The interface is localized. Skill descriptions and documents are machine-translated by AI into your language; code, commands, paths and technical terms stay in the original, and the author's document governs.
Explore skills
Documents · SKILL.md

keyword-literature-download

keyword-literature-download

Use when the user wants a reusable local workflow to search scholarly APIs for topic keywords, build a candidate table, rapidly download accessible PDFs into a PDF-only folder, optionally cache HTML/XML outside that folder for second-pass PDF discovery, and deduplicate the PDF files.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill documentation

GitHub

name: keyword-literature-download description: Use when the user wants a reusable local workflow to search scholarly APIs for topic keywords, build a candidate table, rapidly download accessible PDFs into a PDF-only folder, optionally cache HTML/XML outside that folder for second-pass PDF discovery, and deduplicate the PDF files.

Keyword Research Harvest

Use this skill when the user gives a topic or keyword set and wants a local literature-harvesting workflow, not a one-off manual search.

What this skill does

  • Bundles its own literature_harvest/scripts stack, including search_pubmed.py, search_europepmc.py, search_crossref.py, search_openalex.py, merge_and_deduplicate.py, download_fulltexts.py, and harvest_utils.py.
  • Searches PubMed/PMC, Europe PMC, Crossref, and OpenAlex through the bundled pipeline.
  • Builds a no-dedup candidate table first.
  • Downloads legal PDFs in parallel for faster collection.
  • Lets the user specify the PDF output folder with --pdf-output-dir or download.pdf_output_dir.
  • Keeps the PDF output folder PDF-only; HTML/XML helper files are cached under download_work/non_pdf_payloads/.
  • Runs a second pass to chase PDF links from saved HTML pages.
  • Produces a PDF-only deduplicated file folder and manifest after downloading.

Dependency model

This skill is self-contained. The target project does not need to already contain:

  • literature_harvest/
  • search_pubmed.py
  • download_fulltexts.py

The bundled copies live under:

  • literature_harvest/scripts/

Files in this skill

  • scripts/run_keyword_harvest_no_dedup.py Use this to launch a new broad keyword harvest run into a new run folder.
  • scripts/continue_download_and_dedup.py Use this to resume pending downloads, try HTML-to-PDF second pass, and build a deduplicated download set.
  • literature_harvest/scripts/ Bundled search and download dependencies copied from a working local harvest stack so the skill is portable.
  • references/config_template.json Copy and edit this for the topic-specific query set and filtering terms.
  • references/prompt_template.md Reusable prompt for another AI/agent.

Recommended workflow

  1. Choose any output parent folder where the new harvest run folder should be created.
  2. Copy references/config_template.json and edit it for the user's topic keywords.
  3. Run scripts/run_keyword_harvest_no_dedup.py with:
    • --output-root
    • --config
    • --run-name
    • optional --pdf-output-dir <folder> to put generated PDFs in a specific PDF-only folder
    • optional --download-workers <N> to tune parallel downloads
  4. If the job is large, rerun with the same --run-name and --skip-search to avoid repeating API search.
  5. Run scripts/continue_download_and_dedup.py --run-root <run-folder> --retry-failed; it reuses the stored PDF folder unless --pdf-output-dir is supplied again.
  6. Report:
    • candidate count
    • PDF downloaded count
    • true PDF count
    • HTML/XML cache count
    • remaining pending
    • deduplicated keep count

Constraints

  • Do not silently drop failed downloads.
  • Keep metadata even when download fails.
  • Prefer original research when the config asks for it, but do not hard-code one research domain.
  • Do not claim HTML/XML is PDF.
  • Never write HTML, XML, CSV, logs, manifests, or other helper files into the PDF output folder.
  • Verify a file starts with the PDF signature before saving it into the PDF output folder.
  • Treat second-pass cluster-like or support-like annotations as auxiliary only; downloading remains the primary task.

When to read references

  • Read references/config_template.json before preparing a new run config.
  • Read references/prompt_template.md when the user wants to hand this skill to another AI/agent.
Saved skills