tyler

Convert PDF directories into a two-tier markdown wiki with index.

35|9|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/johanfourieza/econtools --skill tyler
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tyler
Source: https://github.com/johanfourieza/econtools/tree/main/tyler
Command: npx skills add https://github.com/johanfourieza/econtools --skill tyler

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converting large collections of academic PDFs into a token-efficient, easily navigable knowledge base by generating a two-tier markdown wiki with an index and papers/*.md for on-demand reading.

Core Features & Use Cases

  • Two-tier structure: index.md with metadata and abstracts, and papers/*.md with full, cleaned markdown for on-demand reading.
  • Incremental conversions: only new or changed PDFs are processed when possible.
  • BibTeX matching to attach citekeys when a .bib file is provided.
  • Obsidian-ready vault format with YAML frontmatter and wiki-style linking for fast searching.
  • Token savings: dramatically reduces token usage when referencing a large library of papers.

Quick Start

Provide the PDF_DIR and WIKI_DIR to start generating the token-efficient literature wiki.

Frequently Asked Questions about tyler

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a directory of academic PDFs into a markdown wiki for Obsidian?

This Skill processes a PDF directory to create a token-efficient two-tier markdown wiki with an index and per-paper notes, featuring Obsidian-ready YAML frontmatter and wiki-style linking for fast vault searching.

What is the best way to reduce token usage when referencing a large library of economics papers?

A two-tier wiki structure reduces token usage by keeping an index of metadata and abstracts separate from full per-paper markdown files, allowing on-demand reading and dramatically cutting token consumption for large economics literature libraries.

Can I use a BibTeX file to attach citation keys to extracted PDF markdown notes?

Yes, BibTeX matching is supported. By providing a .bib file alongside your PDF directory, the conversion process matches entries and attaches corresponding citekeys to the generated per-paper markdown notes.

Does incremental PDF to markdown conversion skip previously processed files?

Yes, incremental processing is supported. The converter detects new or changed PDFs in the directory and processes only those files, efficiently updating the markdown wiki index and per-paper notes without reprocessing the entire library.

How does PDF to markdown wiki conversion handle scanned PDFs and extraction errors?

The conversion includes error handling specifically designed for typical scanned PDFs. It manages metadata extraction and text cleaning gracefully, preventing processing failures when encountering poorly scanned academic literature.