — navigate a PDF too big to embed The built-in `Read(file_path=..., pages=[...])` attaches PDF pages as vision blocks — capped at ~20 pages/turn and **dropped from context after one turn**, so multi-section synthesis turns into re-reading the same pages over and over. And when the answer is "every page" (list all datasets / citations / figures mentioned anywhere), reading the whole document page-by-page is the expensive way to get it. This skill parses the PDF **once** into persistent per-page text, and — for whole-document work — runs **one cheap model call per page (or per batch) in parallel via Task subagents**, so the page text lives in files and subagent contexts, never in yours. You load only what matters, or sweep every page without putting the pages in your own context at all. `Read(pages=...)` and this skill are **complementary**: use `Read(pages=...)` for a one-off look at 1–4 pages you will quote in your very next reply; use this skill for persistent text, multi-section synthesis, whole-doc sweeps, and structured extraction. ## Loading the kernel The helpers live in `kernel.py` next to this file. It is **not** auto-injected — import it by path in a Bash `python` heredoc (zero import-time side effects, all heavy imports are lazy): ```bash python3 - <<'PY' import importlib.util K = "/ABSOLUTE/PATH/TO/pdf-explore/kernel.py" # this SKILL.md's directory + /kernel.py spec = importlib.util.spec_from_file_location("pdf_kernel", K) k = importlib.util.m...